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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Res. Metr. Anal.</journal-id>
<journal-title>Frontiers in Research Metrics and Analytics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Res. Metr. Anal.</abbrev-journal-title>
<issn pub-type="epub">2504-0537</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/frma.2025.1496571</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Metrics and Analytics</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Decades of discovery: unveiling emerging trends, pivotal research areas, and landmark publications in national tobacco research in India</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Singh</surname> <given-names>Alok</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2509332/overview"/>
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<contrib contrib-type="author">
<name><surname>Kashyap</surname> <given-names>Akanksha</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
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<contrib contrib-type="author">
<name><surname>Varshney</surname> <given-names>Saurabh</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Bhattacharya</surname> <given-names>Sudip</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Faculty of Medicine and Health Sciences, Shree Guru Gobind Singh Tricentenary University, Gurugram</institution>, <addr-line>Haryana</addr-line>, <country>India</country></aff>
<aff id="aff2"><sup>2</sup><institution>Mahatma Gandhi Kashi Vidyapith, Varanasi</institution>, <addr-line>Uttar Pradesh</addr-line>, <country>India</country></aff>
<aff id="aff3"><sup>3</sup><institution>All India Institute of Medical Sciences, Deoghar (AIIMS Deoghar)</institution>, <addr-line>Deoghar</addr-line>, <country>India</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Nilesh Chandrakant Gawde, Tata Institute of Social Sciences, India</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Alok Ranjan, Indian Institute of Technology Jodhpur, India</p>
<p>Abhinav Manish, Soban Singh Jeena Government Institute of Medical Sciences and Research, India</p>
<p>Daksha Parmar, D Y Patil Deemed to be University, India</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Sudip Bhattacharya <email>drsudip81&#x00040;gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>10</volume>
<elocation-id>1496571</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>01</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2025 Singh, Kashyap, Varshney and Bhattacharya.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Singh, Kashyap, Varshney and Bhattacharya</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Tobacco use remains a major public health concern in India, contributing significantly to the burden of non-communicable diseases and premature mortality. Over the past two decades, national tobacco research has evolved in response to shifting regulatory frameworks, scientific developments, and increasing awareness of tobacco&#x00027;s health, social, and environmental implications. The World Health Organization Framework Convention on Tobacco Control (WHO FCTC), adopted in 2003, has played a catalytic role in aligning research efforts with global priorities. However, there is a need to map the growth and direction of this research to identify strengths, gaps, and emerging trends within the Indian context.</p></sec>
<sec>
<title>Methods</title>
<p>A bibliometric analysis was conducted to evaluate tobacco-related research output affiliated with Indian institutions between 2003 and 2024. Data were retrieved from the SCOPUS database, limited to peer-reviewed journal articles and reviews published in English. Analytical tools included SCOPUS Analytics, Microsoft Excel, the Biblioshiny package in R, and VOS viewer software. These tools were used to extract and visualize trends in publication volume, subject categories, key authors, institutional collaborations, citation metrics, and thematic hotspots. Inclusion criteria were confined to Indian-affiliated institutions contributing to national and global discourse on tobacco research.</p></sec>
<sec>
<title>Results</title>
<p>Tobacco research in India showed a consistent upward trend post-2003, with notable surges corresponding to key public health developments. The majority of publications were concentrated in the domain of medicine, particularly focusing on cancer prevention and tobacco control interventions. Leading contributors included institutions such as the All India Institute of Medical Sciences (AIIMS), with significant collaborations observed with United States-based researchers. Despite increased output, research on the social and environmental consequences of tobacco use remained limited. Additionally, international collaboration was relatively low, and funding was primarily from Indian agencies, with minimal support from global or low-income country partnerships. Notably, recent studies employed advanced methodologies, such as machine learning and nanotechnology, and examined newer themes like the intersection of tobacco use and COVID-19-related respiratory risks.</p></sec>
<sec>
<title>Discussion</title>
<p>The findings indicate a maturing research ecosystem around tobacco in India, strongly anchored in biomedical science and policy interventions. However, the underrepresentation of interdisciplinary studies exploring socio-cultural and ecological dimensions suggests a critical gap. Moreover, the low levels of international collaboration and inadequate funding for low-income contexts highlight systemic limitations that could hinder progress. To advance tobacco research nationally and globally, enhanced collaboration across disciplines and geographies is essential. Incorporating emerging technologies and focusing on equity-driven research agendas will be pivotal in addressing the multifaceted impact of tobacco use.</p></sec></abstract>
<kwd-group>
<kwd>tobacco research</kwd>
<kwd>research gaps</kwd>
<kwd>GATS</kwd>
<kwd>GYTS</kwd>
<kwd>India</kwd>
<kwd>NTCP</kwd>
</kwd-group>
<counts>
<fig-count count="14"/>
<table-count count="10"/>
<equation-count count="0"/>
<ref-count count="33"/>
<page-count count="16"/>
<word-count count="7386"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Research Assessment</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>National tobacco research is undergoing significant transformation as public health concerns, regulatory pressures, and scientific advancements shape the field (van der Eijk, <xref ref-type="bibr" rid="B30">2015</xref>). Emerging trends reflect a growing emphasis on tobacco control, harm reduction, and the effects of new nicotine delivery systems such as e-cigarettes and heated tobacco products (O&#x00027;Connor et al., <xref ref-type="bibr" rid="B20">2022</xref>). Key research areas now focus on the health impacts of tobacco use, the social and economic factors influencing smoking behavior, and effective cessation strategies. Environmental tobacco smoke, youth-targeted marketing, and national disparities in tobacco-related harm are also critical areas of inquiry. Influential publications in this domain, such as &#x0201C;Tobacco Control,&#x0201D; &#x0201C;Nicotine and Tobacco Research,&#x0201D; and reports from the World Health Organization (WHO), provide cutting-edge insights, guiding policy and public health interventions (Joseph et al., <xref ref-type="bibr" rid="B9">2021</xref>). As tobacco use remains a leading cause of preventable deaths nationally, ongoing research is crucial for shaping effective, evidence-based responses to this pressing health challenge (John, <xref ref-type="bibr" rid="B8">2005</xref>; Mishra et al., <xref ref-type="bibr" rid="B15">2012</xref>; Services et al., <xref ref-type="bibr" rid="B27">2014</xref>; Nazar et al., <xref ref-type="bibr" rid="B19">2020</xref>; Shaikh et al., <xref ref-type="bibr" rid="B28">2022</xref>; Pahari et al., <xref ref-type="bibr" rid="B21">2023</xref>). Research in national tobacco control is essential because tobacco use remains one of the leading causes of preventable illness and deaths worldwide. Understanding emerging trends, such as the rise of e-cigarettes and novel nicotine products, is critical for addressing their potential health impacts and informing public policy (Tattan-Birch et al., <xref ref-type="bibr" rid="B29">2024</xref>). Key research areas, including the social determinants of tobacco use, youth smoking prevention, and effective cessation strategies, help in developing interventions that can reduce the national burden of tobacco-related diseases. Moreover, influential publications and studies drive evidence-based decision-making, shaping regulations, public health campaigns, and international frameworks, such as the World Health Organization&#x00027;s Framework Convention on Tobacco Control (FCTC; Myers et al., <xref ref-type="bibr" rid="B17">2023</xref>). By continuously advancing tobacco research, we can mitigate the immense social, economic, and health costs associated with smoking and nicotine addiction (KA et al., <xref ref-type="bibr" rid="B10">1996</xref>; Warner, <xref ref-type="bibr" rid="B32">2005</xref>; Lindson et al., <xref ref-type="bibr" rid="B13">2017</xref>; Berg et al., <xref ref-type="bibr" rid="B1">2018</xref>; Meissner et al., <xref ref-type="bibr" rid="B14">2022</xref>). Despite decades of tobacco control efforts, significant gaps persist in our understanding of the evolving landscape of nicotine consumption, particularly concerning the long-term health consequences of emerging products such as e-cigarettes and heated tobacco devices. These products are often introduced with claims of harm reduction, yet empirical data on their safety profiles and potential to facilitate cessation remain inconclusive. Simultaneously, socio-cultural drivers of tobacco use in low- and middle-income countries, including India, are underexplored in the literature, despite these regions bearing a disproportionate burden of tobacco-related morbidity. This bibliometric study addresses these critical voids by mapping national tobacco research trends from 2003 to 2024, thereby highlighting not only the scientific focus on biomedical impacts but also the relative neglect of behavioral, cultural, and socio-economic determinants (Salt and Osborne, <xref ref-type="bibr" rid="B26">2020</xref>). Through a systematic analysis of publication patterns, research clusters, and funding sources, the study provides an evidence-based framework for identifying overlooked areas and guiding future interdisciplinary research and policy interventions (Ribisl, <xref ref-type="bibr" rid="B25">2012</xref>; Hicks et al., <xref ref-type="bibr" rid="B5">2019</xref>; Claire et al., <xref ref-type="bibr" rid="B3">2020</xref>; Parascandola et al., <xref ref-type="bibr" rid="B22">2022</xref>; Puljevi&#x00107; et al., <xref ref-type="bibr" rid="B23">2022</xref>).</p>
<sec>
<title>Aim</title>
<p>The aim of this study was to conduct a comprehensive analysis of national tobacco research from 2003 to 2024, with a focus on identifying emerging trends, examining key research areas, and evaluating influential publications.</p></sec>
<sec>
<title>Objectives</title>
<p>Our study objectives were:</p>
<list list-type="order">
<list-item><p>To identify and analyse emerging trends in tobacco use and control, including the rise of novel nicotine delivery systems such as e-cigarettes, heated tobacco products, and vaping, and their implications for public health.</p></list-item>
<list-item><p>To examine key research areas that have shaped the field, such as the health impacts of tobacco products, cessation strategies, regulatory frameworks, and the socio-economic factors influencing tobacco use.</p></list-item>
<list-item><p>To evaluate the most influential publications in tobacco research, including peer-reviewed articles, reports, and policy documents, to understand their role in shaping national tobacco control strategies and public health policies.</p></list-item>
</list></sec></sec>
<sec sec-type="methods" id="s2">
<title>Methodology</title>
<sec>
<title>Pre-planning</title>
<p>During the pre-planning phase, search queries were identified and are presented in <xref ref-type="fig" rid="F1">Figure 1</xref>. These queries were related to tobacco research and India. By including criteria for tobacco with terms India, our goal was to investigate the fundamental, intellectual and conceptual landscape of studies exploring the tobacco research in India from 2003 to 2024. This data is crucial for understanding tobacco research in India. Moreover, specific research questions, outlined in <xref ref-type="table" rid="T1">Table 1</xref>, were formulated to provide a comprehensive overview of the knowledge structure and the bibliometric and statistical methods used to evaluate tobacco research from 2003 to 2024.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>List of keywords.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frma-10-1496571-g0001.tif"/>
</fig><table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Integration of research questions with the knowledge structure using bibliometric and statistical methodologies.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#727779;color:#ffffff">
<th valign="top" align="left"><bold>SL No</bold></th>
<th valign="top" align="left"><bold>Research questions</bold></th>
<th valign="top" align="left"><bold>Knowledge structure covered</bold></th>
<th valign="top" align="left"><bold>Bibliometric techniques</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1.</td>
<td valign="top" align="left">What are the publishing trends of the research publication in tobacco research?</td>
<td valign="top" align="left">Intellectual structure</td>
<td valign="top" align="left">Annual scientific production</td>
</tr> <tr>
<td valign="top" align="left">2.</td>
<td valign="top" align="left">Who are the most contributing authors, journals, organizations, funding agencies, and countries, and cited papers in tobacco research?</td>
<td valign="top" align="left">Intellectual structure</td>
<td valign="top" align="left">Analysis of most prolific authors, journal, organization, funding agencies, countries and top cited articles</td>
</tr> <tr>
<td valign="top" align="left">3.</td>
<td valign="top" align="left">What are the publication patterns and most frequently used keywords of the articles published in tobacco research?</td>
<td valign="top" align="left">Conceptual structure</td>
<td valign="top" align="left">Annual scientific production, co-citation of references, authors keyword occurrence and authors keyword co-occurrence analysis</td>
</tr> <tr>
<td valign="top" align="left">4.</td>
<td valign="top" align="left">What are the trending topics of the tobacco research?</td>
<td valign="top" align="left">Conceptual structure</td>
<td valign="top" align="left">Analysis of trending topics, authors keyword occurrence analysis and authors keyword co-occurrence analysis</td>
</tr> <tr>
<td valign="top" align="left">5.</td>
<td valign="top" align="left">What are the main open areas of challenges and the corresponding solutions for future research work in tobacco research?</td>
<td valign="top" align="left">Conceptual structure</td>
<td valign="top" align="left">Analysis of trending topics, authors keyword occurrence analysis and authors keyword co-occurrence analysis</td>
</tr></tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Data collection</title>
<p>During the data collection process, a systematic search was conducted in the SCOPUS core collection to collect articles published from January 1, 2003, to September 11, 2024, with a focus on tobacco research in India. The search terms used for retrieving data are detailed in <xref ref-type="fig" rid="F1">Figure 1</xref>. Only research articles and review papers published in English were included. This process identified a total of 9,815 publications in SCOPUS for analysis after screening.</p></sec>
<sec>
<title>Data extraction</title>
<p>Metadata were retrieved from the Scopus database in CSV format, encompassing comprehensive bibliographic information. The dataset included the following elements: (a) names of authors and editors, (b) complete author names, (c) article titles, (d) publication sources, (e) author-supplied keywords, (f) indexed keywords, (g) abstracts, (h) institutional affiliations of authors, (i) corresponding authors&#x00027; affiliations, (j) cited references, (k) citation counts, (l) records of highly cited publications, (m) usage statistics, (n) year of publication, (o) digital object identifiers (DOIs), (p) subject classifications, (q) unique author identification codes, (r) publication languages, and (s) funding bodies.</p>
</sec>
<sec>
<title>Data refinement</title>
<p>In the data refinement stage, the initial dataset comprising 9,982 publications retrieved from the Scopus database was screened and filtered based on predefined exclusion criteria, as outlined in <xref ref-type="fig" rid="F2">Figure 2</xref>. Publications categorized as books, editorials, letters, conference proceedings, or non-peer-reviewed materials were excluded. Additionally, studies not published in the English language were removed to maintain consistency in content analysis. The screening process was independently conducted by two reviewers (A.S and SV) to ensure objectivity and methodological rigor. Discrepancies or conflicts regarding study inclusion were addressed through consultation with a third reviewer (SB), employing a consensus-driven methodology to reach a resolution. Following the application of these exclusion criteria, the final dataset comprised 8,346 peer-reviewed articles relevant to tobacco research. A systematic overview of the selection and refinement process is presented in <xref ref-type="fig" rid="F2">Figures 2</xref>&#x02013;<xref ref-type="fig" rid="F4">4</xref>.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Eligibility criteria for selection of study.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frma-10-1496571-g0002.tif"/>
</fig>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Different phases of bibliometric analysis of scientific literature on ultra-processed foods in cancer research from 2003 to 2024.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frma-10-1496571-g0003.tif"/>
</fig>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Results of the keywords search as per PRISMA guidelines.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frma-10-1496571-g0004.tif"/>
</fig></sec><sec>
<title>Bibliometric analysis</title>
<p>Bibliometric analysis serves as a robust and systematic method for organizing, accessing, and evaluating large volumes of scientific literature. It facilitates a comprehensive understanding of evolving research trends within a specific domain. (4) In the present study, a bibliometric analysis was conducted on publications related to tobacco research from 2003 to 2024, guided by the five key research questions outlined in <xref ref-type="table" rid="T1">Table 1</xref>. For the analytical process, the tools Biblioshiny and VOSviewer were employed to assess publication dynamics and research patterns in this field. Furthermore, this analysis seeks to map and evaluate the intellectual structure and development of scientific knowledge pertaining to tobacco research. The foundational knowledge base within this research area is conceptualized into two primary components:</p>
<sec>
<title>Conceptual structure</title>
<p>Examines the principal themes and emerging research trends that define the intellectual landscape of a specific scholarly domain.</p></sec>
<sec>
<title>Intellectual structure</title>
<p>Evaluates the scholarly impact and significance of individual authors based on their contributions to the advancement of knowledge within the academic community.</p>
<p>The conceptual structure is analyzed through statistical methods such as the Authors&#x00027; keyword co-occurrence network analysis, the Authors&#x00027; keywords occurrence and trending topics. Following this, the intellectual structure is assessed using co-citation network analysis. By examining these two dimensions&#x02014;conceptual, intellectual this study seeks to understand the knowledge framework underpinning tobacco research from 2003 to 2024. (6) This analysis aims to showcase key accomplishments and identify future research directions in the field.</p></sec></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Fundamental bibliometric analysis</title>
<sec>
<title>Annual publications and trends</title>
<p>The data presented in <xref ref-type="fig" rid="F5">Figure 5</xref> illustrates a general upward trend in tobacco-related publications in India over the past two decades. Until 2007, the annual number of publications remained below 200. However, a consistent year-on-year increase was observed after 2007, indicating that tobacco research in India entered a phase of rapid development. The highest output was recorded in 2023, with 657 publications in that year.</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Annual scientific production on tobacco research in India (2003&#x02013;2024; source: Scopus).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frma-10-1496571-g0005.tif"/>
</fig></sec>
<sec>
<title>Analysis of the subject area</title>
<p>The pie chart in <xref ref-type="fig" rid="F6">Figure 6</xref> presents the distribution of research output on tobacco across different subject areas. The majority of studies are concentrated in the field of Medicine, comprising 37%. This is followed by Biochemistry, Genetics, and Molecular Biology at 18.2%, Agricultural and Biological Sciences at 9.7%, and Pharmacology, Toxicology, and Pharmaceutics at 6.3%. Other disciplines include Dentistry (5.2%), Environmental Science (3.9%), Immunology and Microbiology (3.1%), Social Sciences (2.9%), Multidisciplinary research (1.9%), and Chemical Engineering (1.8%), with 9.6% attributed to various other fields. This analysis highlights Medicine as the primary focus of tobacco-related research.</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Distribution of tobacco-related publications by academic subject area (source: Scopus).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frma-10-1496571-g0006.tif"/>
</fig></sec>
<sec>
<title>Analysis of the organizations</title>
<p>The study analyzed contributions from 16,793 distinct organizations, with 10 institutions publishing at least 147 papers. The All India Institute of Medical Sciences, New Delhi, ranked highest with 359 papers, followed by the Postgraduate Institute of Medical Education and Research, Chandigarh (283 papers), and the Public Health Foundation of India (253 papers). Other significant contributors included Saveetha Dental College and Hospitals with 240 papers, the ICMR (Indian Council of Medical Research) with 226, and the Saveetha Institute of Medical and Technical Sciences with 225 papers (<xref ref-type="table" rid="T2">Table 2</xref>). VOS viewer software was employed to visualize co-authorship between institutions, helping to identify collaborative networks and track their evolution over time. The analysis focused on institutions that produced 10 or more papers, with the results presented in <xref ref-type="fig" rid="F7">Figure 7</xref>. In this visualization, node size represented publication volume, links depicted co-authorship connections, and node colors indicated distinct clusters. From the 16,793 organizations, 18 institutions were included in the analysis. The most productive institution, All India Institute of Medical Sciences, New Delhi (Cluster 1, red), is strongly connected with the Center for Community Medicine, New Delhi, and the School of Preventive Oncology, Patna. Cluster 2 (green) featured the Center for Chronic Disease, New Delhi, collaborating closely with the London School of Hygiene and Tropical Medicine, UK, and the Public Health Foundation of India. Cluster 3 (blue) involved the Department of Health Sciences, University of York, UK, and Hriday, Delhi.</p><table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Leading Indian institutions in tobacco research (2003&#x02013;2024).</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#727779;color:#ffffff">
<th valign="top" align="left"><bold>Organizations</bold></th>
<th valign="top" align="center"><bold>Documents</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">All India Institute of Medical Sciences, New Delhi</td>
<td valign="top" align="center">359</td>
</tr> <tr>
<td valign="top" align="left">Postgraduate Institute of Medical Education and Research, Chandigarh</td>
<td valign="top" align="center">283</td>
</tr> <tr>
<td valign="top" align="left">Public Health Foundation of India</td>
<td valign="top" align="center">253</td>
</tr> <tr>
<td valign="top" align="left">Saveetha Dental College and Hospitals</td>
<td valign="top" align="center">240</td>
</tr> <tr>
<td valign="top" align="left">Indian Council of Medical Research</td>
<td valign="top" align="center">226</td>
</tr> <tr>
<td valign="top" align="left">Saveetha Institute of Medical and Technical Sciences</td>
<td valign="top" align="center">225</td>
</tr> <tr>
<td valign="top" align="left">Manipal Academy of Higher Education</td>
<td valign="top" align="center">199</td>
</tr> <tr>
<td valign="top" align="left">Tata Memorial Hospital</td>
<td valign="top" align="center">177</td>
</tr> <tr>
<td valign="top" align="left">King George&#x00027;s Medical University</td>
<td valign="top" align="center">164</td>
</tr> <tr>
<td valign="top" align="left">University of Delhi</td>
<td valign="top" align="center">147</td>
</tr></tbody>
</table>
</table-wrap><fig id="F7" position="float">
<label>Figure 7</label>
<caption><p>Network visualization of institutional co-authorship in tobacco research in India (2003&#x02013;2024).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frma-10-1496571-g0007.tif"/>
</fig><p>The findings suggest that inter-institutional collaborations predominantly occur within national borders. Institutions with higher publication outputs tended to collaborate more frequently with others, indicating that fostering institutional partnerships could enhance the quality and quantity of research outputs.</p></sec>
<sec>
<title>Analysis of authors</title>
<p>A total of 21,934 researchers participated in tobacco-related studies, with 10 authors contributing 53 or more papers each. <xref ref-type="table" rid="T3">Table 3</xref> highlights these prolific authors, who collectively produced 797 publications, accounting for 9.54% of total submissions. Among them, Gupta, Prakash Chandra from the Healis Sekhsaria Institute for Public Health, Navi Mumbai, was the most productive, publishing 140 papers. He was followed by Sinha, Dhirendra Narain (114 papers), also from Healis Sekhsaria, and Arora, Monika (97 papers) from the Public Health Foundation of India, New Delhi. The research work by Lim, Stephen S. and colleagues had the highest citation count, with 9,410 citations. The top 10 authors were primarily based in India, USA. Based on Price&#x00027;s Law, the equation m = 0.749 &#x000D7; &#x0221A;(max(n)) was applied, where &#x02018;m&#x00027; represents the minimum number of publications by leading authors, and &#x0201C;max(n)&#x0201D; is the total number of publications by the most prolific author. Authors with 11 or more publications were categorized as core contributors. VOS viewer software was employed to visualize co-authorship networks, which track the development of research collaborations over time. Each &#x0201C;bubble&#x0201D; in the visualization represents an author, with its size indicating the number of publications. Lines connecting authors denote co-authorship links, and authors close to each other on the map have frequently co-authored papers. Different colors represent clusters of authors with strong co-authorship connections. Of the 21,934 authors with 11 or more publications, 107 met the threshold and were divided into 11 clusters (<xref ref-type="fig" rid="F8">Figure 8</xref>).</p><table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Leading authors in tobacco research in India (2003&#x02013;2024).</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#727779;color:#ffffff">
<th valign="top" align="left"><bold>Author name</bold></th>
<th valign="top" align="left"><bold>Country</bold></th>
<th valign="top" align="center"><bold>Documents</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gupta, P.C.</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">140</td>
</tr> <tr>
<td valign="top" align="left">Sinha, D.N.</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">114</td>
</tr> <tr>
<td valign="top" align="left">Arora, M.</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">97</td>
</tr> <tr>
<td valign="top" align="left">Mehrotra, R.</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="center">74</td>
</tr> <tr>
<td valign="top" align="left">Goel, S.</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">69</td>
</tr> <tr>
<td valign="top" align="left">Gupta, R.</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">67</td>
</tr> <tr>
<td valign="top" align="left">Pednekar, M.S.</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">65</td>
</tr> <tr>
<td valign="top" align="left">Prabhakaran, D.</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">62</td>
</tr> <tr>
<td valign="top" align="left">Reddy, K.S.</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">56</td>
</tr> <tr>
<td valign="top" align="left">Chaturvedi, P.</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">53</td>
</tr> <tr>
<td valign="top" align="left" colspan="2">Total</td>
<td valign="top" align="center">797</td>
</tr></tbody>
</table>
</table-wrap>
<fig id="F8" position="float">
<label>Figure 8</label>
<caption><p>Network visualization map showing co-authorship relationships among the most prolific authors in Indian tobacco research.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frma-10-1496571-g0008.tif"/>
</fig>
</sec>
<sec>
<title>Journal analysis</title>
<p>A total of 1,796 academic journals have published research articles on tobacco. Of these, the 10 most active journals accounted for 1,117 out of 8,346 papers, contributing 62.19% of the total publications (<xref ref-type="table" rid="T4">Table 4</xref>). The <italic>Asian Pacific Journal of Cancer Prevention</italic> led with 246 articles, followed by <italic>PLoS ONE</italic> (132), the Indian Journal of Public Health Research and Development (118), and the <italic>Journal of Clinical and Diagnostic Research</italic> (114). Other significant contributors were <italic>Indian Journal of Cancer</italic> (98), <italic>Indian Journal of Community Medicine</italic> (93), <italic>Journal of Cancer Research and Therapeutics</italic> (83), <italic>Indian Journal of Public Health</italic> (79), <italic>Indian Journal of Medical Research</italic> (78), and <italic>Indian Journal of Psychiatry</italic> (76) (<xref ref-type="table" rid="T3">Table 3</xref>). The <italic>Indian Journal of Public Health Research and Development</italic> has been publishing on tobacco since before 2003, with a peak in 2012. The <italic>Asian Pacific Journal of Cancer Prevention</italic>, which began in 2004, was the leading publisher on this topic until 2011, after which it lost its dominance. Between 2011 and 2018, the <italic>Journal of Clinical and Diagnostic Research</italic> and the <italic>Indian Journal of Public Health Research and Development</italic> became the top publishers in the field (<xref ref-type="fig" rid="F9">Figure 9</xref>).</p><table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Top journals publishing tobacco research in India (2003&#x02013;2024).</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#727779;color:#ffffff">
<th valign="top" align="left"><bold>Source title</bold></th>
<th valign="top" align="center"><bold>IF</bold></th>
<th valign="top" align="left"><bold>Country</bold></th>
<th valign="top" align="center"><bold>Documents</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Asian Pacific Journal of Cancer Prevention</td>
<td valign="top" align="center">91</td>
<td valign="top" align="left">Thailand</td>
<td valign="top" align="center">246</td>
</tr> <tr>
<td valign="top" align="left">PLoS ONE</td>
<td valign="top" align="center">435</td>
<td valign="top" align="left">United States</td>
<td valign="top" align="center">132</td>
</tr> <tr>
<td valign="top" align="left">Indian Journal of Public Health Research and Development</td>
<td valign="top" align="center">23</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">118</td>
</tr> <tr>
<td valign="top" align="left">Journal of Clinical and Diagnostic Research</td>
<td valign="top" align="center">72</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">114</td>
</tr> <tr>
<td valign="top" align="left">Indian Journal of Cancer</td>
<td valign="top" align="center">44</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">98</td>
</tr> <tr>
<td valign="top" align="left">Indian Journal of Community Medicine</td>
<td valign="top" align="center">43</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">93</td>
</tr> <tr>
<td valign="top" align="left">Journal of Cancer Research and Therapeutics</td>
<td valign="top" align="center">51</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">83</td>
</tr> <tr>
<td valign="top" align="left">Indian Journal of Public Health</td>
<td valign="top" align="center">35</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">79</td>
</tr> <tr>
<td valign="top" align="left">Indian Journal of Medical Research</td>
<td valign="top" align="center">104</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">78</td>
</tr> <tr>
<td valign="top" align="left">Indian Journal of Psychiatry</td>
<td valign="top" align="center">53</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">76</td>
</tr> <tr>
<td valign="top" align="left" colspan="3">Total</td>
<td valign="top" align="center">1,117</td>
</tr></tbody>
</table>
</table-wrap><fig id="F9" position="float">
<label>Figure 9</label>
<caption><p>Annual distribution of publications by leading journals.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frma-10-1496571-g0009.tif"/>
</fig>
</sec>
<sec>
<title>Active funding agencies</title>
<p>Of the 8,346 articles reviewed, 1,940 were funded by the top 10 organizations. The Council of Scientific and Industrial Research (CSIR), India, was the largest contributor, backing 301 tobacco-related studies. Other major Indian funders included the Department of Biotechnology (<italic>n</italic> = 299), the Department of Science and Technology (<italic>n</italic> = 263), the University Grants Commission (<italic>n</italic> = 247), the Indian Council of Medical Research (<italic>n</italic> = 43), and the Science and Engineering Research Board (<italic>n</italic> = 89). Internationally, the National Institutes of Health (<italic>n</italic> = 174) and the U.S. Department of Health and Human Services (<italic>n</italic> = 111) were prominent contributors, along with the Bangladesh Council of Scientific and Industrial Research (<italic>n</italic> = 96). Seven of the top 10 funders were from India, with two from the USA and one from Bangladesh (<xref ref-type="table" rid="T5">Table 5</xref>).</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>Top funding bodies supporting tobacco research in India (2003&#x02013;2024).</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#727779;color:#ffffff">
<th valign="top" align="left"><bold>Top funding agency</bold></th>
<th valign="top" align="left"><bold>Country</bold></th>
<th valign="top" align="center"><bold>Documents</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Council of Scientific and Industrial Research</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">301</td>
</tr> <tr>
<td valign="top" align="left">Department of Biotechnology, Ministry of Science and Technology</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">299</td>
</tr> <tr>
<td valign="top" align="left">Department of Science and Technology, Ministry of Science and Technology</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">263</td>
</tr> <tr>
<td valign="top" align="left">Indian Council of Medical Research</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">255</td>
</tr> <tr>
<td valign="top" align="left">University Grants Commission</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">247</td>
</tr> <tr>
<td valign="top" align="left">National Institutes of Health</td>
<td valign="top" align="left">The United States</td>
<td valign="top" align="center">174</td>
</tr> <tr>
<td valign="top" align="left">U.S. Department of Health and Human Services</td>
<td valign="top" align="left">The United States</td>
<td valign="top" align="center">111</td>
</tr> <tr>
<td valign="top" align="left">Department of Biotechnology, Government of West Bengal</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">105</td>
</tr> <tr>
<td valign="top" align="left">Bangladesh Council of Scientific and Industrial Research</td>
<td valign="top" align="left">Bangladesh</td>
<td valign="top" align="center">96</td>
</tr> <tr>
<td valign="top" align="left">Science and Engineering Research Board</td>
<td valign="top" align="left">India</td>
<td valign="top" align="center">89</td>
</tr> <tr>
<td valign="top" align="left" colspan="2">Total</td>
<td valign="top" align="center">1,940</td>
</tr></tbody>
</table>
</table-wrap></sec></sec>
<sec>
<title>Analysis of intellectual knowledge structure</title>
<sec>
<title>Analysis of co-cited journals</title>
<p><xref ref-type="table" rid="T6">Table 6</xref> presents the 10 journals with the highest citation counts. A journal&#x00027;s impact within its field is reflected by the frequency of its co-citations, serving as an indicator of its importance. Remarkably, two of the journals listed in <xref ref-type="table" rid="T5">Table 5</xref> have been cited more than 2,000 times. <xref ref-type="fig" rid="F10">Figure 10</xref> illustrates that the three most frequently co-cited journals are <italic>PLoS ONE</italic> (Q1, H-index: 435), <italic>The Lancet</italic> (Q1, H-index: 895), and <italic>Oral Oncology</italic> (Q1, H-index: 137).</p>
<table-wrap position="float" id="T6">
<label>Table 6</label>
<caption><p>Top 10 co-cited journals in tobacco research (2003&#x02013;2024).</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#727779;color:#ffffff">
<th valign="top" align="left"><bold>Source</bold></th>
<th valign="top" align="left"><bold>Citations</bold></th>
<th valign="top" align="left"><bold>Total link strength</bold></th>
<th valign="top" align="left"><bold>Quartile</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">PLoS ONE</td>
<td valign="top" align="left">3,408</td>
<td valign="top" align="left">35,611</td>
<td valign="top" align="left">Q1</td>
</tr> <tr>
<td valign="top" align="left">The Lancet</td>
<td valign="top" align="left">2,050</td>
<td valign="top" align="left">21,339</td>
<td valign="top" align="left">Q1</td>
</tr> <tr>
<td valign="top" align="left">Oral Oncology</td>
<td valign="top" align="left">1,332</td>
<td valign="top" align="left">18,144</td>
<td valign="top" align="left">Q1</td>
</tr> <tr>
<td valign="top" align="left">Tobacco Control</td>
<td valign="top" align="left">1,311</td>
<td valign="top" align="left">12,372</td>
<td valign="top" align="left">Q1</td>
</tr> <tr>
<td valign="top" align="left">Asian Pacific Journal of Cancer Prevention</td>
<td valign="top" align="left">1,274</td>
<td valign="top" align="left">13,830</td>
<td valign="top" align="left">Q3</td>
</tr> <tr>
<td valign="top" align="left">Plant Physiology</td>
<td valign="top" align="left">1,066</td>
<td valign="top" align="left">16,620</td>
<td valign="top" align="left">Q1</td>
</tr> <tr>
<td valign="top" align="left">Plant Cell Reports</td>
<td valign="top" align="left">1,039</td>
<td valign="top" align="left">17,566</td>
<td valign="top" align="left">Q1</td>
</tr> <tr>
<td valign="top" align="left">International Journal Of Cancer</td>
<td valign="top" align="left">992</td>
<td valign="top" align="left">16,718</td>
<td valign="top" align="left">Q1</td>
</tr> <tr>
<td valign="top" align="left">BMC Public Health</td>
<td valign="top" align="left">981</td>
<td valign="top" align="left">9,100</td>
<td valign="top" align="left">Q1</td>
</tr> <tr>
<td valign="top" align="left">The New England Journal Of Medicine</td>
<td valign="top" align="left">960</td>
<td valign="top" align="left">13,417</td>
<td valign="top" align="left">-</td>
</tr> <tr>
<td valign="top" align="left">Nature</td>
<td valign="top" align="left">958</td>
<td valign="top" align="left">12,550</td>
<td valign="top" align="left">Q1</td>
</tr></tbody>
</table>
</table-wrap><fig id="F10" position="float">
<label>Figure 10</label>
<caption><p>Network visualization of co-cited journals.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frma-10-1496571-g0010.tif"/>
</fig>
</sec>
<sec>
<title>Analysis of co-cited authors</title>
<p>The co-cited authors in the literature are visualized in <xref ref-type="fig" rid="F11">Figure 11</xref> using VOS viewer. Co-citation relationships reflect the connection between authors whose works are jointly referenced in other articles. The size of each node in the graph represents the number of citations an author has received, with larger nodes corresponding to higher citation counts and greater influence. Gupta PC leads with 1,593 co-citations, followed by Wang Y, Kumar S, and Zhang Y, with 885, 796, and 732 co-citations, respectively (<xref ref-type="table" rid="T7">Table 7</xref>). The top 10 co-cited authors amassed over 7,995 co-citations, underscoring their significant impact on tobacco research.</p>
<fig id="F11" position="float">
<label>Figure 11</label>
<caption><p>Network visualization of co-cited authors in tobacco research (2003&#x02013;2024).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frma-10-1496571-g0011.tif"/>
</fig><table-wrap position="float" id="T7">
<label>Table 7</label>
<caption><p>Most frequently co-cited authors in Indian tobacco research (2003&#x02013;2024).</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#727779;color:#ffffff">
<th valign="top" align="left"><bold>Sl. No</bold></th>
<th valign="top" align="center"><bold>Author</bold></th>
<th valign="top" align="center"><bold>Co-citations</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1.</td>
<td valign="top" align="center">Gupta, P.C.</td>
<td valign="top" align="center">1,593</td>
</tr> <tr>
<td valign="top" align="left">2.</td>
<td valign="top" align="center">Wang Y.</td>
<td valign="top" align="center">885</td>
</tr> <tr>
<td valign="top" align="left">3.</td>
<td valign="top" align="center">Kumar S.</td>
<td valign="top" align="center">796</td>
</tr> <tr>
<td valign="top" align="left">4.</td>
<td valign="top" align="center">Zang Y.</td>
<td valign="top" align="center">732</td>
</tr> <tr>
<td valign="top" align="left">5.</td>
<td valign="top" align="center">Li Y</td>
<td valign="top" align="center">701</td>
</tr> <tr>
<td valign="top" align="left">6.</td>
<td valign="top" align="center">Liu Y.</td>
<td valign="top" align="center">690</td>
</tr> <tr>
<td valign="top" align="left">7.</td>
<td valign="top" align="center">Sinha D.N</td>
<td valign="top" align="center">675</td>
</tr> <tr>
<td valign="top" align="left">8.</td>
<td valign="top" align="center">Gupta R.</td>
<td valign="top" align="center">674</td>
</tr> <tr>
<td valign="top" align="left">9.</td>
<td valign="top" align="center">Kumar A.</td>
<td valign="top" align="center">643</td>
</tr> <tr>
<td valign="top" align="left">10.</td>
<td valign="top" align="center">Wang X.</td>
<td valign="top" align="center">606</td>
</tr> <tr>
<td valign="top" align="left" colspan="2">Total co citations</td>
<td valign="top" align="center">7,995</td>
</tr></tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Analysis of co-cited references</title>
<p>Co-citation analysis identifies references that are frequently cited together by other works, serving as a widely used method for investigating research trends in a specific academic discipline. The co-citation network is illustrated in <xref ref-type="fig" rid="F12">Figure 12</xref>, while <xref ref-type="table" rid="T8">Table 8</xref> presents the top 10 most-cited articles. Our analysis reveals that these 10 articles primarily focus on three main research themes. (1) tobacco control, (2) tobacco and cancer, (3) prevalence and predictors of tobacco.</p>
<fig id="F12" position="float">
<label>Figure 12</label>
<caption><p>The network visualization map of co-cited references.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frma-10-1496571-g0012.tif"/>
</fig><table-wrap position="float" id="T8">
<label>Table 8</label>
<caption><p>Network visualization of the top 10 most frequently co-cited references in Indian tobacco research (2003&#x02013;2024).</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#727779;color:#ffffff">
<th valign="top" align="left"><bold>Sl. No</bold></th>
<th valign="top" align="left"><bold>Cited article</bold></th>
<th valign="top" align="center"><bold>Citations</bold></th>
<th valign="top" align="center"><bold>Total link strength</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">1.</td>
<td valign="top" align="left">WHO Framework Convention on Tobacco Control (WHO FCTC; Myers et al., <xref ref-type="bibr" rid="B17">2023</xref>)</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">16</td>
</tr> <tr>
<td valign="top" align="left">2.</td>
<td valign="top" align="left">National epidemiology of oral and oropharyngeal cancer (Warnakulasuriya, <xref ref-type="bibr" rid="B31">2009</xref>)</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">13</td>
</tr> <tr>
<td valign="top" align="left">3.</td>
<td valign="top" align="left">Report on Tobacco Control in India (Chengappa et al., <xref ref-type="bibr" rid="B2">2024</xref>)</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">23</td>
</tr> <tr>
<td valign="top" align="left">4.</td>
<td valign="top" align="left">Smokeless tobacco and health in India and South Asia (Gupta and Ray, <xref ref-type="bibr" rid="B4">2003</xref>)</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">33</td>
</tr> <tr>
<td valign="top" align="left">5.</td>
<td valign="top" align="left">Tobacco use in India: prevalence and predictors of smoking and chewing in a national cross sectional household survey (Rani et al., <xref ref-type="bibr" rid="B24">2003</xref>)</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center">16</td>
</tr> <tr>
<td valign="top" align="left">6.</td>
<td valign="top" align="left">A Simple and General Method for Transferring Genes into Plants (Horsch et al., <xref ref-type="bibr" rid="B6">1985</xref>)</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">10</td>
</tr> <tr>
<td valign="top" align="left">7.</td>
<td valign="top" align="left">A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding (MM, <xref ref-type="bibr" rid="B16">1976</xref>)</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">6</td>
</tr> <tr>
<td valign="top" align="left">8.</td>
<td valign="top" align="left">WHO report on the national tobacco epidemic, 2008: the MPOWER package (Zhang et al., <xref ref-type="bibr" rid="B33">2022</xref>)</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">15</td>
</tr> <tr>
<td valign="top" align="left">9.</td>
<td valign="top" align="left">Alert for an epidemic of oral cancer due to use of the betel quid substitutes gutkha and pan masala: a review of agents and causative mechanisms (Nair et al., <xref ref-type="bibr" rid="B18">2004</xref>)</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">13</td>
</tr> <tr>
<td valign="top" align="left">10.</td>
<td valign="top" align="left">The Use of DNA Extraction for Molecular Biology and Biotechnology Training: A Practical and Alternative Approach (L&#x000E1;zaro-Silva et al., <xref ref-type="bibr" rid="B12">2015</xref>)</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">6</td>
</tr></tbody>
</table>
</table-wrap></sec></sec><sec>
<title>Conceptual knowledge structure analysis</title>
<sec>
<title>Analysis of keyword co-occurrence</title>
<p>Keywords are the core vocabulary of a paper, which succinctly summarize the main content and are also frequently used throughout the article. We extracted 51 out of 12,606 keywords with a frequency of 37 or more for co-occurrence analysis in Vos viewer to explore trends and hotspots in the field of research (<xref ref-type="fig" rid="F13">Figure 13</xref>). The visual representations classify keywords into four clusters, as shown in <xref ref-type="table" rid="T9">Table 9</xref>. <xref ref-type="table" rid="T10">Table 10</xref> highlights the progressive increase in the annual occurrence of the author&#x00027;s keywords related to tobacco research. It indicates the trending or popular research topics in the field, growing interest or emerging trends in that topic. This table also highlights the shifts in research focus.</p>
<fig id="F13" position="float">
<label>Figure 13</label>
<caption><p>Network visualization map of author keywords co-occurrence in tobacco research publications from India (2003&#x02013;2024).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frma-10-1496571-g0013.tif"/>
</fig><table-wrap position="float" id="T9">
<label>Table 9</label>
<caption><p>Details of keywords in different clusters of network co-occurrence of authors&#x00027; keywords.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#727779;color:#ffffff">
<th valign="top" align="left"><bold><inline-formula><mml:math id="M1"><mml:mrow><mml:mstyle mathcolor="#ff0000"><mml:mtext>Cluster 1 (14 items) red color</mml:mtext></mml:mstyle></mml:mrow></mml:math></inline-formula></bold></th>
<th valign="top" align="left"><bold><inline-formula><mml:math id="M2"><mml:mrow><mml:mstyle mathcolor="#20f921"><mml:mtext>Cluster 2 (12 items) green color</mml:mtext></mml:mstyle></mml:mrow></mml:math></inline-formula></bold></th>
<th valign="top" align="left"><bold><inline-formula><mml:math id="M3"><mml:mrow><mml:mstyle mathcolor="#3a3ded"><mml:mtext>Cluster 3 (9 items) blue color</mml:mtext></mml:mstyle></mml:mrow></mml:math></inline-formula></bold></th>
<th valign="top" align="left"><bold><inline-formula><mml:math id="M4"><mml:mrow><mml:mstyle mathcolor="#ffff00"><mml:mtext>Cluster 4 (8 items) yellow colored</mml:mtext></mml:mstyle></mml:mrow></mml:math></inline-formula></bold></th>
<th valign="top" align="left"><bold><inline-formula><mml:math id="M5"><mml:mrow><mml:mstyle mathcolor="#bf0040"><mml:mtext>Cluster 5 (8 items) purple colored</mml:mtext></mml:mstyle></mml:mrow></mml:math></inline-formula></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Abiotic stress</td>
<td valign="top" align="left">Addiction</td>
<td valign="top" align="left">Awareness</td>
<td valign="top" align="left">Areca nut</td>
<td valign="top" align="left">Lung cancer</td>
</tr> <tr>
<td valign="top" align="left">Adolescent</td>
<td valign="top" align="left">Adolescents</td>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="left">Head and neck cancer</td>
<td valign="top" align="left">Mortality</td>
</tr> <tr>
<td valign="top" align="left">Cancer</td>
<td valign="top" align="left">Alcohol</td>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="left">Leucoplakia</td>
<td valign="top" align="left">Smoking cessation</td>
</tr> <tr>
<td valign="top" align="left">Depression</td>
<td valign="top" align="left">Cessation</td>
<td valign="top" align="left">Knowledge</td>
<td valign="top" align="left">Oral cancer</td>
<td valign="top" align="left">Spodoptera literature</td>
</tr> <tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="left">COVID-19</td>
<td valign="top" align="left">Non-communicable disease</td>
<td valign="top" align="left">Oral squamous cell ca</td>
<td valign="top" align="left">Tobacco cessation</td>
</tr> <tr>
<td valign="top" align="left">Nicotine</td>
<td valign="top" align="left">Epidemiology</td>
<td valign="top" align="left">Obesity</td>
<td valign="top" align="left">Oral submucous fibrosis</td>
<td valign="top" align="left">Tobacco smoking</td>
</tr> <tr>
<td valign="top" align="left">Oral health</td>
<td valign="top" align="left">India</td>
<td valign="top" align="left">Prevalence</td>
<td valign="top" align="left">Smokeless tobacco</td>
<td valign="top" align="left">Tobacco use</td>
</tr> <tr>
<td valign="top" align="left">Oxidative stress</td>
<td valign="top" align="left">Prevention</td>
<td valign="top" align="left">Risk factors</td>
<td valign="top" align="left">Squamous cell carcinoma</td>
<td valign="top" align="left">Tuberculosis</td>
</tr>
 <tr>
<td valign="top" align="left">Periodontitis</td>
<td valign="top" align="left">Public health</td>
<td valign="top" align="left" rowspan="6">Screening</td>
</tr>
 <tr>
<td valign="top" align="left">Quality of life</td>
<td valign="top" align="left">Substance use</td>
</tr>
 <tr>
<td valign="top" align="left">Saliva</td>
<td valign="top" align="left">Tobacco control</td>
</tr>
 <tr>
<td valign="top" align="left">Smokers</td>
<td valign="top" align="left" rowspan="3">Women</td>
</tr>
 <tr>
<td valign="top" align="left">Smoking</td>
</tr>
 <tr>
<td valign="top" align="left">Tobacco</td>
</tr></tbody>
</table>
</table-wrap><table-wrap position="float" id="T10">
<label>Table 10</label>
<caption><p>Word frequency over time in the field of tobacco research.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#727779;color:#ffffff">
<th valign="top" align="left"><bold>Keyword</bold></th>
<th valign="top" align="center"><bold>Occurrences</bold></th>
<th valign="top" align="center"><bold>Total link strength</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Tobacco</td>
<td valign="top" align="center">727</td>
<td valign="top" align="center">824</td>
</tr> <tr>
<td valign="top" align="left">India</td>
<td valign="top" align="center">453</td>
<td valign="top" align="center">558</td>
</tr> <tr>
<td valign="top" align="left">Oral cancer</td>
<td valign="top" align="center">319</td>
<td valign="top" align="left">312</td>
</tr> <tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="center">299</td>
<td valign="top" align="left">446</td>
</tr> <tr>
<td valign="top" align="left">Smokeless tobacco</td>
<td valign="top" align="center">239</td>
<td valign="top" align="center">265</td>
</tr> <tr>
<td valign="top" align="left">Risk factors</td>
<td valign="top" align="center">182</td>
<td valign="top" align="center">224</td>
</tr> <tr>
<td valign="top" align="left">Prevalence</td>
<td valign="top" align="center">159</td>
<td valign="top" align="center">209</td>
</tr> <tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">133</td>
<td valign="top" align="center">179</td>
</tr> <tr>
<td valign="top" align="left">Oral squamous cell carcinoma</td>
<td valign="top" align="center">122</td>
<td valign="top" align="center">80</td>
</tr> <tr>
<td valign="top" align="left">Epidemiology</td>
<td valign="top" align="center">112</td>
<td valign="top" align="center">80</td>
</tr> <tr>
<td valign="top" align="left">Alcohol</td>
<td valign="top" align="center">107</td>
<td valign="top" align="center">198</td>
</tr></tbody>
</table>
</table-wrap></sec>
<sec>
<title>Trending topics</title>
<p>Since 2014, &#x0007E;30 topics have shown notable increases in frequency. <xref ref-type="fig" rid="F14">Figure 14</xref> illustrates the occurrence trends, highlighting keywords such as &#x0201C;machine learning,&#x0201D; &#x0201C;nanoparticles,&#x0201D; &#x0201C;drug delivery,&#x0201D; &#x0201C;COVID-19,&#x0201D; &#x0201C;mental health,&#x0201D; &#x0201C;oral cancer,&#x0201D; and &#x0201C;smoking&#x0201D; as gaining prominence in recent years. This suggests that these research areas are currently receiving considerable attention and may reflect emerging trends in tobacco research.</p>
<fig id="F14" position="float">
<label>Figure 14</label>
<caption><p>Trending topics in the tobacco research publications from India (2003&#x02013;2024).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="frma-10-1496571-g0014.tif"/>
</fig></sec></sec></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This comprehensive bibliometric analysis reveals not only the expansion of national tobacco research over the past two decades but also several critical inflection points and persistent gaps.</p>
<p>Similar surges in tobacco research output have been reported in other low- and middle-income countries following FCTC ratification, suggesting a globally shared impetus toward tobacco control scholarship (Warner, <xref ref-type="bibr" rid="B32">2005</xref>; Berg et al., <xref ref-type="bibr" rid="B1">2018</xref>). The overwhelming dominance of medical and biomedical research (e.g., medicine, biochemistry, genetics) confirms earlier findings that tobacco-related morbidity remains the central concern driving publication trends (John, <xref ref-type="bibr" rid="B8">2005</xref>; Pahari et al., <xref ref-type="bibr" rid="B21">2023</xref>). However, the underrepresentation of social sciences, behavioral studies, and environmental research mirrors existing literature noting a fragmented understanding of the socio-cultural contexts of tobacco use (Claire et al., <xref ref-type="bibr" rid="B3">2020</xref>; Parascandola et al., <xref ref-type="bibr" rid="B22">2022</xref>). This suggests an ongoing disciplinary silencing of the &#x0201C;lived experience&#x0201D; of tobacco users, especially in rural or marginalized populations. An important gap observed in the analysis is the lack of explicit focus on smokeless tobacco, which constitutes a significant portion of tobacco use in India (Pahari et al., <xref ref-type="bibr" rid="B21">2023</xref>). While some publications may have jointly addressed smoking and smokeless forms, this distinction is rarely made clear in bibliometric summaries or keyword analyses (Lahoti and Dixit, <xref ref-type="bibr" rid="B11">2021</xref>). Given the high burden of disease from smokeless tobacco in India, particularly oral cancers and submucous fibrosis, future research efforts should disaggregate these categories to ensure more targeted prevention strategies (Gupta and Ray, <xref ref-type="bibr" rid="B4">2003</xref>; Nair et al., <xref ref-type="bibr" rid="B18">2004</xref>). Additionally, this study directly responds to longstanding gaps in tobacco control scholarship by illuminating the underrepresentation of research on the long-term health impacts of novel nicotine products and the socio-cultural dimensions of tobacco use in LMICs. Our analysis reveals that, while biomedical and clinical research dominates the field, studies examining the chronic effects of e-cigarettes and heated tobacco products are notably scarce. This is concerning given their rising popularity and ambiguous public health implications. Additionally, socio-behavioral research&#x02014;particularly that which explores gender, caste, rurality, and poverty as drivers of tobacco initiation and persistence&#x02014;remains peripheral in India&#x00027;s research ecosystem. By exposing these deficits, this study advocates for a broader epistemological shift that integrates cultural anthropology, behavioral science, and qualitative methodologies into mainstream tobacco research. Such an interdisciplinary pivot is essential not only for developing context-specific interventions but also for dismantling structural inequities in research agendas and funding allocations, especially in countries most vulnerable to the tobacco epidemic. Our analysis revealed limited representation of research on second-hand smoke exposure, environmental consequences of tobacco farming, and occupational exposure&#x02014;all areas flagged by international experts as underexplored yet high-priority domains (Puljevi&#x00107; et al., <xref ref-type="bibr" rid="B23">2022</xref>). For example, Claire et al. (<xref ref-type="bibr" rid="B3">2020</xref>) have emphasized the urgent need to examine the broader ecological impacts of tobacco agriculture and waste (Claire et al., <xref ref-type="bibr" rid="B3">2020</xref>). The observed institutional dominance of Indian organizations, particularly AIIMS and the Public Health Foundation of India, reflects India&#x00027;s high burden of tobacco-related disease, but also underscores the limited international collaboration visible in our co-authorship networks. This is consistent with previous critiques of South Asian tobacco research as &#x0201C;nationally siloed,&#x0201D; hindering cross-border learning (Berg et al., <xref ref-type="bibr" rid="B1">2018</xref>; Meissner et al., <xref ref-type="bibr" rid="B14">2022</xref>). While intra-national collaborations are strong, especially among urban academic centers, there is a pressing need to extend these networks to international and rural research institutions to support a more equitable and diverse research ecosystem (Lindson et al., <xref ref-type="bibr" rid="B13">2017</xref>). Although the majority of funding stems from national organizations such as CSIR and ICMR, our study also detected contributions from international agencies like the National Institutes of Health (NIH) and the U.S. Department of Health and Human Services. However, detailed analysis of how these funds were allocated&#x02014;whether directly to Indian institutions or through collaborative projects remains limited in bibliometric databases. This gap warrants further manual tracing through funding acknowledgments in primary articles to better understand global financial engagement in India&#x00027;s tobacco research landscape (Meissner et al., <xref ref-type="bibr" rid="B14">2022</xref>). The prominent authors identified, such as Dr. Prakash C. Gupta and Dr. Dhirendra Sinha, have not only contributed prolifically but have also shaped the field&#x00027;s foundational literature, particularly in epidemiological surveillance and tobacco control program evaluation (Gupta and Ray, <xref ref-type="bibr" rid="B4">2003</xref>; Rani et al., <xref ref-type="bibr" rid="B24">2003</xref>). It is also evident that tobacco research in the reviewed literature is predominantly conducted by male authors, suggesting a gendered dimension in the production of knowledge within this field. This male-dominated authorship may influence the research priorities and perspectives represented in the literature, potentially overlooking gender-specific nuances in tobacco use and control. Additionally, the result highlights a clear preference for quantitative methodologies, with comparatively limited engagement with qualitative approaches. This methodological imbalance may constrain a deeper understanding of the social, cultural, and behavioral contexts of tobacco use, which are often better captured through qualitative inquiry. These observations warrant inclusion in the discussion section to underscore existing gaps and advocate for more inclusive and methodologically diverse research practices. Yet, the geographic clustering of these authors in urban India and the USA also reflects persistent regional disparities in research leadership and funding access, an issue echoed in previous bibliometric assessments of tobacco research in Asia (Ribisl, <xref ref-type="bibr" rid="B25">2012</xref>; Shaikh et al., <xref ref-type="bibr" rid="B28">2022</xref>). Journal analysis confirms the growing contribution of Indian public health journals, although publication in high-impact global journals remains limited. This may reflect not only language and resource barriers but also misalignment between international publication priorities and national health needs (KA et al., <xref ref-type="bibr" rid="B10">1996</xref>). Efforts to enhance manuscript writing training and institutional support for early-career researchers could help bridge this gap. Co-citation and keyword analyses illuminate a recent methodological shift in the field. The integration of machine learning, nanotechnology, and interest in COVID-19-related respiratory impacts (Huang et al., <xref ref-type="bibr" rid="B7">2024</xref>). The role of tobacco use in exacerbating COVID-19 outcomes has been explored in emerging research, which indicates that smokers and users of smokeless tobacco products may experience more severe pulmonary complications during viral infections (Claire et al., <xref ref-type="bibr" rid="B3">2020</xref>). Additionally, COVID-19 heightened public and research awareness about lung health and vulnerability, further catalyzing investigations into the immunological and physiological overlap between tobacco-induced damage and viral pathogenesis. However, such findings are still in their early stages and demand more rigorous epidemiological validation. This study stands out for its novel integration of bibliometric analytics with public health priorities, offering a panoramic view of tobacco research in India from 2003 to 2024. Unlike prior research that has typically focused on isolated health outcomes or tobacco prevalence, this study distinguishes itself by mapping publication trends, institutional collaborations, keyword trajectories, and funding patterns&#x02014;while also critically identifying neglected areas such as the long-term health effects of emerging nicotine products and the socio-cultural drivers of tobacco use. The potential audience includes public health researchers, policymakers, funding agencies, and global health organizations seeking to understand the evolution and direction of national tobacco control efforts. The added value lies in its ability to inform research prioritization and policy design by highlighting underrepresented themes like smokeless tobacco, rural health disparities, and gendered consumption patterns. Policy implications are profound: the study provides an empirical foundation for more equitable funding allocations, fosters interdisciplinary collaboration, and supports the development of context-specific tobacco control strategies that go beyond biomedical paradigms to address behavioral, environmental, and cultural determinants of use. This makes the study not only a methodological contribution to bibliometric science but also a strategic tool for shaping future public health interventions and policy frameworks. In summary, while the volume and visibility of tobacco research in India have grown considerably, the field remains medically dominated, urban-centric, and under-integrated with behavioral, environmental, and international research. Bridging these disciplinary and geographic gaps will require both structural investment and intentional collaboration strategies (Hicks et al., <xref ref-type="bibr" rid="B5">2019</xref>; Claire et al., <xref ref-type="bibr" rid="B3">2020</xref>; Puljevi&#x00107; et al., <xref ref-type="bibr" rid="B23">2022</xref>). In conclusion, the study reveals that tobacco research in India has expanded significantly over the past two decades, primarily driven by public health priorities and evolving nicotine product landscapes. There has been substantial output in medical and biomedical domains, reflecting concerns around tobacco-induced morbidity and mortality.</p>
<p>However, several critical research gaps remain.</p>
<p>These include:</p>
<list list-type="order">
<list-item><p>Insufficient disaggregation between smoking and smokeless tobacco in empirical analyses,</p></list-item>
<list-item><p>Underrepresentation of environmental and socio-behavioral dimensions of tobacco use,</p></list-item>
<list-item><p>Limited studies on second-hand smoke exposure and occupational hazards related to tobacco cultivation, and</p></list-item>
<list-item><p>Inadequate exploration of international funding streams and collaborations in published work.</p></list-item>
</list>
<p>Furthermore, the effects of tobacco use on COVID-19 outcomes require deeper investigation, particularly regarding respiratory comorbidities and differential risks among tobacco users.</p>
<p>Addressing these gaps requires a broader interdisciplinary approach, enhanced international partnerships, and targeted funding mechanisms that prioritize equity and underserved research areas.</p></sec>
<sec id="s5">
<title>Limitations</title>
<p>There are several limitations to note in this study. Firstly, we only utilized SCOPUS as our database, which may have led to the omission of relevant papers from other databases. Secondly, there is a possibility that significant non-English papers were overlooked, resulting in research bias and a reduction in credibility. Finally, due to the constant database updates, recently published high-quality articles may have been underestimated because of their inadequate citations.</p></sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>AS: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. AK: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. SV: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. SB: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s9">
<title>Generative AI statement</title>
<p>The authors declare that Gen AI was used in the creation of this manuscript. The authors used generative AI for grammar correction and language refinement during manuscript preparation.</p></sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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