Vidya Purushothaman

787 total citations
28 papers, 470 citations indexed

About

Vidya Purushothaman is a scholar working on Physiology, Epidemiology and Sociology and Political Science. According to data from OpenAlex, Vidya Purushothaman has authored 28 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 10 papers in Epidemiology and 6 papers in Sociology and Political Science. Recurrent topics in Vidya Purushothaman's work include Smoking Behavior and Cessation (13 papers), Data-Driven Disease Surveillance (7 papers) and Misinformation and Its Impacts (5 papers). Vidya Purushothaman is often cited by papers focused on Smoking Behavior and Cessation (13 papers), Data-Driven Disease Surveillance (7 papers) and Misinformation and Its Impacts (5 papers). Vidya Purushothaman collaborates with scholars based in United States and Germany. Vidya Purushothaman's co-authors include Tim K. Mackey, Jiawei Li, Raphael Cuomo, Matthew Nali, Qing Xu, Mingxiang Cai, Neal Shah, Bryan A. Liang, Zhuoran Li and Eric C. Leas and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and BMC Public Health.

In The Last Decade

Vidya Purushothaman

25 papers receiving 463 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vidya Purushothaman United States 10 233 123 104 70 59 28 470
Matthew Nali United States 9 182 0.8× 86 0.7× 88 0.8× 50 0.7× 30 0.5× 26 357
Neal Shah United States 12 149 0.6× 108 0.9× 85 0.8× 53 0.8× 36 0.6× 20 507
Christina Mancheno United States 6 231 1.0× 98 0.8× 108 1.0× 241 3.4× 21 0.4× 10 608
Lyle Ungar United States 2 207 0.9× 83 0.7× 86 0.8× 187 2.7× 17 0.3× 4 478
Mohammad Ariful Islam Bangladesh 6 448 1.9× 54 0.4× 126 1.2× 201 2.9× 60 1.0× 17 714
Nina Cesare United States 11 200 0.9× 61 0.5× 63 0.6× 59 0.8× 25 0.4× 28 479
Joanne Chen Lyu United States 7 251 1.1× 51 0.4× 106 1.0× 135 1.9× 20 0.3× 23 424
Olufunto A. Olusanya United States 8 166 0.7× 116 0.9× 69 0.7× 211 3.0× 30 0.5× 18 442
Yunam Cuan-Baltazar Mexico 2 240 1.0× 35 0.3× 51 0.5× 111 1.6× 43 0.7× 4 421
Evangelos Moustakas United States 8 281 1.2× 26 0.2× 106 1.0× 59 0.8× 11 0.2× 18 585

Countries citing papers authored by Vidya Purushothaman

Since Specialization
Citations

This map shows the geographic impact of Vidya Purushothaman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Vidya Purushothaman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vidya Purushothaman more than expected).

Fields of papers citing papers by Vidya Purushothaman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vidya Purushothaman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Vidya Purushothaman. The network helps show where Vidya Purushothaman may publish in the future.

Co-authorship network of co-authors of Vidya Purushothaman

This figure shows the co-authorship network connecting the top 25 collaborators of Vidya Purushothaman. A scholar is included among the top collaborators of Vidya Purushothaman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Vidya Purushothaman. Vidya Purushothaman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Purushothaman, Vidya, et al.. (2025). Influence of Substance Use Disorders on Mortality in a Systemwide Cohort of Cancer Patients. Psycho-Oncology. 34(8). e70243–e70243.
2.
Nali, Matthew, Zhuoran Li, Vidya Purushothaman, et al.. (2025). Identification of Cannabis Product Characteristics and Pricing on Dark Web Markets. Journal of Psychoactive Drugs. 1–9. 1 indexed citations
3.
Nali, Matthew, Vidya Purushothaman, Zhuoran Li, et al.. (2023). Assessing Characteristics and Compliance of Online Delta-8 Tetrahydrocannabinol Product Sellers. Cannabis and Cannabinoid Research. 9(4). e1132–e1141. 5 indexed citations
4.
Cuomo, Raphael, Tim K. Mackey, & Vidya Purushothaman. (2023). Tobacco/nicotine dependence as a risk factor for substance use disorders and related mental health conditions among cancer patients. Psycho-Oncology. 32(9). 1395–1400. 1 indexed citations
5.
Nali, Matthew, Vidya Purushothaman, Zhuoran Li, et al.. (2023). Identification and Characterization of Illegal Sales of Cannabis and Nicotine Delivery Products on Telegram Messaging Platform. Nicotine & Tobacco Research. 26(6). 771–779. 14 indexed citations
6.
Purushothaman, Vidya, et al.. (2022). Content and trend analysis of user-generated nicotinesickness tweets: A retrospective infoveillance study. Tobacco Induced Diseases. 20(March). 1–9.
7.
Purushothaman, Vidya, et al.. (2022). Content Analysis of Nicotine Poisoning (Nic Sick) Videos on TikTok: Retrospective Observational Infodemiology Study. Journal of Medical Internet Research. 24(3). e34050–e34050. 16 indexed citations
8.
Purushothaman, Vidya, Raphael Cuomo, Eric C. Leas, et al.. (2022). Longitudinal analysis of tobacco and vape retail density in California. Tobacco Induced Diseases. 20(October). 1–12. 1 indexed citations
9.
Cuomo, Raphael, et al.. (2022). Estimating County-Level Overdose Rates Using Opioid-Related Twitter Data: Interdisciplinary Infodemiology Study. JMIR Formative Research. 7. e42162–e42162. 5 indexed citations
10.
Nali, Matthew, Vidya Purushothaman, Jiawei Li, & Tim K. Mackey. (2022). Characterizing California licensure status and tobacco user experience with adverse events using Yelp data. Preventive Medicine Reports. 26. 101720–101720.
11.
Yang, Joshua, et al.. (2022). Inductive Characterization of ENDS-Associated Adverse Events Among California Young Adults. SHILAP Revista de lepidopterología. 1(2). 100040–100040. 3 indexed citations
12.
Cuomo, Raphael, Vidya Purushothaman, Jiawei Li, et al.. (2021). Characterizing Self-Reported Tobacco, Vaping, and Marijuana-Related Tweets Geolocated for California College Campuses. Frontiers in Public Health. 9. 628812–628812. 3 indexed citations
13.
Yang, Joshua, Raphael Cuomo, Vidya Purushothaman, et al.. (2021). Campus Smoking Policies and Smoking-Related Twitter Posts Originating From California Public Universities: Retrospective Study. JMIR Formative Research. 5(12). e33331–e33331. 2 indexed citations
14.
Cuomo, Raphael, Vidya Purushothaman, Jiawei Li, Mingxiang Cai, & Tim K. Mackey. (2021). A longitudinal and geospatial analysis of COVID-19 tweets during the early outbreak period in the United States. BMC Public Health. 21(1). 793–793. 14 indexed citations
15.
Mackey, Tim K., et al.. (2021). Application of unsupervised machine learning to identify and characterise hydroxychloroquine misinformation on Twitter. The Lancet Digital Health. 3(2). e72–e75. 34 indexed citations
16.
Purushothaman, Vidya, Jiawei Li, & Tim K. Mackey. (2021). Detecting Suicide and Self-Harm Discussions Among Opioid Substance Users on Instagram Using Machine Learning. Frontiers in Psychiatry. 12. 551296–551296. 6 indexed citations
17.
Nali, Matthew, Vidya Purushothaman, Qing Xu, Raphael Cuomo, & Tim K. Mackey. (2021). Characterizing and assessing compliance of online vendors tothe state of Massachusetts ENDS product sales ban. Tobacco Induced Diseases. 19(January). 1–9. 7 indexed citations
18.
Li, Jiawei, Qing Xu, Raphael Cuomo, Vidya Purushothaman, & Tim K. Mackey. (2020). Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study. JMIR Public Health and Surveillance. 6(2). e18700–e18700. 126 indexed citations
19.
Mackey, Tim K., Vidya Purushothaman, Jiawei Li, et al.. (2020). Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study. JMIR Public Health and Surveillance. 6(2). e19509–e19509. 101 indexed citations
20.
Mackey, Tim K., Jiawei Li, Vidya Purushothaman, et al.. (2020). Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram. JMIR Public Health and Surveillance. 6(3). e20794–e20794. 67 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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