Matthew Nali

569 total citations
26 papers, 357 citations indexed

About

Matthew Nali is a scholar working on Physiology, Sociology and Political Science and Epidemiology. According to data from OpenAlex, Matthew Nali has authored 26 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 7 papers in Sociology and Political Science and 7 papers in Epidemiology. Recurrent topics in Matthew Nali's work include Smoking Behavior and Cessation (9 papers), Misinformation and Its Impacts (6 papers) and Cannabis and Cannabinoid Research (5 papers). Matthew Nali is often cited by papers focused on Smoking Behavior and Cessation (9 papers), Misinformation and Its Impacts (6 papers) and Cannabis and Cannabinoid Research (5 papers). Matthew Nali collaborates with scholars based in United States, Germany and Italy. Matthew Nali's co-authors include Tim K. Mackey, Jiawei Li, Vidya Purushothaman, Raphael Cuomo, Mingxiang Cai, Neal Shah, Bryan A. Liang, Zhuoran Li, Joshua Yang and Qing Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Journal of Medical Internet Research.

In The Last Decade

Matthew Nali

25 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Nali United States 9 182 88 86 50 46 26 357
Vidya Purushothaman United States 10 233 1.3× 104 1.2× 123 1.4× 70 1.4× 43 0.9× 28 470
Lyle Ungar United States 2 207 1.1× 86 1.0× 83 1.0× 187 3.7× 23 0.5× 4 478
Tae Min Song South Korea 11 108 0.6× 53 0.6× 53 0.6× 43 0.9× 35 0.8× 33 416
Joanne Chen Lyu United States 7 251 1.4× 106 1.2× 51 0.6× 135 2.7× 9 0.2× 23 424
Sneha Jha India 6 122 0.7× 93 1.1× 64 0.7× 69 1.4× 13 0.3× 23 441
Patrick Cheong‐Iao Pang Macao 12 126 0.7× 94 1.1× 33 0.4× 62 1.2× 65 1.4× 68 459
Ari Z Klein United States 14 72 0.4× 208 2.4× 53 0.6× 52 1.0× 38 0.8× 38 474
Mohammad Al-Ramahi United States 8 112 0.6× 69 0.8× 19 0.2× 36 0.7× 35 0.8× 36 248
Todd Bodnar United States 6 122 0.7× 76 0.9× 204 2.4× 57 1.1× 55 1.2× 10 435
Megha Sharma United States 8 215 1.2× 48 0.5× 56 0.7× 67 1.3× 14 0.3× 26 432

Countries citing papers authored by Matthew Nali

Since Specialization
Citations

This map shows the geographic impact of Matthew Nali'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 Matthew Nali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Nali more than expected).

Fields of papers citing papers by Matthew Nali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Nali. 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 Matthew Nali. The network helps show where Matthew Nali may publish in the future.

Co-authorship network of co-authors of Matthew Nali

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Nali. A scholar is included among the top collaborators of Matthew Nali 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 Matthew Nali. Matthew Nali 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.
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
2.
Nali, Matthew, et al.. (2024). Cannabis-Derived Product Types, Flavors, and Compound Types From an E-Commerce Website. JAMA Network Open. 7(10). e2440376–e2440376. 3 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.
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
5.
Shah, Neal, et al.. (2023). Identification and Characterization of Synthetic Nicotine Product Promotion and Sales on Instagram Using Natural Language Processing. Nicotine & Tobacco Research. 26(5). 580–588. 2 indexed citations
6.
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
7.
Nali, Matthew, et al.. (2022). Synthetic Cannabinoids in Prisons: Content Analysis of TikToks. SHILAP Revista de lepidopterología. 2(1). e37632–e37632. 2 indexed citations
8.
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.
9.
Xu, Qing, Matthew Nali, Jiawei Li, et al.. (2022). Impact of COVID-19 on HIV Prevention Access: A Multi-platform Social Media Infodemiology Study. AIDS and Behavior. 27(6). 1886–1896. 2 indexed citations
10.
Xu, Qing, Matthew Nali, Jiawei Li, et al.. (2022). Unsupervised Machine Learning to Detect and Characterize Barriers to Pre-exposure Prophylaxis Therapy: Multiplatform Social Media Study. SHILAP Revista de lepidopterología. 2(1). e35446–e35446. 8 indexed citations
11.
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
12.
Xu, Qing, et al.. (2021). Digital Surveillance to Identify California Alternative and Emerging Tobacco Industry Policy Influence and Mobilization on Facebook. International Journal of Environmental Research and Public Health. 18(21). 11150–11150. 5 indexed citations
13.
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
14.
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
15.
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
16.
Shah, Neal, et al.. (2021). Applying topic modelling and qualitative content analysis to identify and characterise ENDS product promotion and sales on Instagram. Tobacco Control. 32(e2). e153–e159. 12 indexed citations
17.
Cuomo, Raphael, Joshua Yang, Vidya Purushothaman, et al.. (2021). A geospatial analysis of age disparities in resolute localities of tobacco and vaping-specific storefronts in California. Tobacco Prevention & Cessation. 7(May). 1–10. 2 indexed citations
18.
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
19.
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
20.
Kuljanić, E., Marco Sortino, Giovanni Totis, & Matthew Nali. (2011). Optimization of Machining Processes: Past - Present - Future. 1 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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