Raphael Cuomo

1.9k total citations
82 papers, 1.2k citations indexed

About

Raphael Cuomo is a scholar working on Physiology, Public Health, Environmental and Occupational Health and Epidemiology. According to data from OpenAlex, Raphael Cuomo has authored 82 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Physiology, 20 papers in Public Health, Environmental and Occupational Health and 17 papers in Epidemiology. Recurrent topics in Raphael Cuomo's work include Smoking Behavior and Cessation (16 papers), Misinformation and Its Impacts (12 papers) and Data-Driven Disease Surveillance (10 papers). Raphael Cuomo is often cited by papers focused on Smoking Behavior and Cessation (16 papers), Misinformation and Its Impacts (12 papers) and Data-Driven Disease Surveillance (10 papers). Raphael Cuomo collaborates with scholars based in United States, Germany and Austria. Raphael Cuomo's co-authors include Tim K. Mackey, Bryan A. Liang, Vidya Purushothaman, Jiawei Li, Qing Xu, Mingxiang Cai, Cedric F. Garland, Ryan Hafen, Daniel E. Lee and Kimberly C. Brouwer and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Microbiology Reviews.

In The Last Decade

Raphael Cuomo

69 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raphael Cuomo United States 17 302 264 225 160 142 82 1.2k
Jared B. Hawkins United States 23 375 1.2× 156 0.6× 458 2.0× 74 0.5× 86 0.6× 43 2.0k
Jeffrey S. McCullough United States 23 237 0.8× 306 1.2× 228 1.0× 59 0.4× 72 0.5× 82 2.6k
Constance Johnson United States 20 130 0.4× 292 1.1× 177 0.8× 165 1.0× 487 3.4× 90 2.5k
Fernando Martín-Sánchez Spain 22 193 0.6× 247 0.9× 134 0.6× 49 0.3× 64 0.5× 103 2.1k
Mary Lynn Young United States 29 421 1.4× 331 1.3× 168 0.7× 114 0.7× 152 1.1× 60 2.3k
Jackie Street Australia 27 216 0.7× 399 1.5× 180 0.8× 69 0.4× 51 0.4× 80 1.8k
Juan Carlos Valderrama‐Zurián Spain 19 138 0.5× 146 0.6× 167 0.7× 51 0.3× 37 0.3× 144 1.4k
Courtney L. Scherr United States 18 368 1.2× 271 1.0× 119 0.5× 57 0.4× 45 0.3× 59 1.5k
Yik Ying Teo Singapore 24 165 0.5× 197 0.7× 285 1.3× 161 1.0× 53 0.4× 62 2.9k
Hala Ghattas Lebanon 28 222 0.7× 332 1.3× 250 1.1× 204 1.3× 47 0.3× 111 2.9k

Countries citing papers authored by Raphael Cuomo

Since Specialization
Citations

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

Fields of papers citing papers by Raphael Cuomo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphael Cuomo

This figure shows the co-authorship network connecting the top 25 collaborators of Raphael Cuomo. A scholar is included among the top collaborators of Raphael Cuomo 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 Raphael Cuomo. Raphael Cuomo 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.
Meyer, Brett C., Félix López de Felipe, Raphael Cuomo, et al.. (2025). Lipoprotein(a) testing trends in young ischemic stroke patients from 2015-2024: An analysis of 188,000 individuals. Journal of Stroke and Cerebrovascular Diseases. 35(1). 108513–108513.
3.
Cuomo, Raphael. (2025). Cannabis use disorder and mortality among patients with colon cancer. Annals of Epidemiology. 106. 8–10. 1 indexed citations
4.
Cuomo, Raphael. (2025). The Nutritional Epidemiology Risk–Survival Paradox. Journal of Nutrition. 155(10). 3148–3151.
5.
6.
Cuomo, Raphael, et al.. (2023). Modeling and Phenotyping Acute and Chronic Type 2 Diabetes Mellitus In Vitro in Rodent Heart and Skeletal Muscle Cells. Cells. 12(24). 2786–2786. 6 indexed citations
7.
Cuomo, Raphael, et al.. (2023). Tobacco Product Marketing Orders and Online Marketing and Sale of Unauthorized ENDS Products. JAMA Internal Medicine. 183(10). 1170–1170. 2 indexed citations
8.
9.
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
10.
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.
11.
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
12.
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
13.
Nali, Matthew, et al.. (2022). Synthetic Cannabinoids in Prisons: Content Analysis of TikToks. SHILAP Revista de lepidopterología. 2(1). e37632–e37632. 2 indexed citations
14.
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
15.
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
16.
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
17.
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
18.
Cai, Mingxiang, Neal Shah, Jiawei Li, et al.. (2020). Identification and characterization of tweets related to the 2015 Indiana HIV outbreak: A retrospective infoveillance study. PLoS ONE. 15(8). e0235150–e0235150. 18 indexed citations
19.
Katsuki, Takeo, Tim K. Mackey, & Raphael Cuomo. (2015). Establishing a Link Between Prescription Drug Abuse and Illicit Online Pharmacies: Analysis of Twitter Data. Journal of Medical Internet Research. 17(12). e280–e280. 70 indexed citations
20.

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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