Raphael Cuomo
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Pathology and Forensic Medicine top 10%
- Vitamin D Research Studies
Papers in
- Physiology 18
- Smoking Behavior and Cessation 14
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- Opioid Use Disorder Treatment 3
- Pharmaceutical Quality and Counterfeiting 3
- Co-authors
- Tim K. Mackey (59 shared papers)Vidya Purushothaman (23 shared papers)Bryan A. Liang (6 shared papers)Jiawei Li (15 shared papers)Qing Xu (8 shared papers)Mingxiang Cai (9 shared papers)Cedric F. Garland (7 shared papers)Daniel E. Lee (1 shared paper)
- Journals
- PLoS ONE (5 papers)Journal of Medical Internet Research (3 papers)BMC Public Health (3 papers)JMIR Public Health and Surveillance (3 papers)The Journal of Steroid Biochemistry and Molecular Biology (3 papers)
- Partner nations
- United StatesGermanyAustria
In The Last Decade
Raphael Cuomo
73 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 150
- Modeling and Simulation 56
- Pathology and Forensic Medicine 143
- Communication 64
- Health 63
- Public Health, Environmental and Occupational Health 208
Countries citing papers authored by Raphael Cuomo
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
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-authors
The 25 scholars most cited alongside Raphael Cuomo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 163 | |
| 2 | 2020 | 137 | |
| 3 | 2020 | 111 | |
| 4 | 2015 | 110 | |
| 5 | 2015 | 90 | |
| 6 | 2015 | 75 | |
| 7 | 2020 | 58 | |
| 8 | 2014 | 52 | |
| 9 | 2015 | 38 | |
| 10 | 2015 | 37 | |
| 11 | 2020 | 33 | |
| 12 | 2015 | 22 | |
| 13 | 2017 | 21 | |
| 14 | 2021 | 19 | |
| 15 | 2020 | 19 | |
| 16 | 2020 | 18 | |
| 17 | 2022 | 17 | |
| 18 | 2021 | 17 | |
| 19 | 2024 | 16 | |
| 20 | 2013 | 15 |
About Raphael Cuomo
Raphael Cuomo is a scholar working on Physiology, Public Health, Environmental and Occupational Health, Pathology and Forensic Medicine, Sociology and Political Science and Epidemiology, having authored 84 papers that have together received 1.3k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (14 papers), Vitamin D Research Studies (7 papers), Cannabis and Cannabinoid Research (4 papers), Pharmaceutical Economics and Policy (4 papers), Misinformation and Its Impacts (4 papers), Spam and Phishing Detection (3 papers), Opioid Use Disorder Treatment (3 papers) and Pharmaceutical Quality and Counterfeiting (3 papers). The work is most often cited by research in Modeling and Simulation (56 citations), Pathology and Forensic Medicine (143 citations), Communication (64 citations), Health (63 citations) and Public Health, Environmental and Occupational Health (208 citations). Raphael Cuomo has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Tim K. Mackey, Vidya Purushothaman, Bryan A. Liang, Jiawei Li, Qing Xu, Mingxiang Cai, Cedric F. Garland, Daniel E. Lee, Ryan Hafen and Kimberly C. Brouwer. Their work appears in journals such as PLoS ONE, Journal of Medical Internet Research, BMC Public Health, JMIR Public Health and Surveillance and The Journal of Steroid Biochemistry and Molecular Biology.
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.