Raphael E. 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 20
- Smoking Behavior and Cessation 15
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- Vitamin D Research Studies 8
- Co-authors
- Tim Ken Mackey (61 shared papers)Bryan A. Liang (6 shared papers)Vidya Lakshmi Purushothaman (23 shared papers)Jiawei Li (15 shared papers)Qing Xu (8 shared papers)Mingxiang Cai (9 shared papers)Kimberly C. Brouwer (1 shared paper)Daniel E. Lee (1 shared paper)
- Journals
- PLoS ONE (5 papers)The Journal of Steroid Biochemistry and Molecular Biology (3 papers)Tobacco Induced Diseases (3 papers)Journal of Medical Internet Research (3 papers)JMIR Public Health and Surveillance (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Raphael E. Cuomo
78 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 152
- Modeling and Simulation 58
- Pathology and Forensic Medicine 148
- Communication 65
- Health 66
- Public Health, Environmental and Occupational Health 225
Countries citing papers authored by Raphael E. Cuomo
This map shows the geographic impact of Raphael E. 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 E. 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 E. Cuomo more than expected).
Fields of papers citing papers by Raphael E. Cuomo
This network shows the impact of papers produced by Raphael E. 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 E. Cuomo. The network helps show where Raphael E. Cuomo may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphael E. 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 176 | |
| 2 | 2020 | 141 | |
| 3 | 2015 | 114 | |
| 4 | 2020 | 114 | |
| 5 | 2015 | 93 | |
| 6 | 2015 | 79 | |
| 7 | 2020 | 61 | |
| 8 | 2014 | 52 | |
| 9 | 2015 | 44 | |
| 10 | 2015 | 39 | |
| 11 | 2020 | 33 | |
| 12 | 2020 | 27 | |
| 13 | 2017 | 25 | |
| 14 | 2015 | 22 | |
| 15 | 2021 | 20 | |
| 16 | 2022 | 19 | |
| 17 | 2020 | 17 | |
| 18 | 2024 | 17 | |
| 19 | 2021 | 17 | |
| 20 | 2022 | 16 |
About Raphael E. Cuomo
Raphael E. Cuomo is a scholar working on Physiology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Clinical Psychology and Health, having authored 90 papers that have together received 1.4k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (15 papers), Vitamin D Research Studies (8 papers), Pharmaceutical Economics and Policy (5 papers), Cannabis and Cannabinoid Research (4 papers), Misinformation and Its Impacts (4 papers), Pharmaceutical Quality and Counterfeiting (3 papers), Climate Change and Health Impacts (3 papers) and Opioid Use Disorder Treatment (3 papers). The work is most often cited by research in Modeling and Simulation (58 citations), Pathology and Forensic Medicine (148 citations), Communication (65 citations), Health (66 citations) and Public Health, Environmental and Occupational Health (225 citations). Raphael E. Cuomo has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Tim Ken Mackey, Bryan A. Liang, Vidya Lakshmi Purushothaman, Jiawei Li, Qing Xu, Mingxiang Cai, Kimberly C. Brouwer, Daniel E. Lee, Ryan Hafen and Cedric F. Garland. Their work appears in journals such as PLoS ONE, The Journal of Steroid Biochemistry and Molecular Biology, Tobacco Induced Diseases, Journal of Medical Internet Research and JMIR Public Health and Surveillance.
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.