Kevin Coppa
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
Papers in
-
- COVID-19 Clinical Research Studies 8
- Oncology 5
- COVID-19 and healthcare impacts 5
- Co-authors
- Jamie S. Hirsch (13 shared papers)Saurav Chatterjee (5 shared papers)Thomas McGinn (5 shared papers)Stuart L. Cohen (6 shared papers)Eugenia Gianos (4 shared papers)Mark Goldin (4 shared papers)Nina Kohn (4 shared papers)Dimitrios Giannis (4 shared papers)
- Journals
- Journal of Thrombosis and Thrombolysis (2 papers)Journal of General Internal Medicine (2 papers)BMJ Open (1 paper)Research and Practice in Thrombosis and Haemostasis (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesNetherlands
In The Last Decade
Kevin Coppa
12 papers receiving 269 citations
Peers
Comparison fields: 5 of 64
- Internal Medicine 88
- Health Informatics 20
- Infectious Diseases 149
- Health Information Management 18
- Neurology 54
Countries citing papers authored by Kevin Coppa
This map shows the geographic impact of Kevin Coppa'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 Kevin Coppa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Coppa more than expected).
Fields of papers citing papers by Kevin Coppa
This network shows the impact of papers produced by Kevin Coppa. 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 Kevin Coppa. The network helps show where Kevin Coppa may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Coppa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 64 | |
| 2 | 2021 | 41 | |
| 3 | 2020 | 39 | |
| 4 | 2021 | 30 | |
| 5 | 2021 | 27 | |
| 6 | 2021 | 25 | |
| 7 | 2021 | 23 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2021 | 3 | |
| 12 | 2025 | 1 | |
| 13 | 2023 | 0 |
About Kevin Coppa
Kevin Coppa is a scholar working on Infectious Diseases, Oncology, Internal Medicine, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 271 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (8 papers), COVID-19 and healthcare impacts (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Sepsis Diagnosis and Treatment (3 papers), Heart Failure Treatment and Management (2 papers), Emergency and Acute Care Studies (2 papers), Machine Learning in Healthcare (2 papers) and Geriatric Care and Nursing Homes (2 papers). The work is most often cited by research in Internal Medicine (88 citations), Health Informatics (20 citations), Infectious Diseases (149 citations), Health Information Management (18 citations) and Neurology (54 citations). Kevin Coppa has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Jamie S. Hirsch, Saurav Chatterjee, Thomas McGinn, Stuart L. Cohen, Eugenia Gianos, Mark Goldin, Nina Kohn, Dimitrios Giannis, Alex C. Spyropoulos and Eun Ji Kim. Their work appears in journals such as Journal of Thrombosis and Thrombolysis, Journal of General Internal Medicine, BMJ Open, Research and Practice in Thrombosis and Haemostasis and Nature Communications.
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.