Kevin Coppa

10.4k total citations
13 papers, 271 citations indexed

About

Kevin Coppa is a scholar working on Infectious Diseases, Oncology and Internal Medicine. According to data from OpenAlex, Kevin Coppa has authored 13 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 5 papers in Oncology and 4 papers in Internal Medicine. Recurrent topics in Kevin Coppa's work include COVID-19 Clinical Research Studies (8 papers), COVID-19 and healthcare impacts (5 papers) and Venous Thromboembolism Diagnosis and Management (4 papers). Kevin Coppa is often cited by papers focused on COVID-19 Clinical Research Studies (8 papers), COVID-19 and healthcare impacts (5 papers) and Venous Thromboembolism Diagnosis and Management (4 papers). Kevin Coppa collaborates with scholars based in United States and Netherlands. Kevin Coppa's co-authors include Jamie S. Hirsch, Thomas McGinn, Saurav Chatterjee, Stuart L. Cohen, Alex C. Spyropoulos, Nina Kohn, Mark Goldin, Eugenia Gianos, Dimitrios Giannis and Eun Ji Kim and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kevin Coppa

12 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin Coppa United States 8 149 88 84 54 43 13 271
Chad Klochko United States 9 137 0.9× 81 0.9× 93 1.1× 51 0.9× 57 1.3× 27 343
Jeffrey Nadig United States 4 146 1.0× 81 0.9× 90 1.1× 50 0.9× 31 0.7× 8 310
Inès Saab France 6 395 2.7× 111 1.3× 154 1.8× 146 2.7× 33 0.8× 6 621
Silvia Luvarà Italy 5 85 0.6× 21 0.2× 62 0.7× 23 0.4× 20 0.5× 6 268
Christine Rutan United States 11 81 0.5× 13 0.1× 62 0.7× 81 1.5× 20 0.5× 18 261
Rahim Kanji United Kingdom 9 67 0.4× 41 0.5× 27 0.3× 35 0.6× 42 1.0× 18 217
Avinash Mani India 5 139 0.9× 9 0.1× 36 0.4× 74 1.4× 40 0.9× 18 267
Jasenko Krdzalic Netherlands 6 359 2.4× 19 0.2× 190 2.3× 122 2.3× 47 1.1× 13 681
Muhammed Kermali United Kingdom 6 358 2.4× 14 0.2× 83 1.0× 170 3.1× 62 1.4× 9 507
Jiatian Cao China 4 423 2.8× 43 0.5× 108 1.3× 191 3.5× 36 0.8× 10 518

Countries citing papers authored by Kevin Coppa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kevin Coppa

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Coppa. A scholar is included among the top collaborators of Kevin Coppa 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 Kevin Coppa. Kevin Coppa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Kim, Eun Ji, Kevin Coppa, Amresh Hanchate, et al.. (2025). Utilization of transitional care management services and 30-day readmission. PLoS ONE. 20(1). e0316892–e0316892. 1 indexed citations
2.
Coppa, Kevin, et al.. (2023). Application of a Machine Learning Algorithm to Develop and Validate a Prediction Model for Ambulatory Non-Arrivals. Journal of General Internal Medicine. 38(10). 2298–2307. 3 indexed citations
3.
Levy, Todd, Kevin Coppa, Jamie S. Hirsch, et al.. (2023). Longitudinal dynamic clinical phenotypes of in-hospital COVID-19 patients across three dominant virus variants in New York. International Journal of Medical Informatics. 181. 105286–105286.
4.
Levy, Todd, Kevin Coppa, Douglas P. Barnaby, et al.. (2022). Development and validation of self-monitoring auto-updating prognostic models of survival for hospitalized COVID-19 patients. Nature Communications. 13(1). 6812–6812. 11 indexed citations
5.
Spyropoulos, Alex C., Stuart L. Cohen, Eugenia Gianos, et al.. (2021). Validation of the IMPROVE‐DD risk assessment model for venous thromboembolism among hospitalized patients with COVID‐19. Research and Practice in Thrombosis and Haemostasis. 5(2). 296–300. 27 indexed citations
6.
Giannis, Dimitrios, Matthew A. Barish, Mark Goldin, et al.. (2021). Incidence of Venous Thromboembolism and Mortality in Patients with Initial Presentation of COVID-19. Journal of Thrombosis and Thrombolysis. 51(4). 897–901. 30 indexed citations
7.
Goldin, Mark, Nina Kohn, Michael Qiu, et al.. (2021). External validation of the IMPROVE-DD risk assessment model for venous thromboembolism among inpatients with COVID-19. Journal of Thrombosis and Thrombolysis. 52(4). 1032–1035. 25 indexed citations
8.
Kim, Eun Ji, Kevin Coppa, Jamie S. Hirsch, et al.. (2021). Examination of patient characteristics and hydroxychloroquine use based on the US Food and Drug Administration’s recommendation: a cross-sectional analysis in New York. BMJ Open. 11(2). e042965–e042965. 3 indexed citations
9.
Jarrett, Mark, et al.. (2021). Early Experience With Neutralizing Monoclonal Antibody Therapy for COVID-19: Retrospective Cohort Survival Analysis and Descriptive Study. SHILAP Revista de lepidopterología. 2(3). e29638–e29638. 4 indexed citations
10.
Coppa, Kevin, et al.. (2021). Examination of Post-discharge Follow-up Appointment Status and 30-Day Readmission. Journal of General Internal Medicine. 36(5). 1214–1221. 23 indexed citations
11.
Cohen, Stuart L., Eugenia Gianos, Saurav Chatterjee, et al.. (2021). Prevalence and Predictors of Venous Thromboembolism or Mortality in Hospitalized COVID-19 Patients. Thrombosis and Haemostasis. 121(8). 1043–1053. 41 indexed citations
12.
Trindade, Arvind J., et al.. (2020). Gastrointestinal bleeding in hospitalized COVID‐19 patients: a propensity score matched cohort study. Journal of Internal Medicine. 289(6). 887–894. 39 indexed citations
13.
Barnaby, Douglas P., Kevin Coppa, Eun Ji Kim, et al.. (2020). Machine learning to assist clinical decision-making during the COVID-19 pandemic. SHILAP Revista de lepidopterología. 6(1). 14–14. 64 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026