John Buresh
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
-
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Oncology 3
- COVID-19 and healthcare impacts 3
- Co-authors
- Natalie E. Sheils (8 shared papers)Rachel M. Werner (5 shared papers)David A. Asch (5 shared papers)Yong Chen (6 shared papers)Jalpa A. Doshi (4 shared papers)Md. Nazmul Islam (4 shared papers)Nazmul Islam (2 shared papers)Chongliang Luo (3 shared papers)
- Journals
- JAMA Network Open (2 papers)Journal of Primary Care & Community Health (1 paper)Journal of Clinical Oncology (1 paper)npj Digital Medicine (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- United StatesVietnam
In The Last Decade
John Buresh
11 papers receiving 326 citations
Peers
Comparison fields: 5 of 68
- Modeling and Simulation 37
- Infectious Diseases 111
- Health 46
- Critical Care and Intensive Care Medicine 21
- Clinical Psychology 84
Countries citing papers authored by John Buresh
This map shows the geographic impact of John Buresh'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 John Buresh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Buresh more than expected).
Fields of papers citing papers by John Buresh
This network shows the impact of papers produced by John Buresh. 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 John Buresh. The network helps show where John Buresh may publish in the future.
Co-authors
The 25 scholars most cited alongside John Buresh, 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 | 144 | |
| 2 | 2021 | 73 | |
| 3 | 2021 | 31 | |
| 4 | 2021 | 29 | |
| 5 | 2022 | 16 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 2 |
About John Buresh
John Buresh is a scholar working on General Health Professions, Oncology, Statistics and Probability, Infectious Diseases and Health, having authored 11 papers that have together received 336 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (3 papers), Statistical Methods and Bayesian Inference (2 papers), Emergency and Acute Care Studies (2 papers), Advanced Causal Inference Techniques (2 papers), COVID-19 and Mental Health (2 papers), Long-Term Effects of COVID-19 (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Modeling and Simulation (37 citations), Infectious Diseases (111 citations), Health (46 citations), Critical Care and Intensive Care Medicine (21 citations) and Clinical Psychology (84 citations). John Buresh has collaborated with scholars based in United States and Vietnam. Frequent co-authors include Natalie E. Sheils, Rachel M. Werner, David A. Asch, Yong Chen, Jalpa A. Doshi, Md. Nazmul Islam, Nazmul Islam, Chongliang Luo, Kelly C. Allison and Jalpa A. Doshi. Their work appears in journals such as JAMA Network Open, Journal of Primary Care & Community Health, Journal of Clinical Oncology, npj Digital Medicine and Journal of Biomedical Informatics.
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.