Neil Jay Sehgal
- General Health Professions top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Emergency Medicine top 5%
- Surgery
- Economics and Econometrics top 10%
- Co-authors
- Andrew D. AuerbachMark V. WilliamsEdmondo RobinsonSunil KripalaniJoshua P. MetlayGregory W. RuhnkeEduard E. VasilevskisLarissa R. Thomas
- Topics
- COVID-19 epidemiological studies (4 papers)Peripheral Artery Disease Management (4 papers)Pharmaceutical industry and healthcare (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of Internal MedicinePLoS ONE
- Partner nations
- United StatesChinaCanada
In The Last Decade
Neil Jay Sehgal
23 papers receiving 751 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- General Health Professions 310
- Cardiology and Cardiovascular Medicine 244
- Emergency Medicine 203
- Surgery 130
- Economics and Econometrics 106
Countries citing papers authored by Neil Jay Sehgal
This map shows the geographic impact of Neil Jay Sehgal'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 Neil Jay Sehgal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil Jay Sehgal more than expected).
Fields of papers citing papers by Neil Jay Sehgal
This network shows the impact of papers produced by Neil Jay Sehgal. 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 Neil Jay Sehgal. The network helps show where Neil Jay Sehgal may publish in the future.
Co-authorship network of co-authors of Neil Jay Sehgal
This figure shows the co-authorship network connecting the top 25 collaborators of Neil Jay Sehgal. A scholar is included among the top collaborators of Neil Jay Sehgal 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 Neil Jay Sehgal. Neil Jay Sehgal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 36 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 28 | |
| 11 | 19 | |
| 12 | 23 | |
| 13 | 16 | |
| 14 | 15 | |
| 15 | 47 | |
| 16 | 9 | |
| 17 | 7 | |
| 18 | Preventability and Causes of Readmissions in a National Cohort of General Medicine Patientsbreakdown → | 281 |
| 19 | 40 | |
| 20 | 51 |
About Neil Jay Sehgal
Neil Jay Sehgal is a scholar working on Modeling and Simulation, Health and General Health Professions, having authored 25 papers that have together received 765 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Peripheral Artery Disease Management (4 papers) and Pharmaceutical industry and healthcare (3 papers). The work is most often cited by research in Geriatrics and Gerontology (93 citations), Emergency Medicine (203 citations) and General Health Professions (310 citations). Neil Jay Sehgal has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Andrew D. Auerbach, Mark V. Williams, Edmondo Robinson, Sunil Kripalani, Joshua P. Metlay, Gregory W. Ruhnke, Eduard E. Vasilevskis, Larissa R. Thomas, Grant Fletcher and Peter K. Lindenauer. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and PLoS ONE.
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.