Simar S. Bajaj
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Health top 5%
- Vaccine Coverage and Hesitancy
Papers in
-
- Health and Medical Research Impacts 12
- Surgery 10
- Co-authors
- Fatima Cody Stanford (21 shared papers)Rushabh Doshi (3 shared papers)Hanjay Wang (16 shared papers)Christian O’Donnell (14 shared papers)Chi‐Fu Jeffrey Yang (5 shared papers)Kiah M. Williams (15 shared papers)Alexandra L. Potter (4 shared papers)Jack H. Boyd (13 shared papers)
- Journals
- The Annals of Thoracic Surgery (7 papers)Journal of Surgical Research (4 papers)Proceedings of the National Academy of Sciences (3 papers)PLoS ONE (2 papers)Surgery (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Simar S. Bajaj
54 papers receiving 789 citations
Simar S. Bajaj's Hit Papers
Peers
Comparison fields: 5 of 95
- Health Informatics 60
- Health 98
- Gender Studies 72
- Pharmacy 26
- Public Health, Environmental and Occupational Health 156
Countries citing papers authored by Simar S. Bajaj
This map shows the geographic impact of Simar S. Bajaj'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 Simar S. Bajaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simar S. Bajaj more than expected).
Fields of papers citing papers by Simar S. Bajaj
This network shows the impact of papers produced by Simar S. Bajaj. 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 Simar S. Bajaj. The network helps show where Simar S. Bajaj may publish in the future.
Co-authors
The 25 scholars most cited alongside Simar S. Bajaj, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Beyond Tuskegee — Vaccine Distrust and Everyday Racism Hit paper breakdown → | 2021 | 195 |
| 2 | 2024 | 71 | |
| 3 | 2022 | 48 | |
| 4 | 2023 | 42 | |
| 5 | 2021 | 39 | |
| 6 | 2020 | 37 | |
| 7 | 2021 | 24 | |
| 8 | 2022 | 22 | |
| 9 | 2023 | 21 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 17 | |
| 12 | 2020 | 17 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 16 | |
| 15 | 2023 | 13 | |
| 16 | 2023 | 13 | |
| 17 | 2021 | 12 | |
| 18 | 2022 | 12 | |
| 19 | 2021 | 11 | |
| 20 | 2023 | 10 |
About Simar S. Bajaj
Simar S. Bajaj is a scholar working on Public Health, Environmental and Occupational Health, Surgery, General Health Professions, Pharmacy and Pharmacology, having authored 62 papers that have together received 800 indexed citations. Recurring topics across this work include Health and Medical Research Impacts (12 papers), Obesity and Health Practices (6 papers), Pharmacology and Obesity Treatment (4 papers), COVID-19 and healthcare impacts (4 papers), Vaccine Coverage and Hesitancy (3 papers), Global Public Health Policies and Epidemiology (3 papers), Diversity and Career in Medicine (3 papers) and Artificial Intelligence in Healthcare and Education (3 papers). The work is most often cited by research in Health Informatics (60 citations), Health (98 citations), Gender Studies (72 citations), Pharmacy (26 citations) and Public Health, Environmental and Occupational Health (156 citations). Simar S. Bajaj has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Fatima Cody Stanford, Rushabh Doshi, Hanjay Wang, Christian O’Donnell, Chi‐Fu Jeffrey Yang, Kiah M. Williams, Alexandra L. Potter, Jack H. Boyd, Harlan M. Krumholz and Howard P. Forman. Their work appears in journals such as The Annals of Thoracic Surgery, Journal of Surgical Research, Proceedings of the National Academy of Sciences, PLoS ONE and Surgery.
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.