Mit Patel
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- SARS-CoV-2 and COVID-19 Research 7
- SARS-CoV-2 detection and testing 1
-
- Renal Diseases and Glomerulopathies 2
- Co-authors
- Mehul S. Suthar (2 shared papers)Madison Leigh Ellis (1 shared paper)Grace E. Mantus (1 shared paper)Gabriel Tremblay (1 shared paper)Sneh Lata Gupta (1 shared paper)Evan J. Anderson (1 shared paper)Caroline Rose Ciric (1 shared paper)Kelly E. Manning (1 shared paper)
- Journals
- Clinical Infectious Diseases (1 paper)ClinicoEconomics and Outcomes Research (1 paper)Cell Reports Medicine (1 paper)Nature (1 paper)Journal of Virology (1 paper)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Mit Patel
15 papers receiving 903 citations
Mit Patel's Hit Papers
Peers
Comparison fields: 5 of 50
- Infectious Diseases 835
- Drug Discovery 1
- Modeling and Simulation 16
- Immunology 28
- Neurology 19
Countries citing papers authored by Mit Patel
This map shows the geographic impact of Mit Patel'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 Mit Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mit Patel more than expected).
Fields of papers citing papers by Mit Patel
This network shows the impact of papers produced by Mit Patel. 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 Mit Patel. The network helps show where Mit Patel may publish in the future.
Co-authors
The 25 scholars most cited alongside Mit Patel, 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 | SARS-CoV-2 Omicron virus causes attenuated disease in mice and hamsters Hit paper breakdown → | 2022 | 520 |
| 2 | mRNA-1273 or mRNA-Omicron boost in vaccinated macaques elicits similar B cell expansion, neutralizing responses, and protection from Omicron Hit paper breakdown → | 2022 | 169 |
| 3 | 2022 | 128 | |
| 4 | 2022 | 38 | |
| 5 | 2023 | 27 | |
| 6 | 2022 | 20 | |
| 7 | 2022 | 7 | |
| 8 | 2023 | 7 | |
| 9 | Prime numbers and their analysis | 2020 | 4 |
| 10 | 2023 | 2 | |
| 11 | 2020 | 1 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2022 | 0 |
About Mit Patel
Mit Patel is a scholar working on Infectious Diseases, Nephrology, Algebra and Number Theory, Emergency Medical Services and Emergency Medicine, having authored 16 papers that have together received 927 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Renal Diseases and Glomerulopathies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), SARS-CoV-2 detection and testing (1 paper), Hospital Admissions and Outcomes (1 paper), Analytic Number Theory Research (1 paper), Autoimmune and Inflammatory Disorders Research (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Infectious Diseases (835 citations), Drug Discovery (1 citation), Modeling and Simulation (16 citations), Immunology (28 citations) and Neurology (19 citations). Mit Patel has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Mehul S. Suthar, Madison Leigh Ellis, Grace E. Mantus, Gabriel Tremblay, Sneh Lata Gupta, Evan J. Anderson, Caroline Rose Ciric, Kelly E. Manning, Ali H. Ellebedy and Jackson S. Turner. Their work appears in journals such as Clinical Infectious Diseases, ClinicoEconomics and Outcomes Research, Cell Reports Medicine, Nature and Journal of Virology.
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.