Deep Mehta
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- Long-Term Effects of COVID-19 5
-
- COVID-19 Clinical Research Studies 4
- Co-authors
- Preeti Malik (6 shared papers)Urvish Patel (7 shared papers)Henry S. Sacks (4 shared papers)Raveena Kelkar (4 shared papers)Janice Gabrilove (1 shared paper)Muhammad Akrmah (1 shared paper)Nidhi Patel (1 shared paper)Ashish Sharma (3 shared papers)
- Journals
- Gastroenterology (1 paper)Journal of Stroke and Cerebrovascular Diseases (1 paper)Journal of Global Health (1 paper)Experimental and Toxicologic Pathology (1 paper)Journal of Clinical Gastroenterology (1 paper)
- Partner nations
- United StatesIndiaPakistan
In The Last Decade
Deep Mehta
11 papers receiving 641 citations
Peers
Comparison fields: 5 of 89
- Infectious Diseases 378
- Neurology 174
- Critical Care and Intensive Care Medicine 30
- Applied Microbiology and Biotechnology 7
- Modeling and Simulation 15
Countries citing papers authored by Deep Mehta
This map shows the geographic impact of Deep Mehta'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 Deep Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deep Mehta more than expected).
Fields of papers citing papers by Deep Mehta
This network shows the impact of papers produced by Deep Mehta. 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 Deep Mehta. The network helps show where Deep Mehta may publish in the future.
Co-authors
The 25 scholars most cited alongside Deep Mehta, 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 | 412 | |
| 2 | 2020 | 78 | |
| 3 | 2020 | 64 | |
| 4 | 2020 | 45 | |
| 5 | 2020 | 43 | |
| 6 | 1999 | 10 | |
| 7 | 2021 | 7 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2024 | 0 |
About Deep Mehta
Deep Mehta is a scholar working on Neurology, Infectious Diseases, Pulmonary and Respiratory Medicine, Oncology and Physiology, having authored 14 papers that have together received 667 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (5 papers), COVID-19 Clinical Research Studies (4 papers), Estrogen and related hormone effects (1 paper), Liver Diseases and Immunity (1 paper), Autopsy Techniques and Outcomes (1 paper), Respiratory Support and Mechanisms (1 paper), Gallbladder and Bile Duct Disorders (1 paper) and COVID-19 and healthcare impacts (1 paper). The work is most often cited by research in Infectious Diseases (378 citations), Neurology (174 citations), Critical Care and Intensive Care Medicine (30 citations), Applied Microbiology and Biotechnology (7 citations) and Modeling and Simulation (15 citations). Deep Mehta has collaborated with scholars based in United States, India and Pakistan. Frequent co-authors include Preeti Malik, Urvish Patel, Henry S. Sacks, Raveena Kelkar, Janice Gabrilove, Muhammad Akrmah, Nidhi Patel, Ashish Sharma, Faizan Malik and Karan Patel. Their work appears in journals such as Gastroenterology, Journal of Stroke and Cerebrovascular Diseases, Journal of Global Health, Experimental and Toxicologic Pathology and Journal of Clinical Gastroenterology.
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.