Deepa Malhotra
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 Clinical Research Studies 4
-
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Birol Emir (10 shared papers)Jennifer L. Nguyen (11 shared papers)Manuela Di Fusco (7 shared papers)Michael Benigno (5 shared papers)Frederick J. Angulo (2 shared papers)Jay Lin (2 shared papers)Kimberly M. Shea (1 shared paper)Anita Sung (1 shared paper)
- Journals
- Journal of Medical Economics (4 papers)JAMA Network Open (2 papers)Open Forum Infectious Diseases (2 papers)BMC Medicine (1 paper)Journal of Pain Research (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Deepa Malhotra
21 papers receiving 378 citations
Peers
Comparison fields: 5 of 67
- Infectious Diseases 101
- Modeling and Simulation 20
- Neurology 48
- Epidemiology 75
- Health 18
Countries citing papers authored by Deepa Malhotra
This map shows the geographic impact of Deepa Malhotra'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 Deepa Malhotra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepa Malhotra more than expected).
Fields of papers citing papers by Deepa Malhotra
This network shows the impact of papers produced by Deepa Malhotra. 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 Deepa Malhotra. The network helps show where Deepa Malhotra may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepa Malhotra, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 139 | |
| 2 | 2022 | 56 | |
| 3 | 2021 | 35 | |
| 4 | 2022 | 23 | |
| 5 | 2022 | 19 | |
| 6 | 2021 | 18 | |
| 7 | 2023 | 15 | |
| 8 | 2022 | 14 | |
| 9 | 2024 | 13 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2023 | 6 | |
| 14 | 2023 | 4 | |
| 15 | 2024 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2021 | 1 |
About Deepa Malhotra
Deepa Malhotra is a scholar working on Infectious Diseases, Epidemiology, Neurology, Rheumatology and Surgery, having authored 21 papers that have together received 381 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Long-Term Effects of COVID-19 (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Inflammatory mediators and NSAID effects (1 paper), Diet, Metabolism, and Disease (1 paper) and Down syndrome and intellectual disability research (1 paper). The work is most often cited by research in Infectious Diseases (101 citations), Modeling and Simulation (20 citations), Neurology (48 citations), Epidemiology (75 citations) and Health (18 citations). Deepa Malhotra has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Birol Emir, Jennifer L. Nguyen, Manuela Di Fusco, Michael Benigno, Frederick J. Angulo, Jay Lin, Kimberly M. Shea, Anita Sung, Jennifer Hammond and Leah J. McGrath. Their work appears in journals such as Journal of Medical Economics, JAMA Network Open, Open Forum Infectious Diseases, BMC Medicine and Journal of Pain Research.
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.