Satish K. Dhingra
Impact in
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- Malaria Research and Control
- Mosquito-borne diseases and control
- Research on Leishmaniasis Studies
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- Computational Drug Discovery Methods
Papers in
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- Malaria Research and Control 15
- Mosquito-borne diseases and control 4
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- HIV/AIDS drug development and treatment 7
- Co-authors
- David A. Fidock (16 shared papers)Philipp P. Henrich (5 shared papers)Tomas Yeo (4 shared papers)Adele M. Lehane (2 shared papers)Nina F. Gnädig (2 shared papers)Judith Straimer (2 shared papers)Sachel Mok (3 shared papers)María Isabel Veiga (1 shared paper)
- Journals
- mBio (3 papers)PLoS Pathogens (2 papers)Nature Communications (2 papers)Molecular Microbiology (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Satish K. Dhingra
16 papers receiving 933 citations
Peers
Comparison fields: 5 of 75
- Public Health, Environmental and Occupational Health 794
- Computational Theory and Mathematics 322
- Parasitology 123
- Structural Biology 18
- Infectious Diseases 199
Countries citing papers authored by Satish K. Dhingra
This map shows the geographic impact of Satish K. Dhingra'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 Satish K. Dhingra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satish K. Dhingra more than expected).
Fields of papers citing papers by Satish K. Dhingra
This network shows the impact of papers produced by Satish K. Dhingra. 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 Satish K. Dhingra. The network helps show where Satish K. Dhingra may publish in the future.
Co-authors
The 25 scholars most cited alongside Satish K. Dhingra, 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 | 2016 | 194 | |
| 2 | 2018 | 157 | |
| 3 | 2019 | 117 | |
| 4 | 2017 | 96 | |
| 5 | 2015 | 87 | |
| 6 | 2021 | 42 | |
| 7 | 2015 | 42 | |
| 8 | 2020 | 39 | |
| 9 | 2016 | 36 | |
| 10 | 2019 | 33 | |
| 11 | 2018 | 30 | |
| 12 | 2018 | 25 | |
| 13 | 2022 | 21 | |
| 14 | 2023 | 6 | |
| 15 | 2022 | 5 | |
| 16 | 2020 | 4 |
About Satish K. Dhingra
Satish K. Dhingra is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Oncology, Computational Theory and Mathematics and Pharmacology, having authored 16 papers that have together received 934 indexed citations. Recurring topics across this work include Malaria Research and Control (15 papers), HIV/AIDS drug development and treatment (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Mosquito-borne diseases and control (4 papers), Computational Drug Discovery Methods (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Evolution and Genetic Dynamics (2 papers) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (794 citations), Computational Theory and Mathematics (322 citations), Parasitology (123 citations), Structural Biology (18 citations) and Infectious Diseases (199 citations). Satish K. Dhingra has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include David A. Fidock, Philipp P. Henrich, Tomas Yeo, Adele M. Lehane, Nina F. Gnädig, Judith Straimer, Sachel Mok, María Isabel Veiga, Rowena E. Martin and Anne-Catrin Uhlemann. Their work appears in journals such as mBio, PLoS Pathogens, Nature Communications, Molecular Microbiology and Scientific Reports.
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.