Keshava Jetha
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Computational Drug Discovery Methods
Papers in
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- SARS-CoV-2 and COVID-19 Research 2
- Viral gastroenteritis research and epidemiology 1
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- Toxin Mechanisms and Immunotoxins 1
- Biosimilars and Bioanalytical Methods 1
- Co-authors
- Vivek P. Chavda (5 shared papers)Hetvi K. Solanki (1 shared paper)Amol D. Gholap (1 shared paper)Thakur Raghu Raj Singh (1 shared paper)Lalitkumar K. Vora (2 shared papers)Jeet Gandhi (1 shared paper)Jiao Wang (1 shared paper)Bairong Shen (1 shared paper)
- Journals
- Pharmaceutics (1 paper)Current Research in Biotechnology (1 paper)DOAJ (DOAJ: Directory of Open Access Journals) (1 paper)Apple Academic Press eBooks (1 paper)Elsevier eBooks (1 paper)
- Partner nations
- IndiaUnited KingdomChina
In The Last Decade
Keshava Jetha
4 papers receiving 572 citations
Keshava Jetha's Hit Papers
Peers
Comparison fields: 5 of 116
- Health Informatics 80
- Computational Theory and Mathematics 140
- Pharmaceutical Science 47
- Health Information Management 24
- Biophysics 24
Countries citing papers authored by Keshava Jetha
This map shows the geographic impact of Keshava Jetha'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 Keshava Jetha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keshava Jetha more than expected).
Fields of papers citing papers by Keshava Jetha
This network shows the impact of papers produced by Keshava Jetha. 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 Keshava Jetha. The network helps show where Keshava Jetha may publish in the future.
Co-authors
The 11 scholars most cited alongside Keshava Jetha, 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 | Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design Hit paper breakdown → | 2023 | 595 |
| 2 | 2024 | 4 | |
| 3 | 2023 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 |
About Keshava Jetha
Keshava Jetha is a scholar working on Infectious Diseases, Immunology, Molecular Biology, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 6 papers that have together received 604 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (2 papers), Sirtuins and Resveratrol in Medicine (1 paper), Hepatitis Viruses Studies and Epidemiology (1 paper), Toxin Mechanisms and Immunotoxins (1 paper), Biosimilars and Bioanalytical Methods (1 paper), Viral Infections and Immunology Research (1 paper), Viral gastroenteritis research and epidemiology (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Health Informatics (80 citations), Computational Theory and Mathematics (140 citations), Pharmaceutical Science (47 citations), Health Information Management (24 citations) and Biophysics (24 citations). Keshava Jetha has collaborated with scholars based in India, United Kingdom and China. Frequent co-authors include Vivek P. Chavda, Hetvi K. Solanki, Amol D. Gholap, Thakur Raghu Raj Singh, Lalitkumar K. Vora, Jeet Gandhi, Jiao Wang, Bairong Shen, Rajeev K. Singla and Lakshmi Vineela Nalla. Their work appears in journals such as Pharmaceutics, Current Research in Biotechnology, DOAJ (DOAJ: Directory of Open Access Journals), Apple Academic Press eBooks and Elsevier eBooks.
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.