Jaykant Vora
Impact in
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
-
- Computational Drug Discovery Methods
Papers in
-
- Computational Drug Discovery Methods 5
- Co-authors
- Neeta Shrivastava (12 shared papers)Sonam Sinha (11 shared papers)Anshu Srivastava (5 shared papers)Prakash C. Jha (5 shared papers)Shivani Patel (4 shared papers)Mahesh T. Chhabria (4 shared papers)H. A. Modi (2 shared papers)Mohd Athar (3 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (4 papers)Journal of Ethnopharmacology (1 paper)Phytomedicine (1 paper)International Journal of Biological Macromolecules (1 paper)HIV Medicine (1 paper)
- Partner nations
- India
In The Last Decade
Jaykant Vora
14 papers receiving 400 citations
Peers
Comparison fields: 5 of 74
- Geriatrics and Gerontology 40
- Computational Theory and Mathematics 93
- Complementary and alternative medicine 38
- Pharmacology 38
- Biochemistry 25
Countries citing papers authored by Jaykant Vora
This map shows the geographic impact of Jaykant Vora'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 Jaykant Vora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaykant Vora more than expected).
Fields of papers citing papers by Jaykant Vora
This network shows the impact of papers produced by Jaykant Vora. 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 Jaykant Vora. The network helps show where Jaykant Vora may publish in the future.
Co-authors
The 15 scholars most cited alongside Jaykant Vora, 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 | 2017 | 55 | |
| 2 | 2019 | 53 | |
| 3 | 2020 | 47 | |
| 4 | 2017 | 46 | |
| 5 | 2019 | 33 | |
| 6 | 2018 | 27 | |
| 7 | 2020 | 27 | |
| 8 | 2018 | 26 | |
| 9 | 2021 | 22 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2022 | 14 | |
| 13 | 2019 | 11 | |
| 14 | 2021 | 9 |
About Jaykant Vora
Jaykant Vora is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Geriatrics and Gerontology and Pharmacology, having authored 14 papers that have together received 407 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Sirtuins and Resveratrol in Medicine (3 papers), Acne and Rosacea Treatments and Effects (2 papers), Psidium guajava Extracts and Applications (2 papers), PARP inhibition in cancer therapy (2 papers), Essential Oils and Antimicrobial Activity (2 papers), Mosquito-borne diseases and control (2 papers) and Traditional and Medicinal Uses of Annonaceae (1 paper). The work is most often cited by research in Geriatrics and Gerontology (40 citations), Computational Theory and Mathematics (93 citations), Complementary and alternative medicine (38 citations), Pharmacology (38 citations) and Biochemistry (25 citations). Jaykant Vora has collaborated with scholars based in India. Frequent co-authors include Neeta Shrivastava, Sonam Sinha, Anshu Srivastava, Prakash C. Jha, Shivani Patel, Mahesh T. Chhabria, H. A. Modi, Mohd Athar, Abhilasha Sharma and Sonal Sharma. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Journal of Ethnopharmacology, Phytomedicine, International Journal of Biological Macromolecules and HIV Medicine.
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.