Amit Kumar
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
Papers in
-
- CRISPR and Genetic Engineering 5
- Plant biochemistry and biosynthesis 5
- Oncology 14
- CAR-T cell therapy research 4
- Viral-associated cancers and disorders 4
- Co-authors
- Syed Riyaz‐Ul‐Hassan (2 shared papers)Hyunseok Kim (1 shared paper)Sebastian Wagner (1 shared paper)Chu‐Xia Deng (1 shared paper)Brian T. Weinert (1 shared paper)Chunaram Choudhary (1 shared paper)Zahoor Ahmed Wani (1 shared paper)Nasheeman Ashraf (1 shared paper)
- Journals
- Advances in cancer research (5 papers)Scientific Reports (2 papers)Cancers (2 papers)Physiologia Plantarum (2 papers)PLoS ONE (2 papers)
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Amit Kumar
65 papers receiving 756 citations
Peers
Comparison fields: 5 of 115
- Geriatrics and Gerontology 75
- Pharmacology 69
- Biological Psychiatry 13
- Anesthesiology and Pain Medicine 28
- Oncology 125
Countries citing papers authored by Amit Kumar
This map shows the geographic impact of Amit Kumar'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 Amit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Kumar more than expected).
Fields of papers citing papers by Amit Kumar
This network shows the impact of papers produced by Amit Kumar. 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 Amit Kumar. The network helps show where Amit Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Kumar, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 120 | |
| 2 | 2017 | 84 | |
| 3 | Yoga therapy for NIDDM: a controlled trial | 1992 | 60 |
| 4 | 2021 | 52 | |
| 5 | 2019 | 51 | |
| 6 | 2022 | 30 | |
| 7 | 2021 | 21 | |
| 8 | 2023 | 19 | |
| 9 | 2018 | 19 | |
| 10 | 2017 | 18 | |
| 11 | 2014 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2021 | 16 | |
| 14 | 2023 | 15 | |
| 15 | 2022 | 15 | |
| 16 | 2017 | 14 | |
| 17 | 2023 | 14 | |
| 18 | 2019 | 13 | |
| 19 | 2023 | 11 | |
| 20 | 2021 | 11 |
About Amit Kumar
Amit Kumar is a scholar working on Molecular Biology, Oncology, Epidemiology, Pulmonary and Respiratory Medicine and Surgery, having authored 79 papers that have together received 770 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Plant biochemistry and biosynthesis (5 papers), CAR-T cell therapy research (4 papers), Viral-associated cancers and disorders (4 papers), Virus-based gene therapy research (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Geriatrics and Gerontology (75 citations), Pharmacology (69 citations), Biological Psychiatry (13 citations), Anesthesiology and Pain Medicine (28 citations) and Oncology (125 citations). Amit Kumar has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Syed Riyaz‐Ul‐Hassan, Hyunseok Kim, Sebastian Wagner, Chu‐Xia Deng, Brian T. Weinert, Chunaram Choudhary, Zahoor Ahmed Wani, Nasheeman Ashraf, Phalisteen Sultan and P Dandona. Their work appears in journals such as Advances in cancer research, Scientific Reports, Cancers, Physiologia Plantarum and PLoS ONE.
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.