Ajit Kumar
Impact in
- Virology top 2%
- HIV Research and Treatment
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Interference and Gene Delivery
Papers in ⓘ
- Virology 16
- HIV Research and Treatment 16
- Co-authors
- Jonathan R. Warner (2 shared papers)Hanumantharao G. Raj (33 shared papers)Uno Lindberg (1 shared paper)Virinder S. Parmar (30 shared papers)Ashok K. Prasad (24 shared papers)Sergeï Nekhai (6 shared papers)Roy S. Wu (2 shared papers)Ronald A. Malt (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry (7 papers)Journal of Virology (5 papers)Journal of Molecular Biology (4 papers)Proceedings of the National Academy of Sciences (4 papers)Applied Biochemistry and Biotechnology (3 papers)
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Ajit Kumar
110 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 130
- Virology 349
- Molecular Biology 1.3k
- Toxicology 54
- Infectious Diseases 238
- Organic Chemistry 346
Countries citing papers authored by Ajit Kumar
This map shows the geographic impact of Ajit 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 Ajit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajit Kumar more than expected).
Fields of papers citing papers by Ajit Kumar
This network shows the impact of papers produced by Ajit 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 Ajit Kumar. The network helps show where Ajit Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajit 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1972 | 102 | |
| 2 | 2005 | 99 | |
| 3 | 1972 | 95 | |
| 4 | 2005 | 79 | |
| 5 | 2013 | 73 | |
| 6 | 2021 | 69 | |
| 7 | 1971 | 69 | |
| 8 | 2010 | 67 | |
| 9 | 2003 | 66 | |
| 10 | 2003 | 60 | |
| 11 | 2004 | 58 | |
| 12 | 2005 | 57 | |
| 13 | 1975 | 56 | |
| 14 | 2002 | 55 | |
| 15 | 2002 | 53 | |
| 16 | 1986 | 51 | |
| 17 | 1971 | 47 | |
| 18 | 2005 | 43 | |
| 19 | 2003 | 43 | |
| 20 | 2007 | 42 |
About Ajit Kumar
Ajit Kumar is a scholar working on Virology, Physiology, Molecular Biology, Organic Chemistry and Agronomy and Crop Science, having authored 117 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (19 papers), HIV Research and Treatment (16 papers), Peptidase Inhibition and Analysis (15 papers), RNA modifications and cancer (12 papers), RNA and protein synthesis mechanisms (12 papers), Synthesis and Biological Evaluation (8 papers), Biochemical and Molecular Research (6 papers) and Synthesis and biological activity (6 papers). The work is most often cited by research in Virology (349 citations), Molecular Biology (1.3k citations), Toxicology (54 citations), Infectious Diseases (238 citations) and Organic Chemistry (346 citations). Ajit Kumar has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Jonathan R. Warner, Hanumantharao G. Raj, Uno Lindberg, Virinder S. Parmar, Ashok K. Prasad, Sergeï Nekhai, Roy S. Wu, Ronald A. Malt, John Brady and Fatah Kashanchi. Their work appears in journals such as Bioorganic & Medicinal Chemistry, Journal of Virology, Journal of Molecular Biology, Proceedings of the National Academy of Sciences and Applied Biochemistry and Biotechnology.
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.