Ajit Kumar
Impact in
Papers in
-
- RNA Research and Splicing 14
- RNA and protein synthesis mechanisms 12
- RNA modifications and cancer 10
- Pollution 19
- Microbial bioremediation and biosurfactants 17
- Co-authors
- Raymond E. Lockard (5 shared papers)Ademola O. Olaniran (22 shared papers)Thoru Pederson (1 shared paper)James L. Lessard (4 shared papers)Shuhei Zenno (1 shared paper)Hiroki Koike (1 shared paper)Masaru Tanokura (1 shared paper)Kaoru Saigo (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (6 papers)Journal of Virology (4 papers)Nucleic Acids Research (4 papers)Scientific Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- South AfricaUnited StatesIndia
In The Last Decade
Ajit Kumar
91 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 130
- Virology 158
- Pollution 240
- Molecular Biology 1.1k
- Biotechnology 101
- Cardiology and Cardiovascular Medicine 183
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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 199 | |
| 2 | 1996 | 173 | |
| 3 | 1997 | 171 | |
| 4 | 1981 | 125 | |
| 5 | 1975 | 118 | |
| 6 | 2002 | 97 | |
| 7 | 2014 | 73 | |
| 8 | 1992 | 62 | |
| 9 | 1992 | 60 | |
| 10 | 2000 | 51 | |
| 11 | 1984 | 49 | |
| 12 | 2001 | 44 | |
| 13 | 1996 | 41 | |
| 14 | 1984 | 37 | |
| 15 | 2002 | 34 | |
| 16 | 1993 | 34 | |
| 17 | 2018 | 33 | |
| 18 | 2010 | 32 | |
| 19 | 2023 | 29 | |
| 20 | 1982 | 25 |
About Ajit Kumar
Ajit Kumar is a scholar working on Molecular Biology, Pollution, Plant Science, Biotechnology and Infectious Diseases, having authored 97 papers that have together received 2.1k indexed citations. Recurring topics across this work include Microbial bioremediation and biosurfactants (17 papers), RNA Research and Splicing (14 papers), RNA and protein synthesis mechanisms (12 papers), Enzyme Production and Characterization (10 papers), RNA modifications and cancer (10 papers), Biofuel production and bioconversion (7 papers), HIV/AIDS drug development and treatment (6 papers) and HIV Research and Treatment (6 papers). The work is most often cited by research in Virology (158 citations), Pollution (240 citations), Molecular Biology (1.1k citations), Biotechnology (101 citations) and Cardiology and Cardiovascular Medicine (183 citations). Ajit Kumar has collaborated with scholars based in South Africa, United States and India. Frequent co-authors include Raymond E. Lockard, Ademola O. Olaniran, Thoru Pederson, James L. Lessard, Shuhei Zenno, Hiroki Koike, Masaru Tanokura, Kaoru Saigo, R. Jayaraman and Kelly Crawford. Their work appears in journals such as International Journal of Biological Macromolecules, Journal of Virology, Nucleic Acids Research, Scientific Reports and Proceedings of the National Academy of Sciences.
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.