Ajit Kumar
Impact in
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- HIV Research and Treatment
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- Adsorption and biosorption for pollutant removal
Papers in
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- RNA and protein synthesis mechanisms 3
- vaccines and immunoinformatics approaches 3
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- Tuberculosis Research and Epidemiology 5
- HIV/AIDS drug development and treatment 4
- Co-authors
- Selvaraju Narayanasamy (1 shared paper)Chandi Patra (1 shared paper)P. J. John (2 shared papers)Inderpal Soni (2 shared papers)Eicke Latz (1 shared paper)Silvio Urcuqui‐Inchima (1 shared paper)Stéphane Paul (1 shared paper)Juan C. Hernández (1 shared paper)
- Journals
- Journal of Biomolecular Structure and Dynamics (4 papers)CNS & Neurological Disorders - Drug Targets (2 papers)Biochemistry (2 papers)Plant Physiology and Biochemistry (1 paper)Gene (1 paper)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Ajit Kumar
38 papers receiving 325 citations
Peers
Comparison fields: 5 of 81
- Virology 20
- Water Science and Technology 52
- Pollution 42
- Infectious Diseases 36
- Analytical Chemistry 20
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2011 | 44 | |
| 3 | 2013 | 30 | |
| 4 | 2014 | 20 | |
| 5 | 2017 | 16 | |
| 6 | 2017 | 14 | |
| 7 | Screening of Adhatoda vasica Nees as a Putative HIV-protease Inhibitor | 2010 | 13 |
| 8 | 2015 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2015 | 10 | |
| 11 | 2023 | 9 | |
| 12 | 2017 | 8 | |
| 13 | 2024 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2021 | 6 | |
| 16 | Molecular Tools for Diagnosis of Latent Haemoprotozoan Diseases of Livestock. | 2008 | 4 |
| 17 | 2024 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2019 | 4 | |
| 20 | 2023 | 4 |
About Ajit Kumar
Ajit Kumar is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Pollution and Oncology, having authored 40 papers that have together received 333 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Tuberculosis Research and Epidemiology (5 papers), HIV/AIDS drug development and treatment (4 papers), Pesticide and Herbicide Environmental Studies (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), RNA and protein synthesis mechanisms (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Virology (20 citations), Water Science and Technology (52 citations), Pollution (42 citations), Infectious Diseases (36 citations) and Analytical Chemistry (20 citations). Ajit Kumar has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Selvaraju Narayanasamy, Chandi Patra, P. J. John, Inderpal Soni, Eicke Latz, Silvio Urcuqui‐Inchima, Stéphane Paul, Juan C. Hernández, Promod K. Mehta and Sunil Kumar Mukherjee. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, CNS & Neurological Disorders - Drug Targets, Biochemistry, Plant Physiology and Biochemistry and Gene.
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.