Ajay Kumar
Impact in
- Biotechnology top 2%
- Microbial Metabolism and Applications
- Transgenic Plants and Applications
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- Pineapple and bromelain studies
- vaccines and immunoinformatics approaches
- Biochemical and Structural Characterization
Papers in
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- vaccines and immunoinformatics approaches 28
- Epidemiology 14
- Virology and Viral Diseases 6
- Co-authors
- Sapna Jain (1 shared paper)Mohit Kamthania (1 shared paper)Chhitar M. Gupta (2 shared papers)Sadhan Bag (5 shared papers)Kinsuk Das (5 shared papers)Vivek Srivastava (5 shared papers)Pawan Sharma (7 shared papers)Praveen Singh (4 shared papers)
- Journals
- Progress in molecular biology and translational science (7 papers)Microbial Pathogenesis (2 papers)Tissue and Cell (2 papers)Molecular Diversity (1 paper)Scientific Reports (1 paper)
- Partner nations
- IndiaUnited StatesBulgaria
In The Last Decade
Ajay Kumar
75 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 121
- Biotechnology 237
- Molecular Biology 601
- Microbiology 47
- Plant Science 275
- Biomaterials 79
Countries citing papers authored by Ajay Kumar
This map shows the geographic impact of Ajay 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 Ajay Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajay Kumar more than expected).
Fields of papers citing papers by Ajay Kumar
This network shows the impact of papers produced by Ajay 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 Ajay Kumar. The network helps show where Ajay Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajay 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 348 | |
| 2 | 2011 | 304 | |
| 3 | 2017 | 43 | |
| 4 | 2012 | 41 | |
| 5 | 2017 | 35 | |
| 6 | 2015 | 33 | |
| 7 | 2020 | 28 | |
| 8 | 2016 | 22 | |
| 9 | 2015 | 20 | |
| 10 | 1985 | 16 | |
| 11 | 2019 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 1983 | 15 | |
| 14 | 2016 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2003 | 13 | |
| 17 | 2011 | 13 | |
| 18 | 2015 | 13 | |
| 19 | 2013 | 13 | |
| 20 | 2018 | 12 |
About Ajay Kumar
Ajay Kumar is a scholar working on Molecular Biology, Epidemiology, Biotechnology, Immunology and Infectious Diseases, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (28 papers), Transgenic Plants and Applications (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Virology and Viral Diseases (6 papers), Bacteriophages and microbial interactions (6 papers), Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Biotechnology (237 citations), Molecular Biology (601 citations), Microbiology (47 citations), Plant Science (275 citations) and Biomaterials (79 citations). Ajay Kumar has collaborated with scholars based in India, United States and Bulgaria. Frequent co-authors include Sapna Jain, Mohit Kamthania, Chhitar M. Gupta, Sadhan Bag, Kinsuk Das, Vivek Srivastava, Pawan Sharma, Praveen Singh, Saravanan Ramakrishnan and Abhishek Chandra Saxena. Their work appears in journals such as Progress in molecular biology and translational science, Microbial Pathogenesis, Tissue and Cell, Molecular Diversity and Scientific Reports.
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.