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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- Transgenic Plants and Applications 11
- Co-authors
- Sapna JainMohit KamthaniaChhitar M. GuptaKinsuk DasPawan SharmaVivek SrivastavaSadhan BagSaravanan Ramakrishnan
- Journals
- Progress in molecular biology and translational science (7 papers)Tissue and Cell (2 papers)Microbial Pathogenesis (2 papers)Biotechnology Reports (1 paper)Scientific Reports (1 paper)
- Partner nations
- IndiaUnited StatesRussia
In The Last Decade
Ajay Kumar
74 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 126
- Biotechnology 248
- Molecular Biology 613
- Plant Science 281
- Microbiology 42
- Biomaterials 86
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 13 | |
| 10 | 2020 | 3 | |
| 11 | Sexed semen technology in cattle: A revolutionary technique in Indian dairy industry | 2019 | 3 |
| 12 | Effect of mutation resulted from error prone PCR on the strength of promoter activity. | 2019 | 1 |
| 13 | 2019 | 6 | |
| 14 | 2018 | 12 | |
| 15 | 2017 | 2 | |
| 16 | 2017 | 42 | |
| 17 | 2015 | 3 | |
| 18 | 2014 | 9 | |
| 19 | Effect of Zinc and Sulphur on herb, oil yield and q uality of Menthol mint ( Mentha arvensis L.) var. Kosi | 2010 | 8 |
| 20 | 2003 | 13 |
About Ajay Kumar
Ajay Kumar is a scholar working on Biotechnology, Microbiology, Molecular Biology, Virology and Immunology, having authored 83 papers that have together received 1.2k indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (28 papers), Transgenic Plants and Applications (11 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Virology and Viral Diseases (6 papers), Bacteriophages and microbial interactions (6 papers), Mosquito-borne diseases and control (5 papers), Immunotherapy and Immune Responses (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Biotechnology (248 citations), Molecular Biology (613 citations), Plant Science (281 citations), Microbiology (42 citations) and Biomaterials (86 citations). Ajay Kumar has collaborated with scholars based in India, United States and Russia. Frequent co-authors include Sapna Jain, Mohit Kamthania, Chhitar M. Gupta, Kinsuk Das, Pawan Sharma, Vivek Srivastava, Sadhan Bag, Saravanan Ramakrishnan, Praveen Singh and Abhishek Chandra Saxena. Their work appears in journals such as Progress in molecular biology and translational science, Tissue and Cell, Microbial Pathogenesis, Biotechnology Reports 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.