Ashwin Jainarayanan
Impact in
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
Papers in
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- Fungal and yeast genetics research 2
- Genomics, phytochemicals, and oxidative stress 1
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Michael L. Dustin (7 shared papers)Steve R. Roffler (1 shared paper)Anand Bachhawat (2 shared papers)Shambhu Yadav (2 shared papers)Sainitin Donakonda (1 shared paper)Lara R. Heij (2 shared papers)David Ahern (1 shared paper)Samir K. Brahmachari (2 shared papers)
- Journals
- Gene (1 paper)iScience (1 paper)Journal of Biosciences (1 paper)PLoS ONE (1 paper)Immune Network (1 paper)
- Partner nations
- United KingdomIndiaGermany
In The Last Decade
Ashwin Jainarayanan
14 papers receiving 190 citations
Peers
Comparison fields: 5 of 61
- Immunology 60
- Oncology 49
- Cell Biology 18
- Biochemistry 7
- Molecular Biology 64
Countries citing papers authored by Ashwin Jainarayanan
This map shows the geographic impact of Ashwin Jainarayanan'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 Ashwin Jainarayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashwin Jainarayanan more than expected).
Fields of papers citing papers by Ashwin Jainarayanan
This network shows the impact of papers produced by Ashwin Jainarayanan. 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 Ashwin Jainarayanan. The network helps show where Ashwin Jainarayanan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ashwin Jainarayanan, 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 | 2022 | 84 | |
| 2 | 2021 | 29 | |
| 3 | 2020 | 22 | |
| 4 | 2021 | 18 | |
| 5 | 2023 | 6 | |
| 6 | 2020 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 2024 | 4 | |
| 9 | 2018 | 4 | |
| 10 | 2019 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2020 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 0 |
About Ashwin Jainarayanan
Ashwin Jainarayanan is a scholar working on Molecular Biology, Immunology, Oncology, Computational Theory and Mathematics and Cell Biology, having authored 15 papers that have together received 190 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (2 papers), T-cell and B-cell Immunology (2 papers), Computational Drug Discovery Methods (2 papers), Immune Cell Function and Interaction (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper), Force Microscopy Techniques and Applications (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Immunology (60 citations), Oncology (49 citations), Cell Biology (18 citations), Biochemistry (7 citations) and Molecular Biology (64 citations). Ashwin Jainarayanan has collaborated with scholars based in United Kingdom, India and Germany. Frequent co-authors include Michael L. Dustin, Steve R. Roffler, Anand Bachhawat, Shambhu Yadav, Sainitin Donakonda, Lara R. Heij, David Ahern, Samir K. Brahmachari, Michael Silva and Jesusa Capera. Their work appears in journals such as Gene, iScience, Journal of Biosciences, PLoS ONE and Immune Network.
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.