Ajithkumar Vasanthakumar
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Immune cells in cancer
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 18
- Immune Cell Function and Interaction 16
- T-cell and B-cell Immunology 14
- Immunotherapy and Immune Responses 6
- IL-33, ST2, and ILC Pathways 3
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- Cancer therapeutics and mechanisms 2
- Co-authors
- Axel Kallies (14 shared papers)David Chisanga (2 shared papers)George Grigoriadis (5 shared papers)Renee Gloury (2 shared papers)Ashish Banerjee (5 shared papers)Wei Shi (2 shared papers)Patrick M. Gubser (1 shared paper)Sarah S. Gabriel (1 shared paper)
In The Last Decade
Ajithkumar Vasanthakumar
27 papers receiving 827 citations
Peers
Comparison fields: 5 of 94
- Immunology 522
- Oncology 218
- Cancer Research 75
- Molecular Biology 217
- Neurology 23
Countries citing papers authored by Ajithkumar Vasanthakumar
This map shows the geographic impact of Ajithkumar Vasanthakumar'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 Ajithkumar Vasanthakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajithkumar Vasanthakumar more than expected).
Fields of papers citing papers by Ajithkumar Vasanthakumar
This network shows the impact of papers produced by Ajithkumar Vasanthakumar. 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 Ajithkumar Vasanthakumar. The network helps show where Ajithkumar Vasanthakumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Ajithkumar Vasanthakumar, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 169 | |
| 2 | 2014 | 85 | |
| 3 | 2021 | 63 | |
| 4 | 2020 | 63 | |
| 5 | 2017 | 61 | |
| 6 | 2012 | 45 | |
| 7 | 2015 | 36 | |
| 8 | 2017 | 35 | |
| 9 | 2013 | 34 | |
| 10 | 2024 | 28 | |
| 11 | 2011 | 26 | |
| 12 | 2017 | 25 | |
| 13 | 2018 | 25 | |
| 14 | 2013 | 25 | |
| 15 | 2016 | 23 | |
| 16 | 2024 | 22 | |
| 17 | 2020 | 16 | |
| 18 | 2013 | 15 | |
| 19 | 2022 | 14 | |
| 20 | 2010 | 7 |
About Ajithkumar Vasanthakumar
Ajithkumar Vasanthakumar is a scholar working on Immunology, Molecular Biology, Oncology, Pharmacology and Epidemiology, having authored 27 papers that have together received 835 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (16 papers), T-cell and B-cell Immunology (14 papers), Immunotherapy and Immune Responses (6 papers), Microbial Natural Products and Biosynthesis (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Cancer therapeutics and mechanisms (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (522 citations), Oncology (218 citations), Cancer Research (75 citations), Molecular Biology (217 citations) and Neurology (23 citations). Ajithkumar Vasanthakumar has collaborated with scholars based in Australia, India and Japan. Frequent co-authors include Axel Kallies, David Chisanga, George Grigoriadis, Renee Gloury, Ashish Banerjee, Wei Shi, Patrick M. Gubser, Sarah S. Gabriel, Kevin Man and Daniel T. Utzschneider. Their work appears in journals such as Nature Communications, Cellular and Molecular Immunology, Immunological Reviews, Nature Immunology and European Journal of Immunology.
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.