Tejas Kadakia
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
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- MicroRNA in disease regulation
Papers in
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- Bone Metabolism and Diseases 2
- vaccines and immunoinformatics approaches 2
- Ion Transport and Channel Regulation 1
- Ion channel regulation and function 1
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- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 2
- Co-authors
- Alfred Singer (5 shared papers)Amala Alag (4 shared papers)Terry I. Guinter (4 shared papers)Ruth Etzensperger (3 shared papers)Richard C. Schwartz (3 shared papers)Laura R. McCabe (2 shared papers)Susan O. Sharrow (2 shared papers)Motoko Y. Kimura (2 shared papers)
- Journals
- Nature Immunology (3 papers)Journal for ImmunoTherapy of Cancer (1 paper)The Journal of Experimental Medicine (1 paper)Journal of Cellular Physiology (1 paper)Experimental Cell Research (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Tejas Kadakia
11 papers receiving 363 citations
Peers
Comparison fields: 5 of 59
- Immunology 182
- Cancer Research 45
- Oncology 78
- Orthopedics and Sports Medicine 24
- Molecular Biology 144
Countries citing papers authored by Tejas Kadakia
This map shows the geographic impact of Tejas Kadakia'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 Tejas Kadakia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tejas Kadakia more than expected).
Fields of papers citing papers by Tejas Kadakia
This network shows the impact of papers produced by Tejas Kadakia. 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 Tejas Kadakia. The network helps show where Tejas Kadakia may publish in the future.
Co-authors
The 25 scholars most cited alongside Tejas Kadakia, 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 | 2015 | 124 | |
| 2 | 2008 | 60 | |
| 3 | 2019 | 33 | |
| 4 | 2004 | 33 | |
| 5 | 2017 | 31 | |
| 6 | 2023 | 28 | |
| 7 | 2019 | 23 | |
| 8 | 2018 | 12 | |
| 9 | 2010 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 2002 | 5 |
About Tejas Kadakia
Tejas Kadakia is a scholar working on Molecular Biology, Immunology, Oncology, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 11 papers that have together received 365 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (2 papers), Bone Metabolism and Diseases (2 papers), vaccines and immunoinformatics approaches (2 papers), CAR-T cell therapy research (2 papers), Ion Transport and Channel Regulation (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Immunology (182 citations), Cancer Research (45 citations), Oncology (78 citations), Orthopedics and Sports Medicine (24 citations) and Molecular Biology (144 citations). Tejas Kadakia has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Alfred Singer, Amala Alag, Terry I. Guinter, Ruth Etzensperger, Richard C. Schwartz, Laura R. McCabe, Susan O. Sharrow, Motoko Y. Kimura, Tom M. McCaughtry and Leonid A. Pobezinsky. Their work appears in journals such as Nature Immunology, Journal for ImmunoTherapy of Cancer, The Journal of Experimental Medicine, Journal of Cellular Physiology and Experimental Cell Research.
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.