Tejas Kadakia

458 citations
11 papers · 341 · h-index 9

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
    • MicroRNA in disease regulation

Papers in

    • Bone Metabolism and Diseases 2
    • vaccines and immunoinformatics approaches 2
    • Ion channel regulation and function 1
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 2

Tejas Kadakia

11 papers receiving 340 citations

Peers

Tejas Kadakia
Comparison fields: 5 of 59
  • Immunology 175
  • Cancer Research 48
  • Oncology 85
  • Orthopedics and Sports Medicine 25
  • Molecular Biology 147
Replace Laura Chiu with:
Laura Chiu United States
Mikoto Yoshida Japan
Nathalie Amiable Canada
Gareth Hyde United Kingdom
Alanna C. Green Australia
Yiji Cheng China
Richard Balakir United States
Michael Shi United States
Xiaoli Xu China
Zhijie Bai China
Tejas Kadakia relative to Laura Chiu United States Laura Chiu's profile →
Citations per field
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Laura Chiu · 1×
Citations per year

Countries citing papers authored by Tejas Kadakia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tejas Kadakia Line = papers co-authored together Tejas Kadakia links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2015119
2 200857
3 201932
4 200431
5 201727
6 202323
7 201921
8 201812
9 20108
10 20237
11 20024

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 341 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), CAR-T cell therapy research (2 papers), Bone Metabolism and Diseases (2 papers), vaccines and immunoinformatics approaches (2 papers), Ocular Disorders and Treatments (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Immunology (175 citations), Cancer Research (48 citations), Oncology (85 citations), Orthopedics and Sports Medicine (25 citations) and Molecular Biology (147 citations). Tejas Kadakia has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Alfred Singer, Terry I. Guinter, Amala Alag, Richard C. Schwartz, Laura R. McCabe, Ruth Etzensperger, Motoko Y. Kimura, Susan O. Sharrow, Tom M. McCaughtry and Leonid A. Pobezinsky. Their work appears in journals such as Nature Immunology, Nature Communications, Journal of Cellular Physiology, The Journal of Experimental Medicine and Journal for ImmunoTherapy of Cancer.

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.

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