Tejas Kadakia

485 citations
11 papers · 379 · 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

    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 2
    • CAR-T cell therapy research 2

Tejas Kadakia

11 papers receiving 377 citations

Peers

Tejas Kadakia
Comparison fields: 5 of 60
  • Immunology 189
  • Cancer Research 45
  • Oncology 80
  • Orthopedics and Sports Medicine 24
  • Molecular Biology 147
Replace Mikoto Yoshida with:
Mikoto Yoshida Japan
Nathalie Amiable Canada
Pauline May Germany
Noritaka Saeki Japan
Masahiro Kira Japan
Bente Kühn Madsen Denmark
Emilia Furmaniak-Kazmierczak Canada
Toshiko Eguchi Japan
Alka C. Veerisetty United States
Tuanmin Yang China
Tejas Kadakia relative to Mikoto Yoshida Japan Mikoto Yoshida's profile →
Citations per field
00.5×2×4×5.8×
Mikoto Yoshida · 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 2015125
2 200860
3 201934
4 201734
5 200433
6 202332
7 201926
8 201812
9 20109
10 20239
11 20025

About Tejas Kadakia

Tejas Kadakia is a scholar working on Immunology, Oncology, Molecular Biology, Orthopedics and Sports Medicine and Rheumatology, having authored 11 papers that have together received 379 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (2 papers), vaccines and immunoinformatics approaches (2 papers), Immunotherapy and Immune Responses (2 papers), Bone Metabolism and Diseases (2 papers), Adrenal Hormones and Disorders (1 paper) and Sphingolipid Metabolism and Signaling (1 paper). The work is most often cited by research in Immunology (189 citations), Cancer Research (45 citations), Oncology (80 citations), Orthopedics and Sports Medicine (24 citations) and Molecular Biology (147 citations). Tejas Kadakia has collaborated with scholars based in United States, Japan and Poland. Frequent co-authors include Alfred Singer, Terry I. Guinter, Amala Alag, Richard Carroll Schwartz, Ruth Etzensperger, Laura R. McCabe, Susan O. Sharrow, Motoko Yagi Kimura, Lionel Feigenbaum and Leonid A. Pobezinsky. Their work appears in journals such as Nature Immunology, Experimental Cell Research, Journal of Cellular Physiology, Science Advances and Nature Communications.

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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