Abhinav Seth

703 citations
9 papers · 581 · h-index 9

Impact in

    • Cell Adhesion Molecules Research
  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • T-cell and B-cell Immunology 6
    • Protein Kinase Regulation and GTPase Signaling 2
    • Signaling Pathways in Disease 2

Abhinav Seth

9 papers receiving 575 citations

Peers

Abhinav Seth
Comparison fields: 5 of 63
  • Immunology and Allergy 134
  • Immunology 269
  • Cell Biology 200
  • Biophysics 43
  • Molecular Biology 213
Replace Itoro Akpan with:
Itoro Akpan United States
Désirée Spiering United States
May Dang-Lawson Canada
Meredith H. Shaffer United States
Assou El‐Battari France
Caitlin M. Sorensen United States
Jeff Wyckoff United States
Victor McPherson Canada
Arkadiusz Welman United Kingdom
Mercedes Rey Spain
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Citations per field
00.5×2.7×
Itoro Akpan · 1×
Citations per year

Countries citing papers authored by Abhinav Seth

Since Specialization
Citations

This map shows the geographic impact of Abhinav Seth'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 Abhinav Seth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Seth more than expected).

Fields of papers citing papers by Abhinav Seth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abhinav Seth. 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 Abhinav Seth. The network helps show where Abhinav Seth may publish in the future.

Co-authors

The 25 scholars most cited alongside Abhinav Seth, 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 Abhinav Seth Line = papers co-authored together Abhinav Seth links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2001140
2 2006112
3 2003106
4 201756
5 200349
6 200647
7 200234
8 201928
9 20239

About Abhinav Seth

Abhinav Seth is a scholar working on Immunology, Molecular Biology, Oncology, Immunology and Allergy and Rheumatology, having authored 9 papers that have together received 581 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Cell Adhesion Molecules Research (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Cellular Mechanics and Interactions (2 papers), CAR-T cell therapy research (2 papers), Cellular transport and secretion (2 papers), Signaling Pathways in Disease (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Immunology and Allergy (134 citations), Immunology (269 citations), Cell Biology (200 citations), Biophysics (43 citations) and Molecular Biology (213 citations). Abhinav Seth has collaborated with scholars based in United States, Croatia and Canada. Frequent co-authors include Michael K. Rosen, Chinatsu Otomo, Janis K. Burkhardt, Christine M. Labno, Joe Craft, Judy L. Cannon, Katherine A. Siminovitch, Takanori Otomo, Helen L. Yin and Carol M. Lewis. Their work appears in journals such as The Journal of Immunology, Immunity, Current Biology, Current Opinion in Immunology and Biochemistry.

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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