Ashwin Jainarayanan

1.2k citations
17 papers · 194 · h-index 6

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Fungal and yeast genetics research 2
    • Retinal Development and Disorders 2
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2

Ashwin Jainarayanan

16 papers receiving 194 citations

Peers

Ashwin Jainarayanan
Comparison fields: 5 of 64
  • Immunology 60
  • Oncology 49
  • Cell Biology 18
  • Molecular Biology 66
  • Biochemistry 7
Replace Yumi Ueda with:
Yumi Ueda Japan
Lu Huang China
Georgios Mermelekas Sweden
Mike Daley United States
Baochen Chong China
Sally Esmail Canada
Kevin Leandro Portugal
Chrysanthi Ainali United Kingdom
Sean D. McKenna United States
Lisa Bamber United Kingdom
Ashwin Jainarayanan relative to Yumi Ueda Japan Yumi Ueda's profile →
Citations per field
00.5×2×3×4×4.5×
Yumi Ueda · 1×
Citations per year

Countries citing papers authored by Ashwin Jainarayanan

Since Specialization
Citations

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

Fields of papers citing papers by Ashwin Jainarayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202284
2 202129
3 202022
4 202119
5 20236
6 20205
7 20235
8 20204
9 20244
10 20184
11 20194
12 20233
13 20232
14 20241
15 20231
16 20251
17 20250

About Ashwin Jainarayanan

Ashwin Jainarayanan is a scholar working on Molecular Biology, Immunology, Genetics, Oncology and Computational Theory and Mathematics, having authored 17 papers that have together received 194 indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (2 papers), Fungal and yeast genetics research (2 papers), T-cell and B-cell Immunology (2 papers), Computational Drug Discovery Methods (2 papers), Immune Cell Function and Interaction (2 papers), Retinal Development and Disorders (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper) and Cholinesterase and Neurodegenerative Diseases (1 paper). The work is most often cited by research in Immunology (60 citations), Oncology (49 citations), Cell Biology (18 citations), Molecular Biology (66 citations) and Biochemistry (7 citations). Ashwin Jainarayanan has collaborated with scholars based in United Kingdom, India and Germany. Frequent co-authors include Michael L. Dustin, Steve R. Roffler, Shambhu Yadav, Anand Bachhawat, Sainitin Donakonda, Enas Abu‐Shah, Rachael Bashford-Rogers, Alistair Easton, Samir K. Brahmachari and David Ahern. Their work appears in journals such as Journal of Biosciences, Biochemical Journal, iScience, Biophysical Journal and Immune Network.

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.

Explore authors with similar magnitude of impact