Bini Mathew

1.6k citations
23 papers · 1.2k · h-index 13

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

Bini Mathew

23 papers receiving 1.2k citations

Peers

Bini Mathew
Comparison fields: 5 of 76
  • Immunology 838
  • Oncology 239
  • Pharmacology 127
  • Organic Chemistry 183
  • Toxicology 17
Replace Teruyuki Sakai with:
Teruyuki Sakai Japan
Latha Pathangey United States
Sang Hsu United States
Subhendu Das United States
Charles E. Mazzucco United States
Mathias Rickert United States
Anna Ericsson Sweden
Hsiu‐Ching Chang United States
T Tadakuma Japan
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Bini Mathew relative to Teruyuki Sakai Japan Teruyuki Sakai's profile →
Citations per field
00.5×1.5×2.4×
Teruyuki Sakai · 1×
Citations per year

Countries citing papers authored by Bini Mathew

Since Specialization
Citations

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

Fields of papers citing papers by Bini Mathew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003383
2 2005324
3 2004142
4 200979
5 201049
6 201140
7 201325
8 201623
9 201722
10 202018
11 201718
12 202015
13 200414
14 201810
15 20189
16 20208
17 20068
18 20207
19 20225
20 20235

About Bini Mathew

Bini Mathew is a scholar working on Pharmacology, Organic Chemistry, Molecular Biology, Genetics and Immunology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (8 papers), Estrogen and related hormone effects (6 papers), Synthesis and biological activity (5 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer therapeutics and mechanisms (3 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Immunology (838 citations), Oncology (239 citations), Pharmacology (127 citations), Organic Chemistry (183 citations) and Toxicology (17 citations). Bini Mathew has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Richard R. Schmidt, Vincenzo Cerundolo, Gerd Ritter, Mariolina Salio, Ian F. Hermans, Jonathan D. Silk, Uzi Gileadi, Adrian L. Harris, Robert C. Reynolds and Dawn Shepherd. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, European Journal of Medicinal Chemistry, Journal of Clinical Investigation, ACS Medicinal Chemistry Letters and Tuberculosis.

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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