James Brown

2.9k citations
42 papers · 1.8k · h-index 23

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Glycosylation and Glycoproteins Research
    • Protein Structure and Dynamics
    • Metabolism, Diabetes, and Cancer

Papers in

James Brown

41 papers receiving 1.7k citations

Peers

James Brown
Comparison fields: 5 of 126
  • Immunology 376
  • Molecular Biology 831
  • Immunology and Allergy 68
  • Endocrinology 57
  • Endocrinology, Diabetes and Metabolism 165
Replace Santanu Datta with:
Santanu Datta India
Shigeki Kamitani Japan
Junyu Xiao China
Jon C. D. Houtman United States
Cécile Arrieumerlou France
Ana González-Garcı́a Spain
Koichiro Kishi Japan
Václav Veverka Czechia
Patrick Van Deŕ Smissen Belgium
Bertrand Raynal France
James Brown relative to Santanu Datta India Santanu Datta's profile →
Citations per field
00.5×3.7×
Santanu Datta · 1×
Citations per year

Countries citing papers authored by James Brown

Since Specialization
Citations

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

Fields of papers citing papers by James Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005212
2 2007139
3 2008116
4 2005104
5 200791
6 200984
7 200283
8 200377
9 202264
10 200862
11 198860
12 200956
13 200655
14 202054
15 202252
16 200651
17 202247
18 200841
19 201440
20 201940

About James Brown

James Brown is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology, Immunology and Materials Chemistry, having authored 42 papers that have together received 1.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (8 papers), Immune Cell Function and Interaction (6 papers), CAR-T cell therapy research (6 papers), Enzyme Structure and Function (5 papers), Glycosylation and Glycoproteins Research (4 papers), Bacterial biofilms and quorum sensing (3 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Immunology (376 citations), Molecular Biology (831 citations), Immunology and Allergy (68 citations), Endocrinology (57 citations) and Endocrinology, Diabetes and Metabolism (165 citations). James Brown has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include E. Yvonne Jones, Briony E. Forbes, Karl Harlos, Robert J.C. Gilbert, Christian Siebold, Joanne E. Nettleship, Thomas S. Walter, Arie Geerlof, Matthew R. Groves and Christopher A. O’Callaghan. Their work appears in journals such as The EMBO Journal, Cancers, Journal of Biological Chemistry, Langmuir and Journal of Applied Crystallography.

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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