James Brown
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research
- Protein Structure and Dynamics
- Metabolism, Diabetes, and Cancer
Papers in
-
- Glycosylation and Glycoproteins Research 4
- Bacterial biofilms and quorum sensing 3
-
- Growth Hormone and Insulin-like Growth Factors 8
- Co-authors
- E. Yvonne Jones (12 shared papers)Briony E. Forbes (5 shared papers)Robert J.C. Gilbert (4 shared papers)Christian Siebold (3 shared papers)Arie Geerlof (2 shared papers)Matthew R. Groves (2 shared papers)Joanne E. Nettleship (2 shared papers)Karl Harlos (3 shared papers)
- Journals
- Cancers (2 papers)Journal of Biological Chemistry (2 papers)The EMBO Journal (2 papers)Scientific Reports (1 paper)Proteins Structure Function and Bioinformatics (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
James Brown
41 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 129
- Immunology 392
- Molecular Biology 858
- Immunology and Allergy 74
- Endocrinology 62
- Endocrinology, Diabetes and Metabolism 172
Countries citing papers authored by James Brown
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
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.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 211 | |
| 2 | 2007 | 135 | |
| 3 | 2008 | 115 | |
| 4 | 2005 | 103 | |
| 5 | 2007 | 85 | |
| 6 | 2009 | 83 | |
| 7 | 2002 | 83 | |
| 8 | 2003 | 77 | |
| 9 | 2008 | 62 | |
| 10 | 1988 | 60 | |
| 11 | 2022 | 56 | |
| 12 | 2006 | 54 | |
| 13 | 2009 | 53 | |
| 14 | 2006 | 52 | |
| 15 | 2020 | 51 | |
| 16 | 2022 | 48 | |
| 17 | 2022 | 46 | |
| 18 | 2008 | 41 | |
| 19 | 2014 | 40 | |
| 20 | 2019 | 38 |
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 1.7k 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), T-cell and B-cell Immunology (3 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Immunology (392 citations), Molecular Biology (858 citations), Immunology and Allergy (74 citations), Endocrinology (62 citations) and Endocrinology, Diabetes and Metabolism (172 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, Robert J.C. Gilbert, Christian Siebold, Arie Geerlof, Matthew R. Groves, Joanne E. Nettleship, Karl Harlos, Thomas S. Walter and Christopher A. O’Callaghan. Their work appears in journals such as Cancers, Journal of Biological Chemistry, The EMBO Journal, Scientific Reports and Proteins Structure Function and Bioinformatics.
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.