William R. Brown
- Molecular Biology top 1%
- Genetics top 0.5%
- Immunology top 1%
- Plant Science top 1%
- Surgery top 2%
- Co-authors
- Paul K. NakaneThomas Μ. KloppelJ.E. ButlerYoshinari IsobeVeronica J. BuckleAbigail WilliamsDennis J. AhnenAdrian Bird
- Topics
- Monoclonal and Polyclonal Antibodies Research (25 papers)Glycosylation and Glycoproteins Research (24 papers)Chromosomal and Genetic Variations (21 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
William R. Brown
169 papers receiving 8.2k citations
Peers
Comparison fields: 5 of 148
- Molecular Biology 4.1k
- Genetics 2.0k
- Immunology 1.7k
- Plant Science 1.4k
- Surgery 1.2k
Countries citing papers authored by William R. Brown
This map shows the geographic impact of William R. 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 William R. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William R. Brown more than expected).
Fields of papers citing papers by William R. Brown
This network shows the impact of papers produced by William R. 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 William R. Brown. The network helps show where William R. Brown may publish in the future.
Co-authorship network of co-authors of William R. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of William R. Brown. A scholar is included among the top collaborators of William R. Brown based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William R. Brown. William R. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 74 | |
| 3 | 13 | |
| 4 | 30 | |
| 5 | 21 | |
| 6 | 161 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 14 | |
| 10 | 17 | |
| 11 | 124 | |
| 12 | 71 | |
| 13 | 258 | |
| 14 | 41 | |
| 15 | 2 | |
| 16 | 6 | |
| 17 | Lymphocyte cell surface glycoproteins which bind to soybean and peanut lectins. | 69 |
| 18 | 1 | |
| 19 | Enterically induced immunologic tolerance. I. Induction of suppressor T lymphoyctes by intragastric administration of soluble proteins. | 187 |
| 20 | Immune synovitis in rabbits. Effects of differing schedules for intra-articular challenge with antigen. | 14 |
About William R. Brown
William R. Brown is a scholar working on Immunology, Gastroenterology and Genetics, having authored 169 papers that have together received 8.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (25 papers), Glycosylation and Glycoproteins Research (24 papers) and Chromosomal and Genetic Variations (21 papers). The work is most often cited by research in Immunology (1.7k citations), Genetics (2.0k citations) and Immunology and Allergy (428 citations). William R. Brown has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Paul K. Nakane, Thomas Μ. Kloppel, J.E. Butler, Yoshinari Isobe, Veronica J. Buckle, Abigail Williams, Dennis J. Ahnen, Adrian Bird, Gudrun Rappold and Howard J. Cooke. Their work appears in journals such as Nature, Science and Cell.
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.