Brian L. Kelsall
- Immunology top 0.1%
- Molecular Biology top 5%
- Genetics top 1%
- Epidemiology top 2%
- Infectious Diseases top 1%
- Co-authors
- Warren StroberAkiko IwasakiIvan J. FussThomas MarthE. StüberMF NeurathJianping HeAymeric Rivollier
- Topics
- Immune Cell Function and Interaction (48 papers)Immunotherapy and Immune Responses (37 papers)T-cell and B-cell Immunology (36 papers)
- Cited by
- ImmunologyVirologyEndocrinology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Medicine
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Brian L. Kelsall
103 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 6.6k
- Molecular Biology 1.8k
- Genetics 1.5k
- Epidemiology 1.3k
- Infectious Diseases 1.1k
Countries citing papers authored by Brian L. Kelsall
This map shows the geographic impact of Brian L. Kelsall'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 Brian L. Kelsall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian L. Kelsall more than expected).
Fields of papers citing papers by Brian L. Kelsall
This network shows the impact of papers produced by Brian L. Kelsall. 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 Brian L. Kelsall. The network helps show where Brian L. Kelsall may publish in the future.
Co-authorship network of co-authors of Brian L. Kelsall
This figure shows the co-authorship network connecting the top 25 collaborators of Brian L. Kelsall. A scholar is included among the top collaborators of Brian L. Kelsall 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 Brian L. Kelsall. Brian L. Kelsall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 24 | |
| 3 | 124 | |
| 4 | 49 | |
| 5 | 93 | |
| 6 | 224 | |
| 7 | 0 | |
| 8 | 72 | |
| 9 | 82 | |
| 10 | 0 | |
| 11 | 124 | |
| 12 | 69 | |
| 13 | 17 | |
| 14 | 38 | |
| 15 | 323 | |
| 16 | 139 | |
| 17 | 24 | |
| 18 | 294 | |
| 19 | Antibodies to interleukin 12 abrogate established experimental colitis in mice.breakdown → | 1151 |
| 20 | 7 |
About Brian L. Kelsall
Brian L. Kelsall is a scholar working on Immunology, Virology and Parasitology, having authored 107 papers that have together received 9.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (48 papers), Immunotherapy and Immune Responses (37 papers) and T-cell and B-cell Immunology (36 papers). The work is most often cited by research in Immunology (6.6k citations), Virology (633 citations) and Endocrinology (434 citations). Brian L. Kelsall has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Warren Strober, Akiko Iwasaki, Ivan J. Fuss, Thomas Marth, E. Stüber, MF Neurath, Jianping He, Aymeric Rivollier, Markus F. Neurath and Michael Braun. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.
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.