J.B. Brown
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
Papers in
-
- Computational Drug Discovery Methods 14
-
- Protein Structure and Dynamics 6
- Genetics, Bioinformatics, and Biomedical Research 3
- Metabolomics and Mass Spectrometry Studies 3
- Bioinformatics and Genomic Networks 3
- Co-authors
- Yasushi Okuno (11 shared papers)Daniel Reker (3 shared papers)Toshiyuki Sakaeda (3 shared papers)Kaori Kadoyama (3 shared papers)Petra Schneider (1 shared paper)Gisbert Schneider (1 shared paper)Tatsuya Akutsu (3 shared papers)N. W. MOORE (2 shared papers)
- Journals
- Scientific Reports (3 papers)Future Medicinal Chemistry (3 papers)Journal of Endocrinology (2 papers)International Journal of Medical Sciences (2 papers)Stem Cell Reports (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
J.B. Brown
35 papers receiving 1.5k citations
J.B. Brown's Hit Papers
Peers
Comparison fields: 5 of 133
- Cancer Research 266
- Reproductive Medicine 140
- Computational Theory and Mathematics 289
- Toxicology 45
- Molecular Biology 643
Countries citing papers authored by J.B. Brown
This map shows the geographic impact of J.B. 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 J.B. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.B. Brown more than expected).
Fields of papers citing papers by J.B. Brown
This network shows the impact of papers produced by J.B. 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 J.B. Brown. The network helps show where J.B. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside J.B. 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Age-related remodelling of oesophageal epithelia by mutated cancer drivers Hit paper breakdown → | 2018 | 469 |
| 2 | 2017 | 110 | |
| 3 | 2021 | 110 | |
| 4 | 2017 | 84 | |
| 5 | 2011 | 82 | |
| 6 | 1990 | 74 | |
| 7 | 1969 | 72 | |
| 8 | 2018 | 72 | |
| 9 | 2012 | 58 | |
| 10 | 1977 | 57 | |
| 11 | 2014 | 53 | |
| 12 | 2019 | 43 | |
| 13 | 2015 | 39 | |
| 14 | 2016 | 28 | |
| 15 | 2014 | 27 | |
| 16 | 2009 | 25 | |
| 17 | 2020 | 20 | |
| 18 | 1972 | 20 | |
| 19 | 2013 | 18 | |
| 20 | 2014 | 17 |
About J.B. Brown
J.B. Brown is a scholar working on Computational Theory and Mathematics, Molecular Biology, Reproductive Medicine, Cancer Research and Agronomy and Crop Science, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Protein Structure and Dynamics (6 papers), Ovarian cancer diagnosis and treatment (3 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Bioinformatics and Genomic Networks (3 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (266 citations), Reproductive Medicine (140 citations), Computational Theory and Mathematics (289 citations), Toxicology (45 citations) and Molecular Biology (643 citations). J.B. Brown has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yasushi Okuno, Daniel Reker, Toshiyuki Sakaeda, Kaori Kadoyama, Petra Schneider, Gisbert Schneider, Tatsuya Akutsu, N. W. MOORE, Alexandre A. Varnek and Harold Bourne. Their work appears in journals such as Scientific Reports, Future Medicinal Chemistry, Journal of Endocrinology, International Journal of Medical Sciences and Stem Cell Reports.
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.