J.B. Brown
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions
Papers in
-
- Protein Structure and Dynamics 6
- Bioinformatics and Genomic Networks 3
- Genetics, Bioinformatics, and Biomedical Research 3
- Receptor Mechanisms and Signaling 2
- Metabolomics and Mass Spectrometry Studies 2
-
- Computational Drug Discovery Methods 12
- Co-authors
- Yasushi Okuno (10 shared papers)Daniel Reker (3 shared papers)Toshiyuki Sakaeda (3 shared papers)Kaori Kadoyama (3 shared papers)Gisbert Schneider (1 shared paper)Tatsuya Akutsu (3 shared papers)Susan L. Barrett (2 shared papers)L. F. Blackwell (1 shared paper)
- Journals
- Scientific Reports (3 papers)International Journal of Medical Sciences (2 papers)Journal of Endocrinology (2 papers)Future Medicinal Chemistry (2 papers)Gynecologic Oncology (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
J.B. Brown
32 papers receiving 907 citations
Peers
Comparison fields: 5 of 118
- Reproductive Medicine 134
- Toxicology 42
- Computational Theory and Mathematics 217
- Agronomy and Crop Science 74
- Obstetrics and Gynecology 38
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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 103 | |
| 2 | 2011 | 76 | |
| 3 | 2017 | 76 | |
| 4 | 1990 | 74 | |
| 5 | 1969 | 72 | |
| 6 | 2018 | 68 | |
| 7 | 2012 | 58 | |
| 8 | 1977 | 57 | |
| 9 | 2014 | 52 | |
| 10 | 2019 | 43 | |
| 11 | 2015 | 37 | |
| 12 | 2016 | 28 | |
| 13 | 2014 | 27 | |
| 14 | 2009 | 25 | |
| 15 | 1972 | 20 | |
| 16 | 2020 | 19 | |
| 17 | 2013 | 18 | |
| 18 | 2014 | 17 | |
| 19 | 2010 | 15 | |
| 20 | Multiple methods for protein side chain packing using maximum weight cliques. | 2006 | 14 |
About J.B. Brown
J.B. Brown is a scholar working on Molecular Biology, Computational Theory and Mathematics, Reproductive Medicine, Cancer Research and Materials Chemistry, having authored 33 papers that have together received 962 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Protein Structure and Dynamics (6 papers), Ovarian cancer diagnosis and treatment (3 papers), Bioinformatics and Genomic Networks (3 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Receptor Mechanisms and Signaling (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Reproductive Medicine (134 citations), Toxicology (42 citations), Computational Theory and Mathematics (217 citations), Agronomy and Crop Science (74 citations) and Obstetrics and Gynecology (38 citations). J.B. Brown has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yasushi Okuno, Daniel Reker, Toshiyuki Sakaeda, Kaori Kadoyama, Gisbert Schneider, Tatsuya Akutsu, Susan L. Barrett, L. F. Blackwell, Petra Schneider and N. W. MOORE. Their work appears in journals such as Scientific Reports, International Journal of Medical Sciences, Journal of Endocrinology, Future Medicinal Chemistry and Gynecologic Oncology.
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.