C.S. Brown
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Genetic diversity and population structure
- Forensic and Genetic Research
Papers in
- Genetics 3
- Genetic Associations and Epidemiology 2
- Genetic diversity and population structure 1
- Genomic variations and chromosomal abnormalities 1
- Evolution and Genetic Dynamics 1
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- Prenatal Screening and Diagnostics 1
- Co-authors
- Ray L. White (1 shared paper)Leslie Jerominski (1 shared paper)David F. Barker (1 shared paper)Mark Leppert (1 shared paper)David Timothy Bishop (1 shared paper)Hidde L. Ploegh (1 shared paper)Gerhard H. A. Seemann (1 shared paper)Peter S. Harper (2 shared papers)
- Journals
- The Journal of Immunology (1 paper)The Lancet (1 paper)Human Genetics (1 paper)Nature (1 paper)Journal of Medical Genetics (1 paper)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
C.S. Brown
7 papers receiving 369 citations
Peers
Comparison fields: 5 of 44
- Genetics 255
- Transplantation 18
- Molecular Biology 119
- Rheumatology 19
- Aging 2
Countries citing papers authored by C.S. Brown
This map shows the geographic impact of C.S. 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 C.S. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.S. Brown more than expected).
Fields of papers citing papers by C.S. Brown
This network shows the impact of papers produced by C.S. 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 C.S. Brown. The network helps show where C.S. Brown may publish in the future.
Co-authors
The 22 scholars most cited alongside C.S. 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
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 279 | |
| 2 | 1986 | 83 | |
| 3 | 1985 | 45 | |
| 4 | 1985 | 9 | |
| 5 | 1983 | 8 | |
| 6 | 1981 | 3 | |
| 7 | 1986 | 2 |
About C.S. Brown
C.S. Brown is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Rheumatology, Molecular Biology and Nuclear Energy and Engineering, having authored 7 papers that have together received 429 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (3 papers), Genetic Associations and Epidemiology (2 papers), Genetic diversity and population structure (1 paper), Genomic variations and chromosomal abnormalities (1 paper), Evolution and Genetic Dynamics (1 paper), Prenatal Screening and Diagnostics (1 paper) and Rheumatoid Arthritis Research and Therapies (1 paper). The work is most often cited by research in Genetics (255 citations), Transplantation (18 citations), Molecular Biology (119 citations), Rheumatology (19 citations) and Aging (2 citations). C.S. Brown has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Ray L. White, Leslie Jerominski, David F. Barker, Mark Leppert, David Timothy Bishop, Hidde L. Ploegh, Gerhard H. A. Seemann, Peter S. Harper, Nick S. T. Thomas and Peter Lees Pearson. Their work appears in journals such as The Journal of Immunology, The Lancet, Human Genetics, Nature and Journal of Medical Genetics.
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.