Ken Brown
Impact in
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
- Oncology 7
- Cancer-related Molecular Pathways 6
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- Skin and Cellular Biology Research 1
- Co-authors
- Allan BalmainMartin RamsdenMiguel QuintanillaSheila BrysonC. Roland WolfJan UreJian‐Hua MaoColin J. Henderson
- Journals
- Molecular Carcinogenesis (3 papers)Nature (3 papers)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)Toxicological Sciences (1 paper)Current Biology (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Ken Brown
16 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Cancer Research 493
- Oncology 862
- Molecular Biology 1.5k
- Cell Biology 306
- Dermatology 134
Countries citing papers authored by Ken Brown
This map shows the geographic impact of Ken 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 Ken Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Brown more than expected).
Fields of papers citing papers by Ken Brown
This network shows the impact of papers produced by Ken 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 Ken Brown. The network helps show where Ken Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ken 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 | 2007 | 88 | |
| 2 | 2004 | 316 | |
| 3 | Decreased focal adhesion kinase suppresses papilloma formation during experimental mouse skin carcinogenesis. | 2001 | 36 |
| 4 | 1998 | 131 | |
| 5 | 1998 | 29 | |
| 6 | 1998 | 316 | |
| 7 | 1995 | 15 | |
| 8 | 1995 | 40 | |
| 9 | 1995 | 63 | |
| 10 | 1994 | 7 | |
| 11 | 1994 | 5 | |
| 12 | 1992 | 8 | |
| 13 | 1989 | 5 | |
| 14 | 1988 | 331 | |
| 15 | 1988 | 55 | |
| 16 | Carcinogen-specific mutation and amplification of Ha-ras during mouse skin carcinogenesis Hit paper breakdown → | 1986 | 736 |
About Ken Brown
Ken Brown is a scholar working on Oncology, Cell Biology, Biotechnology, Dermatology and Cancer Research, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Epigenetics and DNA Methylation (4 papers), Animal Genetics and Reproduction (3 papers), Cancer Research and Treatments (2 papers), Immunotherapy and Immune Responses (2 papers), Glycosylation and Glycoproteins Research (1 paper), Skin and Cellular Biology Research (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Cancer Research (493 citations), Oncology (862 citations), Molecular Biology (1.5k citations), Cell Biology (306 citations) and Dermatology (134 citations). Ken Brown has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Allan Balmain, Martin Ramsden, Miguel Quintanilla, Sheila Bryson, C. Roland Wolf, Jan Ure, Jian‐Hua Mao, Colin J. Henderson, Austin Smith and Reyno Delrosario. Their work appears in journals such as Molecular Carcinogenesis, Nature, Philosophical Transactions of the Royal Society B Biological Sciences, Toxicological Sciences and Current Biology.
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.