Ken Brown
Impact in
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
-
- Epigenetics and DNA Methylation 4
- DNA Repair Mechanisms 1
- Glycosylation and Glycoproteins Research 1
- Oncology 7
- Cancer-related Molecular Pathways 6
- Co-authors
- Allan Balmain (9 shared papers)Martin Ramsden (2 shared papers)Miguel Quintanilla (1 shared paper)Sheila Bryson (2 shared papers)Colin J. Henderson (1 shared paper)Austin Smith (1 shared paper)Jan Ure (1 shared paper)C. Roland Wolf (1 shared paper)
- Journals
- Molecular Carcinogenesis (3 papers)Nature (3 papers)Current Biology (1 paper)Advances in cancer research (1 paper)Toxicological Sciences (1 paper)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Ken Brown
16 papers receiving 2.1k citations
Ken Brown's Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 479
- Oncology 829
- Molecular Biology 1.5k
- Cell Biology 291
- Dermatology 130
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-authors
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 | Carcinogen-specific mutation and amplification of Ha-ras during mouse skin carcinogenesis Hit paper breakdown → | 1986 | 738 |
| 2 | 1988 | 332 | |
| 3 | 2004 | 317 | |
| 4 | 1998 | 315 | |
| 5 | 1998 | 132 | |
| 6 | 2007 | 88 | |
| 7 | 1995 | 63 | |
| 8 | 1988 | 55 | |
| 9 | 1995 | 40 | |
| 10 | Decreased focal adhesion kinase suppresses papilloma formation during experimental mouse skin carcinogenesis. | 2001 | 36 |
| 11 | 1998 | 29 | |
| 12 | 1995 | 14 | |
| 13 | 1992 | 8 | |
| 14 | 1994 | 7 | |
| 15 | 1994 | 5 | |
| 16 | 1989 | 5 |
About Ken Brown
Ken Brown is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics 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), Immunotherapy and Immune Responses (2 papers), Cancer Research and Treatments (2 papers), DNA Repair Mechanisms (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (479 citations), Oncology (829 citations), Molecular Biology (1.5k citations), Cell Biology (291 citations) and Dermatology (130 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, Colin J. Henderson, Austin Smith, Jan Ure, C. Roland Wolf, Jian‐Hua Mao and Keiichi I. Nakayama. Their work appears in journals such as Molecular Carcinogenesis, Nature, Current Biology, Advances in cancer research and Toxicological Sciences.
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.