Ken Brown

2.6k citations
16 papers · 2.2k indexed · 1 hit paper · h-index 12

Impact in

Papers in

Ken Brown

16 papers receiving 2.1k citations

Hit Papers

Carcinogen-specific mutation and amplification of Ha-ras during mouse skin carcinogenesis 1986 · 736 citations
7361986202619992012200400600

Peers

Ken Brown
Comparison fields: 5 of 94
  • Cancer Research 493
  • Oncology 862
  • Molecular Biology 1.5k
  • Cell Biology 306
  • Dermatology 134
Replace Steve Carbajal with:
Steve Carbajal United States
Antje Menssen Germany
Ricardo Sánchez‐Prieto Spain
Frauke Bataille Germany
Jeffrey H. Albrecht United States
Kathleen H. Goss United States
Miriam Erlacher Germany
Qimin Zhan United States
Kay E. Gurley United States
N East United Kingdom
Ken Brown relative to Steve Carbajal United States Steve Carbajal's profile →
Citations per field
00.5×1.5×
Steve Carbajal · 1×
Citations per year

Countries citing papers authored by Ken Brown

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ken Brown Line = papers co-authored together Ken Brown links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200788
2 2004316
3
Decreased focal adhesion kinase suppresses papilloma formation during experimental mouse skin carcinogenesis.
200136
4 1998131
5 199829
6 1998316
7 199515
8 199540
9 199563
10 19947
11 19945
12 19928
13 19895
14 1988331
15 198855
16
Carcinogen-specific mutation and amplification of Ha-ras during mouse skin carcinogenesis
Hit paper breakdown →
1986736

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026