K. Brown

1.1k citations
13 papers · 917 indexed · h-index 9
    • Carcinogens and Genotoxicity Assessment 2
    • Cancer Genomics and Diagnostics 2
  • Oncology top 10%
    • Cancer-related Molecular Pathways 6
    • Pancreatic and Hepatic Oncology Research 1
  • Cell Biology top 10%
    • RNA modifications and cancer 3
    • RNA and protein synthesis mechanisms 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Cell death mechanisms and regulation 1

K. Brown

13 papers receiving 888 citations

Peers

K. Brown
Comparison fields: 5 of 84
  • Cancer Research 207
  • Oncology 359
  • Dermatology 85
  • Cell Biology 157
  • Molecular Biology 554
Replace Louise Smith with:
Louise Smith Australia
Deborah I. Barragan United States
Amy Rose United States
Dirk Kieback Germany
Sam D. Molyneux Canada
Jim McBride United States
Mary Peavey United States
Maria Teresa Landi United States
Beth O. Van Emburgh United States
F. Alameda Spain
K. Brown relative to Louise Smith Australia Louise Smith's profile →
Citations per field
00.5×3.1×
Louise Smith · 1×
Citations per year

Countries citing papers authored by K. Brown

Since Specialization
Citations

This map shows the geographic impact of K. 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 K. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Brown more than expected).

Fields of papers citing papers by K. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. 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 K. Brown. The network helps show where K. Brown may publish in the future.

Co-authorship network

The 25 scholars most cited alongside K. 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 K. Brown Line = papers co-authored together K. Brown links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200353
2 199415
3 19935
4 19911
5 199156
6 1990233
7 1990238
8 198922
9
Initiation of skin carcinogenesis can occur by induction of carcinogen-specific point mutations in the Harvey-ras gene.
19891
10
Molecular analysis of chemical carcinogenesis in the skin.
198820
11 1986209
12 19865
13 198559

About K. Brown

K. Brown is a scholar working on Cancer Research, Oncology and Urology, having authored 13 papers that have together received 917 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), RNA modifications and cancer (3 papers), Carcinogens and Genotoxicity Assessment (2 papers), RNA and protein synthesis mechanisms (2 papers), Cancer Genomics and Diagnostics (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Cancer Research (207 citations), Oncology (359 citations) and Dermatology (85 citations). K. Brown has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Allan Balmain, Albrecht Buchmann, Allan Balmain, Martin Ramsden, Miguel Quintanilla, Bernard Bailleul, Manfred Blessing, Stephen John White, José L. Jorcano and M. Azim Surani. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences, Progress in Histochemistry and Cytochemistry, Journal of Biological Chemistry and Recent results in cancer research.

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.

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