David N. Brown
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Oncology top 10%
Papers in
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- Cancer Genomics and Diagnostics 11
-
- Genetic factors in colorectal cancer 9
- Co-authors
- Collin S. MacCartyBritta WeigeltJorge S. Reis‐FilhoChristos SotiriouChristine DesmedtMartine PiccartDenis LarsimontDebora Fumagalli
- Journals
- Histopathology (5 papers)Annals of Oncology (4 papers)npj Breast Cancer (4 papers)Cancer Research (4 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesBelgiumItaly
In The Last Decade
David N. Brown
43 papers receiving 1000 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 342
- Oncology 265
- Obstetrics and Gynecology 63
- Dermatology 65
- Pathology and Forensic Medicine 128
Countries citing papers authored by David N. Brown
This map shows the geographic impact of David N. 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 David N. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David N. Brown more than expected).
Fields of papers citing papers by David N. Brown
This network shows the impact of papers produced by David N. 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 David N. Brown. The network helps show where David N. Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David N. 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 5 | |
| 8 | 2020 | 18 | |
| 9 | 2020 | 40 | |
| 10 | 2020 | 19 | |
| 11 | 2019 | 19 | |
| 12 | 2018 | 22 | |
| 13 | 2018 | 20 | |
| 14 | 2016 | 118 | |
| 15 | 2016 | 1 | |
| 16 | 2016 | 4 | |
| 17 | 2015 | 24 | |
| 18 | 2015 | 1 | |
| 19 | 2014 | 42 | |
| 20 | 2014 | 16 |
About David N. Brown
David N. Brown is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Dermatology and Immunology and Allergy, having authored 46 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Genetic factors in colorectal cancer (9 papers), BRCA gene mutations in cancer (6 papers), HER2/EGFR in Cancer Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cancer and Skin Lesions (4 papers), DNA Repair Mechanisms (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Cancer Research (342 citations), Oncology (265 citations), Obstetrics and Gynecology (63 citations), Dermatology (65 citations) and Pathology and Forensic Medicine (128 citations). David N. Brown has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Collin S. MacCarty, Britta Weigelt, Jorge S. Reis‐Filho, Christos Sotiriou, Christine Desmedt, Martine Piccart, Denis Larsimont, Debora Fumagalli, Gabriele Zoppoli and Françoise Rothé. Their work appears in journals such as Histopathology, Annals of Oncology, npj Breast Cancer, Cancer Research and Clinical 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.