David N. Brown

5.3k citations
46 papers · 1.1k · h-index 20

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer, Lipids, and Metabolism
    • Breast Cancer Treatment Studies
  • Oncology top 10%

Papers in

David N. Brown

43 papers receiving 1.0k citations

Peers

David N. Brown
Comparison fields: 5 of 65
  • Cancer Research 288
  • Oncology 224
  • Pathology and Forensic Medicine 114
  • Dermatology 54
  • Obstetrics and Gynecology 44
Replace Tsui‐Lien Mao with:
Tsui‐Lien Mao Taiwan
Elena Leonardi Italy
A. Michael Bilous Australia
Iris Tischoff Germany
Guidalberto Fabris Italy
Sung‐Im Do South Korea
Fernando Augusto Soares Brazil
D Aldovini Italy
Olivier Giger United Kingdom
Magdalena Chechlińska Poland
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Citations per field
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Tsui‐Lien Mao · 1×
Citations per year

Countries citing papers authored by David N. Brown

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015173
2 2016124
3 200970
4 196562
5
Ischemic colitis related to cocaine abuse.
199443
6 202042
7 201442
8 201337
9
Tumor infiltrating lymphocytes (TILs) indicate trastuzumab benefit in early-stage HER2-positive breast cancer (HER2+ BC)
201328
10 201726
11 201924
12 201924
13 201524
14 201823
15 201922
16 202022
17 202021
18 201921
19 201820
20 201920

About David N. Brown

David N. Brown is a scholar working on Cancer Research, Molecular Biology, Oncology, Pathology and Forensic Medicine and Genetics, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Genetic factors in colorectal cancer (8 papers), BRCA gene mutations in cancer (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), HER2/EGFR in Cancer Research (4 papers), DNA Repair Mechanisms (3 papers), Cervical Cancer and HPV Research (3 papers) and Cancer and Skin Lesions (3 papers). The work is most often cited by research in Cancer Research (288 citations), Oncology (224 citations), Pathology and Forensic Medicine (114 citations), Dermatology (54 citations) and Obstetrics and Gynecology (44 citations). David N. Brown has collaborated with scholars based in United States, Belgium and Italy. Frequent co-authors include Collin S. MacCarty, Britta Weigelt, Christos Sotiriou, Jorge S. Reis‐Filho, Christine Desmedt, Françoise Rothé, Gabriele Zoppoli, Martine Piccart, Denis Larsimont and Debora Fumagalli. Their work appears in journals such as Histopathology, Cancer Research, npj Breast Cancer, Annals of Oncology 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.

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