David H. Gorski
- Cancer Research top 1%
- Breast Cancer Treatment Studies 7
- Cancer, Hypoxia, and Metabolism 6
- Molecular Biology top 5%
- Angiogenesis and VEGF in Cancer 14
- Congenital heart defects research 5
- Ubiquitin and proteasome pathways 4
- Oncology top 5%
- HER2/EGFR in Cancer Research 4
- Immunology and Allergy top 5%
- Hepatology top 5%
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- Cancer, Stress, Anesthesia, and Immune Response 7
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- Breast Lesions and Carcinomas 5
- Co-authors
- Yun ChenHelena J. MauceriDonald KüfeMichael A. BeckettKenneth WalshRabih M. SalloumRalph R. WeichselbaumSaraswathy Seetharam
- Journals
- Nature (1 paper)New England Journal of Medicine (1 paper)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesArgentinaMongolia
In The Last Decade
David H. Gorski
62 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Cancer Research 1.4k
- Molecular Biology 2.2k
- Oncology 878
- Immunology and Allergy 164
- Hepatology 160
Countries citing papers authored by David H. Gorski
This map shows the geographic impact of David H. Gorski'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 H. Gorski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David H. Gorski more than expected).
Fields of papers citing papers by David H. Gorski
This network shows the impact of papers produced by David H. Gorski. 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 H. Gorski. The network helps show where David H. Gorski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David H. Gorski, 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 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2020 | 10 | |
| 5 | 2020 | 11 | |
| 6 | 2018 | 7 | |
| 7 | 2016 | 18 | |
| 8 | 2016 | 18 | |
| 9 | 2015 | 2 | |
| 10 | 2014 | 62 | |
| 11 | 2014 | 51 | |
| 12 | 2013 | 31 | |
| 13 | Cell phones and cancer | 2011 | 1 |
| 14 | 2011 | 102 | |
| 15 | 2006 | 31 | |
| 16 | The Future of the Digital Millennium Copyright Act (DMCA) Subpoena Power on the Internet in Light of the Verizon Cases | 2005 | 1 |
| 17 | 2003 | 55 | |
| 18 | 2003 | 54 | |
| 19 | 1997 | 147 | |
| 20 | Cloning and sequence analysis of homeobox transcription factor cDNAs with an inosine-containing probe. | 1994 | 13 |
About David H. Gorski
David H. Gorski is a scholar working on Cancer Research, Oncology and Psychiatry and Mental health, having authored 65 papers that have together received 3.7k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (14 papers), Cancer, Stress, Anesthesia, and Immune Response (7 papers), Breast Cancer Treatment Studies (7 papers), Cancer, Hypoxia, and Metabolism (6 papers), Congenital heart defects research (5 papers), Breast Lesions and Carcinomas (5 papers), Ubiquitin and proteasome pathways (4 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Cancer Research (1.4k citations), Molecular Biology (2.2k citations) and Oncology (878 citations). David H. Gorski has collaborated with scholars based in United States, Argentina and Mongolia. Frequent co-authors include Yun Chen, Helena J. Mauceri, Donald Küfe, Michael A. Beckett, Kenneth Walsh, Rabih M. Salloum, Ralph R. Weichselbaum, Saraswathy Seetharam, Douglas P. Calvin and Danielle M. Hari. Their work appears in journals such as Nature, New England Journal of Medicine and Journal of Biological Chemistry.
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.