David M. Gershenson
- Reproductive Medicine top 1%
- Ovarian cancer diagnosis and treatment 9
- Cancer Research top 2%
- Molecular Medicine top 2%
- Oncology top 2%
- Obstetrics and Gynecology top 2%
- Endometrial and Cervical Cancer Treatments 5
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- Angiogenesis and VEGF in Cancer 7
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- Microtubule and mitosis dynamics 3
- Hippo pathway signaling and YAP/TAZ 3
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- Coagulation, Bradykinin, Polyphosphates, and Angioedema 3
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- Immunotherapy and Immune Responses 3
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- Axon Guidance and Neuronal Signaling 3
- Co-authors
- Anil K. SoodAparna A. KamatLiz Y. HanCharles N. LandenYvonne G. LinWilliam M. MerrittRobert L. ColemanSusan K. Lutgendorf
- Journals
- Clinical Cancer Research (7 papers)Cancer Biology & Therapy (5 papers)Gynecologic Oncology (4 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
David M. Gershenson
30 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 113
- Reproductive Medicine 643
- Cancer Research 870
- Molecular Medicine 222
- Oncology 1.1k
- Obstetrics and Gynecology 305
Countries citing papers authored by David M. Gershenson
This map shows the geographic impact of David M. Gershenson'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 M. Gershenson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Gershenson more than expected).
Fields of papers citing papers by David M. Gershenson
This network shows the impact of papers produced by David M. Gershenson. 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 M. Gershenson. The network helps show where David M. Gershenson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David M. Gershenson, 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 | 2025 | 1 | |
| 3 | 2012 | 12 | |
| 4 | 2010 | 322 | |
| 5 | 2010 | 135 | |
| 6 | 2008 | 46 | |
| 7 | 2007 | 149 | |
| 8 | 2006 | 68 | |
| 9 | 2006 | 99 | |
| 10 | 2006 | 83 | |
| 11 | 2006 | 19 | |
| 12 | 2006 | 57 | |
| 13 | 2004 | 87 | |
| 14 | 2004 | 214 | |
| 15 | 2001 | 27 | |
| 16 | 2001 | 31 | |
| 17 | 1995 | 61 | |
| 18 | 1993 | 62 | |
| 19 | 1991 | 14 | |
| 20 | 1989 | 99 |
About David M. Gershenson
David M. Gershenson is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Immunology and Allergy, having authored 31 papers that have together received 3.4k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (9 papers), Angiogenesis and VEGF in Cancer (7 papers), Endometrial and Cervical Cancer Treatments (5 papers), Microtubule and mitosis dynamics (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Immunotherapy and Immune Responses (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Axon Guidance and Neuronal Signaling (3 papers). The work is most often cited by research in Reproductive Medicine (643 citations), Cancer Research (870 citations) and Molecular Medicine (222 citations). David M. Gershenson has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Anil K. Sood, Aparna A. Kamat, Liz Y. Han, Charles N. Landen, Yvonne G. Lin, William M. Merritt, Robert L. Coleman, Susan K. Lutgendorf, Whitney A. Spannuth and Mavis S. Fletcher. Their work appears in journals such as Clinical Cancer Research, Cancer Biology & Therapy, Gynecologic Oncology, American Journal of Obstetrics and Gynecology and Cancer.
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.