Douglas A. Levine
Impact in
- Cancer Research top 0.01%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Reproductive Medicine top 0.01%
- Ovarian cancer diagnosis and treatment
Papers in
-
- Ovarian cancer diagnosis and treatment 113
-
- Cancer Genomics and Diagnostics 61
- Cancer-related molecular mechanisms research 29
- Co-authors
- Gad A. Getz (3 shared papers)Scott L. Carter (2 shared papers)Peter W. Laird (2 shared papers)Hui Shen (2 shared papers)Nadeem R. Abu‐Rustum (63 shared papers)Gordon Brent Mills (3 shared papers)Richard R. Barakat (49 shared papers)Kosuke Yoshihara (1 shared paper)
- Journals
- Gynecologic Oncology (99 papers)Nature Communications (23 papers)Cell (14 papers)Cell Reports (14 papers)Nature Genetics (13 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Douglas A. Levine
369 papers receiving 83.3k citations
Douglas A. Levine's Hit Papers
Peers
Comparison fields: 5 of 211
- Cancer Research 23.2k
- Reproductive Medicine 11.7k
- Obstetrics and Gynecology 7.1k
- Oncology 19.4k
- Molecular Biology 35.7k
Countries citing papers authored by Douglas A. Levine
This map shows the geographic impact of Douglas A. Levine'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 Douglas A. Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas A. Levine more than expected).
Fields of papers citing papers by Douglas A. Levine
This network shows the impact of papers produced by Douglas A. Levine. 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 Douglas A. Levine. The network helps show where Douglas A. Levine may publish in the future.
Co-authors
The 25 scholars most cited alongside Douglas A. Levine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 372 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Inferring tumour purity and stromal and immune cell admixture from expression data Hit paper breakdown → | 2013 | 6781 |
| 2 | Integrated genomic analyses of ovarian carcinoma Hit paper breakdown → | 2011 | 6345 |
| 3 | Integrated genomic characterization of endometrial carcinoma Hit paper breakdown → | 2013 | 4446 |
| 4 | The Immune Landscape of Cancer Hit paper breakdown → | 2018 | 4331 |
| 5 | An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics Hit paper breakdown → | 2018 | 2602 |
| 6 | The repertoire of mutational signatures in human cancer Hit paper breakdown → | 2020 | 2339 |
| 7 | Oncogenic Signaling Pathways in The Cancer Genome Atlas Hit paper breakdown → | 2018 | 2334 |
| 8 | Pan-cancer analysis of whole genomes Hit paper breakdown → | 2020 | 2109 |
| 9 | OncoKB: A Precision Oncology Knowledge Base Hit paper breakdown → | 2017 | 1972 |
| 10 | Cell-of-Origin Patterns Dominate the Molecular Classification of 10,000 Tumors from 33 Types of Cancer Hit paper breakdown → | 2018 | 1720 |
| 11 | Comprehensive Characterization of Cancer Driver Genes and Mutations Hit paper breakdown → | 2018 | 1714 |
| 12 | Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation Hit paper breakdown → | 2018 | 1617 |
| 13 | Absolute quantification of somatic DNA alterations in human cancer Hit paper breakdown → | 2012 | 1565 |
| 14 | Integrated genomic and molecular characterization of cervical cancer Hit paper breakdown → | 2017 | 1221 |
| 15 | Evaluating cell lines as tumour models by comparison of genomic profiles Hit paper breakdown → | 2013 | 1155 |
| 16 | Rethinking ovarian cancer: recommendations for improving outcomes Hit paper breakdown → | 2011 | 1042 |
| 17 | Rethinking ovarian cancer II: reducing mortality from high-grade serous ovarian cancer Hit paper breakdown → | 2015 | 915 |
| 18 | Common Genetic Variation In Cellular Transport Genes and Epithelial Ovarian Cancer (EOC) Risk Hit paper breakdown → | 2015 | 859 |
| 19 | Resistance to therapy caused by intragenic deletion in BRCA2 Hit paper breakdown → | 2008 | 839 |
| 20 | Genomic and Molecular Landscape of DNA Damage Repair Deficiency across The Cancer Genome Atlas Hit paper breakdown → | 2018 | 810 |
About Douglas A. Levine
Douglas A. Levine is a scholar working on Reproductive Medicine, Cancer Research, Obstetrics and Gynecology, Oncology and Pathology and Forensic Medicine, having authored 372 papers that have together received 84.5k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (113 papers), Cancer Genomics and Diagnostics (61 papers), Endometrial and Cervical Cancer Treatments (49 papers), BRCA gene mutations in cancer (35 papers), Genetic factors in colorectal cancer (30 papers), Cancer-related molecular mechanisms research (29 papers), RNA modifications and cancer (22 papers) and PARP inhibition in cancer therapy (17 papers). The work is most often cited by research in Cancer Research (23.2k citations), Reproductive Medicine (11.7k citations), Obstetrics and Gynecology (7.1k citations), Oncology (19.4k citations) and Molecular Biology (35.7k citations). Douglas A. Levine has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Gad A. Getz, Scott L. Carter, Peter W. Laird, Hui Shen, Nadeem R. Abu‐Rustum, Gordon Brent Mills, Richard R. Barakat, Kosuke Yoshihara, Katherine Stemke‐Hale and Rahulsimham Vegesna. Their work appears in journals such as Gynecologic Oncology, Nature Communications, Cell, Cell Reports and Nature Genetics.
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.