Nancy K. Levin
Impact in
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
Papers in
-
- Ubiquitin and proteasome pathways 6
- DNA Repair Mechanisms 2
- Protein Degradation and Inhibitors 2
- Oncology 5
- Co-authors
- Michael A. Tainsky (18 shared papers)Judith Abrams (6 shared papers)Madhumita Chatterjee (7 shared papers)Steven D. Reich (6 shared papers)Rouba Ali‐Fehmi (3 shared papers)Mohit Trikha (5 shared papers)Robert Morris (5 shared papers)Suzanne Mellon (2 shared papers)
- Journals
- Cancer Biomarkers (5 papers)Cancer Research (3 papers)Journal of Clinical Oncology (2 papers)Biomarker Insights (2 papers)British Journal of Haematology (2 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Nancy K. Levin
27 papers receiving 708 citations
Peers
Comparison fields: 5 of 82
- Reproductive Medicine 81
- Oncology 128
- Immunology 101
- Cancer Research 66
- Hematology 47
Countries citing papers authored by Nancy K. Levin
This map shows the geographic impact of Nancy K. Levin'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 Nancy K. Levin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy K. Levin more than expected).
Fields of papers citing papers by Nancy K. Levin
This network shows the impact of papers produced by Nancy K. Levin. 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 Nancy K. Levin. The network helps show where Nancy K. Levin may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy K. Levin, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 165 | |
| 2 | 2017 | 61 | |
| 3 | 2002 | 60 | |
| 4 | 2005 | 52 | |
| 5 | 2016 | 47 | |
| 6 | 2018 | 45 | |
| 7 | 2012 | 41 | |
| 8 | 2017 | 35 | |
| 9 | 2012 | 35 | |
| 10 | 2021 | 28 | |
| 11 | 2021 | 20 | |
| 12 | 2019 | 19 | |
| 13 | 2020 | 19 | |
| 14 | 2009 | 18 | |
| 15 | 2019 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2017 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2012 | 8 | |
| 20 | 2017 | 5 |
About Nancy K. Levin
Nancy K. Levin is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Genetics, having authored 27 papers that have together received 721 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), BRCA gene mutations in cancer (5 papers), Cancer Genomics and Diagnostics (4 papers), Ovarian cancer diagnosis and treatment (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glioma Diagnosis and Treatment (4 papers), DNA Repair Mechanisms (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Reproductive Medicine (81 citations), Oncology (128 citations), Immunology (101 citations), Cancer Research (66 citations) and Hematology (47 citations). Nancy K. Levin has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Michael A. Tainsky, Judith Abrams, Madhumita Chatterjee, Steven D. Reich, Rouba Ali‐Fehmi, Mohit Trikha, Robert Morris, Suzanne Mellon, Adnan Munkarah and Paul G. Richardson. Their work appears in journals such as Cancer Biomarkers, Cancer Research, Journal of Clinical Oncology, Biomarker Insights and British Journal of Haematology.
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.