Mary E. Winn
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Sarcoma Diagnosis and Treatment 5
- Co-authors
- Randal J. Westrick (3 shared papers)Daniel T. Eitzman (1 shared paper)Megan J. Bowman (6 shared papers)Zachary Madaj (6 shared papers)J.L.H. Ireland (3 shared papers)Nicholas J. Schork (6 shared papers)Jeremy M. Van Raamsdonk (2 shared papers)Claire Schaar (2 shared papers)
- Journals
- Cancer Research (2 papers)BMC Genomics (2 papers)Endocrinology (2 papers)Clinical Cancer Research (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesItalyHungary
In The Last Decade
Mary E. Winn
42 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 128
- Aging 134
- Cancer Research 318
- Molecular Biology 783
- Genetics 300
- Agronomy and Crop Science 96
Countries citing papers authored by Mary E. Winn
This map shows the geographic impact of Mary E. Winn'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 Mary E. Winn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary E. Winn more than expected).
Fields of papers citing papers by Mary E. Winn
This network shows the impact of papers produced by Mary E. Winn. 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 Mary E. Winn. The network helps show where Mary E. Winn may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary E. Winn, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 185 | |
| 2 | 2017 | 156 | |
| 3 | 2012 | 154 | |
| 4 | 2007 | 151 | |
| 5 | 2018 | 117 | |
| 6 | 1986 | 102 | |
| 7 | 2004 | 99 | |
| 8 | 2019 | 81 | |
| 9 | 2012 | 73 | |
| 10 | 2016 | 70 | |
| 11 | 2015 | 70 | |
| 12 | 2016 | 60 | |
| 13 | 2017 | 58 | |
| 14 | 2016 | 58 | |
| 15 | 2013 | 54 | |
| 16 | 2003 | 52 | |
| 17 | 2014 | 51 | |
| 18 | 2015 | 47 | |
| 19 | 2015 | 39 | |
| 20 | 2018 | 32 |
About Mary E. Winn
Mary E. Winn is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Public Health, Environmental and Occupational Health, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (5 papers), Reproductive Biology and Fertility (3 papers), Nuclear Receptors and Signaling (2 papers), Renin-Angiotensin System Studies (2 papers), Cancer Cells and Metastasis (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Autism Spectrum Disorder Research (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Aging (134 citations), Cancer Research (318 citations), Molecular Biology (783 citations), Genetics (300 citations) and Agronomy and Crop Science (96 citations). Mary E. Winn has collaborated with scholars based in United States, Italy and Hungary. Frequent co-authors include Randal J. Westrick, Daniel T. Eitzman, Megan J. Bowman, Zachary Madaj, J.L.H. Ireland, Nicholas J. Schork, Jeremy M. Van Raamsdonk, Claire Schaar, Megan M. Senchuk and Dylan J. Dues. Their work appears in journals such as Cancer Research, BMC Genomics, Endocrinology, Clinical Cancer Research and PLoS 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.