Mary E. Sehl
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 5%
- Frailty in Older Adults
Papers in
-
- Epigenetics and DNA Methylation 12
- Oncology 16
- Cancer Cells and Metastasis 7
- Cancer Risks and Factors 5
- Co-authors
- Janet S. Sinsheimer (15 shared papers)Steve Horvath (11 shared papers)Éric Vilain (1 shared paper)Francisco J. Sánchez (1 shared paper)Wen Lin (1 shared paper)Sven Bocklandt (1 shared paper)Arash Naeim (4 shared papers)Rishi Sawhney (2 shared papers)
- Journals
- PLoS ONE (6 papers)Cancer Research (5 papers)Bioinformatics (2 papers)Breast Cancer Research (2 papers)Cancer Epidemiology Biomarkers & Prevention (2 papers)
- Partner nations
- United StatesRussiaCanada
In The Last Decade
Mary E. Sehl
51 papers receiving 2.0k citations
Mary E. Sehl's Hit Papers
Peers
Comparison fields: 5 of 141
- Aging 166
- Geriatrics and Gerontology 105
- Virology 94
- Oncology 437
- Molecular Biology 1.0k
Countries citing papers authored by Mary E. Sehl
This map shows the geographic impact of Mary E. Sehl'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. Sehl 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. Sehl more than expected).
Fields of papers citing papers by Mary E. Sehl
This network shows the impact of papers produced by Mary E. Sehl. 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. Sehl. The network helps show where Mary E. Sehl may publish in the future.
Co-authors
The 25 scholars most cited alongside Mary E. Sehl, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Epigenetic Predictor of Age Hit paper breakdown → | 2011 | 685 |
| 2 | 2005 | 153 | |
| 3 | 2001 | 133 | |
| 4 | 2010 | 99 | |
| 5 | 2015 | 90 | |
| 6 | 2012 | 89 | |
| 7 | 2005 | 85 | |
| 8 | 2014 | 71 | |
| 9 | 2017 | 49 | |
| 10 | 2020 | 49 | |
| 11 | 2001 | 49 | |
| 12 | 2012 | 45 | |
| 13 | 2007 | 40 | |
| 14 | 2022 | 38 | |
| 15 | 2015 | 33 | |
| 16 | 2009 | 30 | |
| 17 | 2009 | 29 | |
| 18 | 2013 | 27 | |
| 19 | 2020 | 24 | |
| 20 | 2010 | 23 |
About Mary E. Sehl
Mary E. Sehl is a scholar working on Molecular Biology, Oncology, Genetics, Pulmonary and Respiratory Medicine and Modeling and Simulation, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), Cancer Cells and Metastasis (7 papers), Cancer Genomics and Diagnostics (6 papers), HIV Research and Treatment (6 papers), Mathematical Biology Tumor Growth (6 papers), HIV-related health complications and treatments (5 papers), Cancer Risks and Factors (5 papers) and HIV/AIDS Research and Interventions (4 papers). The work is most often cited by research in Aging (166 citations), Geriatrics and Gerontology (105 citations), Virology (94 citations), Oncology (437 citations) and Molecular Biology (1.0k citations). Mary E. Sehl has collaborated with scholars based in United States, Russia and Canada. Frequent co-authors include Janet S. Sinsheimer, Steve Horvath, Éric Vilain, Francisco J. Sánchez, Wen Lin, Sven Bocklandt, Arash Naeim, Rishi Sawhney, F. Eugene Yates and Patricia A. Ganz. Their work appears in journals such as PLoS ONE, Cancer Research, Bioinformatics, Breast Cancer Research and Cancer Epidemiology Biomarkers & Prevention.
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.