William M. Keyes
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 1%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Single-cell and spatial transcriptomics 3
- Congenital heart defects research 3
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 3
- Physiology 12
- Telomeres, Telomerase, and Senescence 12
- Co-authors
- Mekayla A. Storer (5 shared papers)Alea A. Mills (8 shared papers)Matteo Pecoraro (3 shared papers)Xuecui Guo (4 shared papers)Hannes Vogel (4 shared papers)Alexandre Robert‐Moreno (1 shared paper)James Sharpe (1 shared paper)Reut Yosef (1 shared paper)
- Journals
- Genes & Development (5 papers)Oncogene (2 papers)Cell Cycle (2 papers)Nature Communications (1 paper)Cell (1 paper)
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
William M. Keyes
27 papers receiving 2.9k citations
William M. Keyes's Hit Papers
Peers
Comparison fields: 5 of 105
- Aging 278
- Physiology 1.3k
- Oncology 631
- Cancer Research 326
- Biotechnology 203
Countries citing papers authored by William M. Keyes
This map shows the geographic impact of William M. Keyes'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 William M. Keyes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William M. Keyes more than expected).
Fields of papers citing papers by William M. Keyes
This network shows the impact of papers produced by William M. Keyes. 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 William M. Keyes. The network helps show where William M. Keyes may publish in the future.
Co-authors
The 25 scholars most cited alongside William M. Keyes, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Senescence Is a Developmental Mechanism that Contributes to Embryonic Growth and Patterning Hit paper breakdown → | 2013 | 895 |
| 2 | The senescence-associated secretory phenotype induces cellular plasticity and tissue regeneration Hit paper breakdown → | 2017 | 489 |
| 3 | 2005 | 238 | |
| 4 | 2019 | 228 | |
| 5 | 2009 | 207 | |
| 6 | 2011 | 161 | |
| 7 | 2012 | 126 | |
| 8 | 2005 | 85 | |
| 9 | 2020 | 76 | |
| 10 | 2006 | 70 | |
| 11 | 2007 | 64 | |
| 12 | 2022 | 49 | |
| 13 | 2006 | 38 | |
| 14 | 2012 | 30 | |
| 15 | 2013 | 29 | |
| 16 | 2003 | 24 | |
| 17 | 2022 | 18 | |
| 18 | 2017 | 18 | |
| 19 | 2002 | 16 | |
| 20 | 2024 | 9 |
About William M. Keyes
William M. Keyes is a scholar working on Molecular Biology, Physiology, Oncology, Biotechnology and Urology, having authored 28 papers that have together received 2.9k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (12 papers), Cancer-related Molecular Pathways (6 papers), Cancer Research and Treatments (5 papers), Single-cell and spatial transcriptomics (3 papers), Congenital heart defects research (3 papers), Epigenetics and DNA Methylation (3 papers), Hair Growth and Disorders (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Aging (278 citations), Physiology (1.3k citations), Oncology (631 citations), Cancer Research (326 citations) and Biotechnology (203 citations). William M. Keyes has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Mekayla A. Storer, Alea A. Mills, Matteo Pecoraro, Xuecui Guo, Hannes Vogel, Alexandre Robert‐Moreno, James Sharpe, Reut Yosef, Valery Krizhanovsky and Muriel Rhinn. Their work appears in journals such as Genes & Development, Oncogene, Cell Cycle, Nature Communications and Cell.
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.