Michael Van Meter
Impact in
- Geriatrics and Gerontology top 0.2%
- Sirtuins and Resveratrol in Medicine
- Aging top 2%
Papers in
-
- Sirtuins and Resveratrol in Medicine 8
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- DNA Repair Mechanisms 3
- Co-authors
- Andrei Seluanov (11 shared papers)Vera Gorbunova (11 shared papers)Zhiyong Mao (5 shared papers)Xiao Tian (2 shared papers)Amita Vaidya (1 shared paper)Christopher Hine (1 shared paper)Timothy Morello (2 shared papers)Anthony J. Geneva (1 shared paper)
- Journals
- Aging (3 papers)Cell Cycle (2 papers)Science (2 papers)Nature Communications (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Michael Van Meter
18 papers receiving 2.0k citations
Michael Van Meter's Hit Papers
Peers
Comparison fields: 5 of 104
- Geriatrics and Gerontology 789
- Aging 153
- Physiology 238
- Physiology 435
- Molecular Biology 1.1k
Countries citing papers authored by Michael Van Meter
This map shows the geographic impact of Michael Van Meter'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 Michael Van Meter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Van Meter more than expected).
Fields of papers citing papers by Michael Van Meter
This network shows the impact of papers produced by Michael Van Meter. 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 Michael Van Meter. The network helps show where Michael Van Meter may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Van Meter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | SIRT6 Promotes DNA Repair Under Stress by Activating PARP1 Hit paper breakdown → | 2011 | 697 |
| 2 | LINE1 Derepression in Aged Wild-Type and SIRT6-Deficient Mice Drives Inflammation Hit paper breakdown → | 2019 | 319 |
| 3 | 2014 | 314 | |
| 4 | 2012 | 140 | |
| 5 | 2011 | 115 | |
| 6 | 1977 | 107 | |
| 7 | 2016 | 103 | |
| 8 | 2015 | 102 | |
| 9 | 2011 | 60 | |
| 10 | 2013 | 16 | |
| 11 | 2020 | 14 | |
| 12 | 2016 | 13 | |
| 13 | 2014 | 10 | |
| 14 | 2017 | 9 | |
| 15 | 2019 | 9 | |
| 16 | 2017 | 9 | |
| 17 | 2015 | 2 | |
| 18 | SLOE Lower Third Ranking: Is it the Kiss of Death? | 2016 | 1 |
| 19 | 2013 | 0 |
About Michael Van Meter
Michael Van Meter is a scholar working on Geriatrics and Gerontology, Molecular Biology, Oncology, Epidemiology and Physiology, having authored 19 papers that have together received 2.0k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (8 papers), PARP inhibition in cancer therapy (5 papers), DNA Repair Mechanisms (3 papers), Autophagy in Disease and Therapy (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Adipose Tissue and Metabolism (2 papers), Tea Polyphenols and Effects (2 papers) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Geriatrics and Gerontology (789 citations), Aging (153 citations), Physiology (238 citations), Physiology (435 citations) and Molecular Biology (1.1k citations). Michael Van Meter has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Andrei Seluanov, Vera Gorbunova, Zhiyong Mao, Xiao Tian, Amita Vaidya, Christopher Hine, Timothy Morello, Anthony J. Geneva, Sarallah Rezazadeh and Zhonghe Ke. Their work appears in journals such as Aging, Cell Cycle, Science, Nature Communications and Advances in experimental medicine and biology.
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.