Mark S. Schmidt
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine 7
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 2
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism 8
- Biological Psychiatry top 5%
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- PARP inhibition in cancer therapy 6
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- Mitochondrial Function and Pathology 3
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- Analytical Methods in Pharmaceuticals 3
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- Autophagy in Disease and Therapy 3
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- Antibiotics Pharmacokinetics and Efficacy 3
- Co-authors
- Charles BrennerSamuel A.J. TrammellMarie E. MigaudBenjamin J. WeidemannE. Dale AbelZhonggang LiRyan W. DellingerFrank Jaksch
- Journals
- Journal of Pharmaceutical and Biomedical Analysis (3 papers)Cell Metabolism (2 papers)Nature Communications (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Mark S. Schmidt
44 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Geriatrics and Gerontology 698
- Aging 176
- Physiology 444
- Biological Psychiatry 146
- Endocrine and Autonomic Systems 292
Countries citing papers authored by Mark S. Schmidt
This map shows the geographic impact of Mark S. Schmidt'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 Mark S. Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Schmidt more than expected).
Fields of papers citing papers by Mark S. Schmidt
This network shows the impact of papers produced by Mark S. Schmidt. 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 Mark S. Schmidt. The network helps show where Mark S. Schmidt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark S. Schmidt, 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 | 2024 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 15 | |
| 4 | 2023 | 18 | |
| 5 | 2020 | 137 | |
| 6 | 2020 | 127 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 51 | |
| 9 | 2019 | 51 | |
| 10 | 2018 | 191 | |
| 11 | 2011 | 6 | |
| 12 | 2007 | 9 | |
| 13 | 2007 | 13 | |
| 14 | 2007 | 5 | |
| 15 | 2005 | 52 | |
| 16 | 2005 | 63 | |
| 17 | 2004 | 56 | |
| 18 | 2003 | 27 | |
| 19 | 1998 | 11 | |
| 20 | 1991 | 4 |
About Mark S. Schmidt
Mark S. Schmidt is a scholar working on Geriatrics and Gerontology, Physiology, Aging, Biological Psychiatry and Analytical Chemistry, having authored 45 papers that have together received 2.4k indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (8 papers), Sirtuins and Resveratrol in Medicine (7 papers), PARP inhibition in cancer therapy (6 papers), Mitochondrial Function and Pathology (3 papers), Analytical Methods in Pharmaceuticals (3 papers), Autophagy in Disease and Therapy (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Geriatrics and Gerontology (698 citations), Aging (176 citations), Physiology (444 citations), Biological Psychiatry (146 citations) and Endocrine and Autonomic Systems (292 citations). Mark S. Schmidt has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Charles Brenner, Samuel A.J. Trammell, Marie E. Migaud, Benjamin J. Weidemann, E. Dale Abel, Zhonggang Li, Ryan W. Dellinger, Frank Jaksch, Philip Redpath and Daryl J. Murry. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Cell Metabolism, Nature Communications, Journal of Organometallic Chemistry and Inorganic Chemistry.
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.