S. Moniot
Impact in
- Geriatrics and Gerontology top 0.5%
- Sirtuins and Resveratrol in Medicine
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Biochemical effects in animals
Papers in
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- Photosynthetic Processes and Mechanisms 2
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- Sirtuins and Resveratrol in Medicine 9
- Co-authors
- Clemens Steegborn (13 shared papers)Michael Weyand (4 shared papers)Mike Schutkowski (1 shared paper)Éric Chabrière (4 shared papers)Mikael Elias (4 shared papers)Claude Lecomte (2 shared papers)Lonny R. Levin (1 shared paper)S. Kleinboelting (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (2 papers)Journal of Molecular Biology (2 papers)Journal of Structural Biology (2 papers)Journal of Biological Chemistry (2 papers)Frontiers in Pharmacology (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
S. Moniot
24 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 108
- Geriatrics and Gerontology 418
- Physiology 163
- Molecular Biology 560
- Epidemiology 246
- Clinical Biochemistry 44
Countries citing papers authored by S. Moniot
This map shows the geographic impact of S. Moniot'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 S. Moniot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Moniot more than expected).
Fields of papers citing papers by S. Moniot
This network shows the impact of papers produced by S. Moniot. 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 S. Moniot. The network helps show where S. Moniot may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Moniot, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 155 | |
| 2 | 2017 | 138 | |
| 3 | 2014 | 116 | |
| 4 | 2015 | 112 | |
| 5 | 2013 | 95 | |
| 6 | 2017 | 86 | |
| 7 | 2019 | 75 | |
| 8 | 2012 | 67 | |
| 9 | 2014 | 65 | |
| 10 | 2017 | 59 | |
| 11 | 2009 | 47 | |
| 12 | 2011 | 37 | |
| 13 | 2008 | 36 | |
| 14 | 2013 | 30 | |
| 15 | 2012 | 30 | |
| 16 | 2007 | 28 | |
| 17 | 2007 | 17 | |
| 18 | 2018 | 13 | |
| 19 | 2012 | 10 | |
| 20 | 2020 | 5 |
About S. Moniot
S. Moniot is a scholar working on Molecular Biology, Geriatrics and Gerontology, Epidemiology, Physiology and Oncology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (9 papers), Calcium signaling and nucleotide metabolism (6 papers), Autophagy in Disease and Therapy (6 papers), Drug Transport and Resistance Mechanisms (3 papers), Enzyme Structure and Function (3 papers), Bacterial Genetics and Biotechnology (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Geriatrics and Gerontology (418 citations), Physiology (163 citations), Molecular Biology (560 citations), Epidemiology (246 citations) and Clinical Biochemistry (44 citations). S. Moniot has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Clemens Steegborn, Michael Weyand, Mike Schutkowski, Éric Chabrière, Mikael Elias, Claude Lecomte, Lonny R. Levin, S. Kleinboelting, Joop van den Heuvel and Ana Díaz. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Molecular Biology, Journal of Structural Biology, Journal of Biological Chemistry and Frontiers in Pharmacology.
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.