S. Moniot

2.0k citations
23 papers · 1.2k indexed · h-index 17

Impact in

Papers in

S. Moniot

23 papers receiving 1.2k citations

Peers

S. Moniot
Comparison fields: 5 of 107
  • Geriatrics and Gerontology 393
  • Physiology 157
  • Molecular Biology 566
  • Epidemiology 238
  • Clinical Biochemistry 40
Replace Boris A. Chrunyk with:
Boris A. Chrunyk United States
Alexander Kaplun Russia
Benjamin Fränzel Germany
James A. Bennett United States
James J. Ellinger United States
Simona Todisco Italy
Olesya A. Ulanovskaya United States
Lawrence M. Szewczuk United States
Mario Fiore Italy
Ubaldina Galli Italy
S. Moniot relative to Boris A. Chrunyk United States Boris A. Chrunyk's profile →
Citations per field
00.5×1.5×
Boris A. Chrunyk · 1×
Citations per year

Countries citing papers authored by S. Moniot

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with S. Moniot Line = papers co-authored together S. Moniot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008141
2 2017126
3 2014113
4 2015104
5 201392
6 201781
7 201974
8 201462
9 201260
10 201755
11 200945
12 200835
13 201134
14 201230
15 201330
16 200728
17 200717
18 201813
19 201210
20 20205

About S. Moniot

S. Moniot is a scholar working on Geriatrics and Gerontology, Physiology, Biochemistry, Oncology and Molecular Biology, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (8 papers), Calcium signaling and nucleotide metabolism (5 papers), Autophagy in Disease and Therapy (5 papers), Bacterial Genetics and Biotechnology (3 papers), Enzyme Structure and Function (3 papers), Drug Transport and Resistance Mechanisms (3 papers), PARP inhibition in cancer therapy (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Geriatrics and Gerontology (393 citations), Physiology (157 citations), Molecular Biology (566 citations), Epidemiology (238 citations) and Clinical Biochemistry (40 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, Joop van den Heuvel, Jochen Buck, Ana Díaz and Lonny R. Levin. Their work appears in journals such as Journal of Structural Biology, Journal of Biological Chemistry, Journal of Molecular Biology, Journal of Medicinal Chemistry and Bioscience Reports.

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.

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