Charles Thomas

117 papers receiving 7.4k citations

Charles Thomas's Hit Papers

PARP-1 Inhibition Increases Mitochondrial Metabolism through SIRT1 Activation 2011 · 666 citations
6660+6+12Years since publication4008001.2k

Peers

Charles Thomas
Comparison fields: 5 of 178
  • Geriatrics and Gerontology 359
  • Oncology 2.3k
  • Aging 117
  • Biological Psychiatry 129
  • Physiology 1.3k
Replace Nathan A. Berger with:
Nathan A. Berger United States
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Chiara Cerletti Italy
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Citations per year

Countries citing papers authored by Charles Thomas

Since Specialization
Citations

This map shows the geographic impact of Charles Thomas'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 Charles Thomas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles Thomas more than expected).

Fields of papers citing papers by Charles Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles Thomas. 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 Charles Thomas. The network helps show where Charles Thomas may publish in the future.

Co-authors

The 25 scholars most cited alongside Charles Thomas, 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 Charles Thomas Line = papers co-authored together Charles Thomas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TGR5-Mediated Bile Acid Sensing Controls Glucose Homeostasis
Hit paper breakdown →
20091469
2
Targeting bile-acid signalling for metabolic diseases
Hit paper breakdown →
20081115
3
PARP-1 Inhibition Increases Mitochondrial Metabolism through SIRT1 Activation
Hit paper breakdown →
2011666
4
TGR5 Activation Inhibits Atherosclerosis by Reducing Macrophage Inflammation and Lipid Loading
Hit paper breakdown →
2011493
5 2011415
6 2007288
7 2008245
8 2009221
9 2017177
10 1977134
11 2008131
12 2007118
13 198389
14 200480
15 197573
16 199970
17 197669
18 198461
19 202058
20 197757

About Charles Thomas

Charles Thomas is a scholar working on Sociology and Political Science, Surgery, Molecular Biology, Oncology and Physiology, having authored 121 papers that have together received 7.7k indexed citations. Recurring topics across this work include Criminal Justice and Corrections Analysis (26 papers), Crime Patterns and Interventions (19 papers), Cholesterol and Lipid Metabolism (18 papers), Drug Transport and Resistance Mechanisms (17 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Psychopathy, Forensic Psychiatry, Sexual Offending (5 papers), Education Discipline and Inequality (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Geriatrics and Gerontology (359 citations), Oncology (2.3k citations), Aging (117 citations), Biological Psychiatry (129 citations) and Physiology (1.3k citations). Charles Thomas has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Johan Auwerx, Kristina Schoonjans, Roberto Pellicciari, Mark Pruzanski, Antimo Gioiello, Antonio Macchiarulo, Hiroyasu Yamamoto, Axelle Strehle, Chikage Mataki and Julien Oury. Their work appears in journals such as The Journal of Criminal Law and Criminology (1973-), Atherosclerosis, Criminology, Journal of Medicinal Chemistry and Journal of Criminal Justice.

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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