Charles W. Thomas

124 papers receiving 8.1k citations

Charles W. Thomas's Hit Papers

TGR5 Activation Inhibits Atherosclerosis by Reducing Macrophage Inflammation and Lipid Loading 2011 · 524 citations
5240+6+12Years since publication50010001.5k

Peers

Charles W. Thomas
Comparison fields: 5 of 182
  • Geriatrics and Gerontology 386
  • Oncology 2.4k
  • Aging 130
  • Biological Psychiatry 144
  • Physiology 1.4k
Replace Nathan A. Berger with:
Nathan A. Berger United States
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Citations per year

Countries citing papers authored by Charles W. Thomas

Since Specialization
Citations

This map shows the geographic impact of Charles W. 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 W. 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 W. Thomas more than expected).

Fields of papers citing papers by Charles W. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 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 →
20091570
2
Targeting bile-acid signalling for metabolic diseases
Hit paper breakdown →
20081193
3
PARP-1 Inhibition Increases Mitochondrial Metabolism through SIRT1 Activation
Hit paper breakdown →
2011704
4
TGR5 Activation Inhibits Atherosclerosis by Reducing Macrophage Inflammation and Lipid Loading
Hit paper breakdown →
2011524
5 2011445
6 2007305
7 2008265
8 2009236
9 2017184
10 2020175
11 1977141
12 2008135
13 2007126
14 1983108
15 200482
16 197574
17 197670
18 198469
19 199967
20 202067

About Charles W. Thomas

Charles W. Thomas is a scholar working on Sociology and Political Science, Oncology, Surgery, Molecular Biology and Cancer Research, having authored 128 papers that have together received 8.5k indexed citations. Recurring topics across this work include Criminal Justice and Corrections Analysis (25 papers), Cholesterol and Lipid Metabolism (20 papers), Crime Patterns and Interventions (19 papers), Drug Transport and Resistance Mechanisms (17 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Psychopathy, Forensic Psychiatry, Sexual Offending (5 papers), Cancer, Lipids, and Metabolism (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Geriatrics and Gerontology (386 citations), Oncology (2.4k citations), Aging (130 citations), Biological Psychiatry (144 citations) and Physiology (1.4k citations). Charles W. Thomas has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Johan H. 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 Atherosclerosis, The Journal of Criminal Law and Criminology (1973-), Criminology, Crime & Delinquency and Journal of Medicinal 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.

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