Bart Staels

784 papers receiving 78.0k citations

Bart Staels's Hit Papers

PPAR control of metabolism and cardiovascular functions 2021 · 642 citations
6420+8+16Years since publication4008001.2k

Peers

Bart Staels
Comparison fields: 5 of 181
  • Endocrine and Autonomic Systems 4.8k
  • Biochemistry 5.2k
  • Endocrinology, Diabetes and Metabolism 11.0k
  • Physiology 15.9k
  • Molecular Biology 37.8k
Replace Johan Auwerx with:
Johan Auwerx Switzerland
Ronald M. Evans United States
Gökhan S. Hotamışlıgil United States
C. Ronald Kahn United States
Jerrold M. Olefsky United States
Gerald I. Shulman United States
Frank J. Gonzalez United States
David J. Mangelsdorf United States
D. Grahame Hardie United Kingdom
Iichiro Shimomura Japan
Bart Staels relative to Johan Auwerx Switzerland Johan Auwerx's profile →
Citations per field
00.5×1.6×
Johan Auwerx · 1×
Citations per year

Countries citing papers authored by Bart Staels

Since Specialization
Citations

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

Fields of papers citing papers by Bart Staels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 794 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mechanism of Action of Fibrates on Lipid and Lipoprotein Metabolism
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19981405
2
Role of Bile Acids and Bile Acid Receptors in Metabolic Regulation
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20091323
3
Molecular mechanism of PPARα action and its impact on lipid metabolism, inflammation and fibrosis in non-alcoholic fatty liver disease
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20141258
4
PPARγ Activation Primes Human Monocytes into Alternative M2 Macrophages with Anti-inflammatory Properties
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20071127
5
Role of the peroxisome proliferator-activated receptor (PPAR) in mediating the effects of fibrates and fatty acids on gene expression
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19961036
6
The Organization, Promoter Analysis, and Expression of the Human PPARγ Gene
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19971025
7
PPARalpha and PPARgamma activators direct a distinct tissue‐specific transcriptional response via a PPRE in the lipoprotein lipase gene.
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19961001
8
PPAR-α and PPAR-γ activators induce cholesterol removal from human macrophage foam cells through stimulation of the ABCA1 pathway
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2001991
9
Activation of human aortic smooth-muscle cells is inhibited by PPARα but not by PPARγ activators
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1998977
10
Transient increase in obese gene expression after food intake or insulin administration
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1995957
11
Peroxisome Proliferator-activated Receptor α Negatively Regulates the Vascular Inflammatory Gene Response by Negative Cross-talk with Transcription Factors NF-κB and AP-1
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1999941
12
The peroxisome proliferator activated receptors (PPARs) and their effects on lipid metabolism and adipocyte differentiation
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1996895
13
International Union of Pharmacology. LXI. Peroxisome Proliferator-Activated Receptors
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2006816
14
Activation of Proliferator-activated Receptors α and γ Induces Apoptosis of Human Monocyte-derived Macrophages
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1998799
15
Peroxisome proliferator-activated receptors (PPARs): Nuclear receptors at the crossroads between lipid metabolism and inflammation
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2000788
16
Bile Acid Control of Metabolism and Inflammation in Obesity, Type 2 Diabetes, Dyslipidemia, and Nonalcoholic Fatty Liver Disease
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2017755
17
Protective Role of Interleukin-10 in Atherosclerosis
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1999651
18
Molecular Actions of PPARα in Lipid Metabolism and Inflammation
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2018649
19
PPAR control of metabolism and cardiovascular functions
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2021642
20
Peroxisome proliferator-activated receptors in inflammation control
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2001640

About Bart Staels

Bart Staels is a scholar working on Molecular Biology, Surgery, Physiology, Epidemiology and Oncology, having authored 794 papers that have together received 79.7k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (317 papers), Adipose Tissue and Metabolism (119 papers), Drug Transport and Resistance Mechanisms (102 papers), Cholesterol and Lipid Metabolism (100 papers), Metabolism, Diabetes, and Cancer (87 papers), Liver Disease Diagnosis and Treatment (72 papers), Adipokines, Inflammation, and Metabolic Diseases (58 papers) and Cancer, Lipids, and Metabolism (47 papers). The work is most often cited by research in Endocrine and Autonomic Systems (4.8k citations), Biochemistry (5.2k citations), Endocrinology, Diabetes and Metabolism (11.0k citations), Physiology (15.9k citations) and Molecular Biology (37.8k citations). Bart Staels has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Johan Auwerx, Jean‐Charles Fruchart, Giulia Chinetti, Philippe Lefèbvre, Kristina Schoonjans, Folkert Kuipers, Inès Pineda‐Torra, Hélène Duez, Bertrand Cariou and Jean‐Charles Fruchart. Their work appears in journals such as Journal of Biological Chemistry, Arteriosclerosis Thrombosis and Vascular Biology, Atherosclerosis, Journal of Hepatology and Diabetes.

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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