Timothy Mark Willson

258 papers receiving 57.9k citations

Timothy Mark Willson's Hit Papers

The promise and peril of chemical probes 2015 · 670 citations
6700+8+17Years since publication50010001.5k

Peers

Timothy Mark Willson
Comparison fields: 5 of 184
  • Pharmacology 7.3k
  • Biochemistry 4.5k
  • Oncology 13.8k
  • Molecular Biology 32.8k
  • Endocrinology, Diabetes and Metabolism 6.1k
Replace Steven A. Kliewer with:
Steven A. Kliewer United States
Masahiko Negishi United States
David D. Moore United States
Magnus Ingelman‐Sundberg Sweden
Peter Tontonoz United States
David J. Waxman United States
Frederick Peter Guengerich United States
Daniel W. Nebert United States
Kristina Schoonjans Switzerland
John Russell Falck United States
Timothy Mark Willson relative to Steven A. Kliewer United States Steven A. Kliewer's profile →
Citations per field
00.5×1.5×
Steven A. Kliewer · 1×
Citations per year

Countries citing papers authored by Timothy Mark Willson

Since Specialization
Citations

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

Fields of papers citing papers by Timothy Mark Willson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy Mark Willson. 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 Timothy Mark Willson. The network helps show where Timothy Mark Willson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 263 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An Antidiabetic Thiazolidinedione Is a High Affinity Ligand for Peroxisome Proliferator-activated Receptor γ (PPARγ)
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19953251
2
The peroxisome proliferator-activated receptor-γ is a negative regulator of macrophage activation
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19983211
3
Bile Acids: Natural Ligands for an Orphan Nuclear Receptor
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19991990
4
Fatty acids and eicosanoids regulate gene expression through direct interactions with peroxisome proliferator-activated receptors α and γ
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19971899
5
A prostaglandin J2 metabolite binds peroxisome proliferator-activated receptor γ and promotes adipocyte differentiation
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19951839
6
Ligand binding and co-activator assembly of the peroxisome proliferator-activated receptor-γ
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19981721
7
A Regulatory Cascade of the Nuclear Receptors FXR, SHP-1, and LRH-1 Represses Bile Acid Biosynthesis
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20001671
8
The PPARs: From Orphan Receptors to Drug Discovery
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20001618
9
The human orphan nuclear receptor PXR is activated by compounds that regulate CYP3A4 gene expression and cause drug interactions.
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19981390
10
An Orphan Nuclear Receptor Activated by Pregnanes Defines a Novel Steroid Signaling Pathway
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19981344
11
The nuclear receptor PXR is a lithocholic acid sensor that protects against liver toxicity
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20011199
12
A SUMOylation-dependent pathway mediates transrepression of inflammatory response genes by PPAR-γ
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20051079
13
Activation of the Nuclear Receptor LXR by Oxysterols Defines a New Hormone Response Pathway
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19971051
14
Molecular Recognition of Fatty Acids by Peroxisome Proliferator–Activated Receptors
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1999986
15
A selective peroxisome proliferator-activated receptor δ agonist promotes reverse cholesterol transport
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2001917
16
Activation of the nuclear receptor FXR improves hyperglycemia and hyperlipidemia in diabetic mice
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2006826
17
Synthetic LXR ligand inhibits the development of atherosclerosis in mice
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2002816
18
St. John's wort induces hepatic drug metabolism through activation of the pregnane X receptor
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2000789
19
Interleukin-4-dependent production of PPAR-γ ligands in macrophages by 12/15-lipoxygenase
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1999779
20
The Nuclear Pregnane X Receptor: A Key Regulator of Xenobiotic Metabolism
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2002776

About Timothy Mark Willson

Timothy Mark Willson is a scholar working on Molecular Biology, Oncology, Pharmacology, Genetics and Cancer Research, having authored 263 papers that have together received 60.1k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (86 papers), Drug Transport and Resistance Mechanisms (53 papers), Estrogen and related hormone effects (48 papers), Cholesterol and Lipid Metabolism (41 papers), Pharmacogenetics and Drug Metabolism (25 papers), Adipose Tissue and Metabolism (24 papers), Inflammatory mediators and NSAID effects (23 papers) and Computational Drug Discovery Methods (22 papers). The work is most often cited by research in Pharmacology (7.3k citations), Biochemistry (4.5k citations), Oncology (13.8k citations), Molecular Biology (32.8k citations) and Endocrinology, Diabetes and Metabolism (6.1k citations). Timothy Mark Willson has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Steven A. Kliewer, Jürgen M. Lehmann, Linda B. Moore, Christopher K. Glass, Millard H. Lambert, Stacey A. Jones, Andrew C. Li, Bryan J. Goodwin, John T. Moore and David D. McKee. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, Proceedings of the National Academy of Sciences and Molecular Endocrinology.

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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