Peter Libby

20 papers receiving 3.7k citations

Peter Libby's Hit Papers

PPARα Activators Inhibit Cytokine-Induced Vascular Cell Adhesion Molecule-1 Expression in Human Endothelial Cells 1999 · 530 citations
5300+9+18Years since publication100200300400500

Peers

Peter Libby
Comparison fields: 5 of 91
  • Biochemistry 458
  • Cancer Research 632
  • Pharmacology 613
  • Molecular Biology 2.1k
  • Immunology 592
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Wolfgang Erl Germany
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Marta Casado Spain
Kazuhisa Tsukamoto Japan
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Nicolas Duverger France
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Citations per year

Countries citing papers authored by Peter Libby

Since Specialization
Citations

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

Fields of papers citing papers by Peter Libby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Peroxisome Proliferator-Activated Receptor Gamma Activators Inhibit Gene Expression and Migration in Human Vascular Smooth Muscle Cells
Hit paper breakdown →
1998532
2
PPARα Activators Inhibit Cytokine-Induced Vascular Cell Adhesion Molecule-1 Expression in Human Endothelial Cells
Hit paper breakdown →
1999530
3 1998488
4 1999335
5 1999332
6 1998311
7 2002295
8 2000268
9 2001194
10 2001150
11 1998114
12 2006107
13 201056
14 199748
15 200143
16 197930
17
200127
18 200123
19
Abstract 16180: K-877, A Novel PPAR-alpha Selective Agonist, Suppresses Macrophage Activation and Arterial Lesion Formation
20135
20 19991

About Peter Libby

Peter Libby is a scholar working on Molecular Biology, Surgery, Physiology, Biochemistry and Immunology, having authored 21 papers that have together received 3.9k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (10 papers), Lipoproteins and Cardiovascular Health (4 papers), Adipose Tissue and Metabolism (4 papers), NF-κB Signaling Pathways (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Inflammatory mediators and NSAID effects (2 papers), Coronary Interventions and Diagnostics (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Biochemistry (458 citations), Cancer Research (632 citations), Pharmacology (613 citations), Molecular Biology (2.1k citations) and Immunology (592 citations). Peter Libby has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Jorge Plutzky, Nikolaus Marx, Galina K. Sukhova, Uwe Schönbeck, Mitchell A. Lazar, Tucker Collins, Curran Murphy, David M. Herrington, J. Koudy Williams and Stephanie Coulter. Their work appears in journals such as Circulation, Circulation Research, The American Journal of Cardiology, American Journal Of Pathology and Arteriosclerosis Thrombosis and Vascular Biology.

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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