Peter Libby
- Biochemistry top 0.5%
- Cancer Research top 2%
- NF-κB Signaling Pathways 4
- Pharmacology top 1%
- Molecular Biology top 5%
- Peroxisome Proliferator-Activated Receptors 11
- Immunology top 5%
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- Lipoproteins and Cardiovascular Health 4
- Coronary Interventions and Diagnostics 3
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- Adipose Tissue and Metabolism 4
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- Adipokines, Inflammation, and Metabolic Diseases 3
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- Antiplatelet Therapy and Cardiovascular Diseases 3
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- Blood Coagulation and Thrombosis Mechanisms 3
Peter Libby
20 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Biochemistry 502
- Cancer Research 715
- Pharmacology 698
- Molecular Biology 2.2k
- Immunology 687
Countries citing papers authored by Peter Libby
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | Abstract 16180: K-877, A Novel PPAR-alpha Selective Agonist, Suppresses Macrophage Activation and Arterial Lesion Formation | 2013 | 5 |
| 3 | 2010 | 54 | |
| 4 | 2006 | 102 | |
| 5 | 2002 | 286 | |
| 6 | 2001 | 42 | |
| 7 | 2001 | 185 | |
| 8 | 2001 | 21 | |
| 9 | 2001 | 25 | |
| 10 | 2001 | 143 | |
| 11 | 2000 | 261 | |
| 12 | 1999 | 331 | |
| 13 | PPARα Activators Inhibit Cytokine-Induced Vascular Cell Adhesion Molecule-1 Expression in Human Endothelial Cellsbreakdown → | 1999 | 504 |
| 14 | 1999 | 1 | |
| 15 | 1999 | 323 | |
| 16 | 1998 | 300 | |
| 17 | 1998 | 477 | |
| 18 | 1998 | 109 | |
| 19 | 1997 | 48 | |
| 20 | 1979 | 29 |
About Peter Libby
Peter Libby is a scholar working on Biochemistry, Cancer Research, Hematology, Immunology and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 3.8k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (11 papers), Lipoproteins and Cardiovascular Health (4 papers), Adipose Tissue and Metabolism (4 papers), NF-κB Signaling Pathways (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Coronary Interventions and Diagnostics (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). The work is most often cited by research in Biochemistry (502 citations), Cancer Research (715 citations), Pharmacology (698 citations), Molecular Biology (2.2k citations) and Immunology (687 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, J. Koudy Williams, David M. Herrington and Pierre Graber. Their work appears in journals such as Circulation, Circulation Research, American Journal Of Pathology, The American Journal of Cardiology and Diabetes Obesity and Metabolism.
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.