Peter Tontonoz
Impact in
- Biochemistry top 0.01%
- Lipid metabolism and biosynthesis
- Cancer Research top 0.05%
- Cancer, Lipids, and Metabolism
Papers in
- Biochemistry 29
- Lipid metabolism and biosynthesis 25
- Surgery 104
- Cholesterol and Lipid Metabolism 94
- Co-authors
- Bruce M. SpiegelmanRonald M. EvansErding HuSean B. JosephLászló NagyAntonio CastrilloBryan LaffitteCynthia Hong
- Journals
- Proceedings of the National Academy of Sciences (20 papers)Journal of Lipid Research (19 papers)Cell Metabolism (16 papers)Molecular and Cellular Biology (15 papers)Journal of Biological Chemistry (13 papers)
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Peter Tontonoz
225 papers receiving 44.3k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Biochemistry 4.4k
- Cancer Research 7.2k
- Physiology 10.6k
- Molecular Biology 27.4k
- Immunology 7.2k
Countries citing papers authored by Peter Tontonoz
This map shows the geographic impact of Peter Tontonoz'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 Tontonoz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Tontonoz more than expected).
Fields of papers citing papers by Peter Tontonoz
This network shows the impact of papers produced by Peter Tontonoz. 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 Tontonoz. The network helps show where Peter Tontonoz may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Tontonoz, 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 13 | |
| 7 | 2023 | 6 | |
| 8 | 2022 | 34 | |
| 9 | 2020 | 27 | |
| 10 | 2019 | 40 | |
| 11 | 2019 | 27 | |
| 12 | 2017 | 29 | |
| 13 | 2016 | 41 | |
| 14 | 2011 | 116 | |
| 15 | 2011 | 51 | |
| 16 | 2010 | 109 | |
| 17 | LXR Regulates Cholesterol Uptake Through Idol-Dependent Ubiquitination of the LDL Receptor Hit paper breakdown → | 2009 | 627 |
| 18 | 2007 | 291 | |
| 19 | 2006 | 55 | |
| 20 | 2002 | 196 |
About Peter Tontonoz
Peter Tontonoz is a scholar working on Biochemistry, Surgery, Molecular Biology, Physiology and Cancer Research, having authored 228 papers that have together received 45.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (94 papers), Peroxisome Proliferator-Activated Receptors (83 papers), Adipose Tissue and Metabolism (49 papers), Drug Transport and Resistance Mechanisms (33 papers), Adipokines, Inflammation, and Metabolic Diseases (28 papers), Lipid metabolism and biosynthesis (25 papers), Cancer, Lipids, and Metabolism (23 papers) and Nuclear Receptors and Signaling (20 papers). The work is most often cited by research in Biochemistry (4.4k citations), Cancer Research (7.2k citations), Physiology (10.6k citations), Molecular Biology (27.4k citations) and Immunology (7.2k citations). Peter Tontonoz has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Bruce M. Spiegelman, Ronald M. Evans, Erding Hu, Sean B. Joseph, László Nagy, Antonio Castrillo, Bryan Laffitte, Cynthia Hong, David J. Mangelsdorf and Jacqueline G. Alvarez. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Lipid Research, Cell Metabolism, Molecular and Cellular Biology and Journal of Biological 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.