Inès Pineda‐Torra
- Biochemistry top 0.5%
- Cancer Research top 1%
- Molecular Biology top 1%
- Peroxisome Proliferator-Activated Receptors 24
- Metabolism, Diabetes, and Cancer 7
- Oncology top 2%
- Drug Transport and Resistance Mechanisms 9
- Physiology top 1%
- Adipose Tissue and Metabolism 13
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- Cholesterol and Lipid Metabolism 20
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- Systemic Lupus Erythematosus Research 14
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- Atherosclerosis and Cardiovascular Diseases 14
- Immune Cell Function and Interaction 9
- Co-authors
- Bart StaelsJean‐Charles FruchartGiulia ChinettiV. P. KosykhJamila NajïbPhilippe DelerivePhilippe GervoisThierry Claudel
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (6 papers)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Inès Pineda‐Torra
76 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Biochemistry 606
- Cancer Research 1.1k
- Molecular Biology 4.5k
- Oncology 1.5k
- Physiology 1.4k
Countries citing papers authored by Inès Pineda‐Torra
This map shows the geographic impact of Inès Pineda‐Torra'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 Inès Pineda‐Torra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inès Pineda‐Torra more than expected).
Fields of papers citing papers by Inès Pineda‐Torra
This network shows the impact of papers produced by Inès Pineda‐Torra. 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 Inès Pineda‐Torra. The network helps show where Inès Pineda‐Torra may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Inès Pineda‐Torra, 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 | 2024 | 10 | |
| 2 | 2024 | 12 | |
| 3 | 2023 | 11 | |
| 4 | 2022 | 43 | |
| 5 | 2021 | 25 | |
| 6 | 2021 | 36 | |
| 7 | 2021 | 39 | |
| 8 | 2019 | 1 | |
| 9 | 2018 | 40 | |
| 10 | 2016 | 34 | |
| 11 | 2015 | 2 | |
| 12 | 2009 | 75 | |
| 13 | 2009 | 1 | |
| 14 | PPAR delta, but not PPAR alpha, activates PGC-l alpha gene transcription in muscle | 2007 | 2 |
| 15 | 2004 | 52 | |
| 16 | 2002 | 24 | |
| 17 | 2002 | 255 | |
| 18 | 2001 | 170 | |
| 19 | 1999 | 190 | |
| 20 | Activation of human aortic smooth-muscle cells is inhibited by PPARα but not by PPARγ activatorsbreakdown → | 1998 | 974 |
About Inès Pineda‐Torra
Inès Pineda‐Torra is a scholar working on Immunology, Rheumatology and Biochemistry, having authored 76 papers that have together received 7.7k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (24 papers), Cholesterol and Lipid Metabolism (20 papers), Systemic Lupus Erythematosus Research (14 papers), Atherosclerosis and Cardiovascular Diseases (14 papers), Adipose Tissue and Metabolism (13 papers), Drug Transport and Resistance Mechanisms (9 papers), Immune Cell Function and Interaction (9 papers) and Metabolism, Diabetes, and Cancer (7 papers). The work is most often cited by research in Biochemistry (606 citations), Cancer Research (1.1k citations) and Molecular Biology (4.5k citations). Inès Pineda‐Torra has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Bart Staels, Jean‐Charles Fruchart, Giulia Chinetti, V. P. Kosykh, Jamila Najïb, Philippe Delerive, Philippe Gervois, Thierry Claudel, Virginie Bocher and Caroline Duval. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.