Philippe Delerive
- Molecular Biology top 2%
- Physiology top 2%
- Epidemiology top 5%
- Cancer Research top 2%
- Immunology top 5%
- Co-authors
- Bart StaelsJean‐Charles FruchartGiulia ChinettiJamila NajïbAlain TedguiInès Pineda‐TorraKarolien De BosscherWim Vanden Berghe
- Topics
- Peroxisome Proliferator-Activated Receptors (14 papers)Adipose Tissue and Metabolism (6 papers)Adipokines, Inflammation, and Metabolic Diseases (5 papers)
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Philippe Delerive
17 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Molecular Biology 3.5k
- Physiology 972
- Epidemiology 897
- Cancer Research 889
- Immunology 831
Countries citing papers authored by Philippe Delerive
This map shows the geographic impact of Philippe Delerive'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 Philippe Delerive with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philippe Delerive more than expected).
Fields of papers citing papers by Philippe Delerive
This network shows the impact of papers produced by Philippe Delerive. 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 Philippe Delerive. The network helps show where Philippe Delerive may publish in the future.
Co-authorship network of co-authors of Philippe Delerive
This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Delerive. A scholar is included among the top collaborators of Philippe Delerive based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philippe Delerive. Philippe Delerive is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 51 | |
| 3 | 78 | |
| 4 | 193 | |
| 5 | 50 | |
| 6 | 156 | |
| 7 | 100 | |
| 8 | 27 | |
| 9 | 195 | |
| 10 | 13 | |
| 11 | 411 | |
| 12 | 145 | |
| 13 | 165 | |
| 14 | Peroxisome Proliferator-activated Receptor α Negatively Regulates the Vascular Inflammatory Gene Response by Negative Cross-talk with Transcription Factors NF-κB and AP-1breakdown → | 936 |
| 15 | 440 | |
| 16 | Activation of human aortic smooth-muscle cells is inhibited by PPARα but not by PPARγ activatorsbreakdown → | 974 |
| 17 | Activation of Proliferator-activated Receptors α and γ Induces Apoptosis of Human Monocyte-derived Macrophagesbreakdown → | 797 |
About Philippe Delerive
Philippe Delerive is a scholar working on Physiology, Cancer Research and Molecular Biology, having authored 17 papers that have together received 4.7k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (14 papers), Adipose Tissue and Metabolism (6 papers) and Adipokines, Inflammation, and Metabolic Diseases (5 papers). The work is most often cited by research in Biochemistry (582 citations), Cancer Research (889 citations) and Molecular Biology (3.5k citations). Philippe Delerive has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Bart Staels, Jean‐Charles Fruchart, Giulia Chinetti, Jamila Najïb, Alain Tedgui, Inès Pineda‐Torra, Karolien De Bosscher, Wim Vanden Berghe, Guy Haegeman and Philippe Gervois. Their work appears in journals such as Nature, Journal of Biological Chemistry and Circulation Research.
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.