Thierry Grand‐Perret
- Molecular Biology top 5%
- Oncology top 5%
- Cell Biology top 2%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 5%
- Co-authors
- Eric BoursierHervé CosteF BenoistPhilippe VignaudCatherine VergelyFrançois HyafilMichel BornensJames Sillibourne
- Topics
- Peroxisome Proliferator-Activated Receptors (6 papers)Drug Transport and Resistance Mechanisms (3 papers)Lipid metabolism and biosynthesis (3 papers)
- Partner nations
- FranceUnited KingdomBelgium
In The Last Decade
Thierry Grand‐Perret
20 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 2.2k
- Oncology 742
- Cell Biology 529
- Cellular and Molecular Neuroscience 455
- Physiology 372
Countries citing papers authored by Thierry Grand‐Perret
This map shows the geographic impact of Thierry Grand‐Perret'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 Thierry Grand‐Perret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thierry Grand‐Perret more than expected).
Fields of papers citing papers by Thierry Grand‐Perret
This network shows the impact of papers produced by Thierry Grand‐Perret. 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 Thierry Grand‐Perret. The network helps show where Thierry Grand‐Perret may publish in the future.
Co-authorship network of co-authors of Thierry Grand‐Perret
This figure shows the co-authorship network connecting the top 25 collaborators of Thierry Grand‐Perret. A scholar is included among the top collaborators of Thierry Grand‐Perret 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 Thierry Grand‐Perret. Thierry Grand‐Perret is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | 52 | |
| 3 | 104 | |
| 4 | 21 | |
| 5 | Assay development for high throughput screening of p21(Waf1/Cip1) protein expression in intact cells using fluorometric microvolume assay technology. | 2 |
| 6 | 47 | |
| 7 | 16 | |
| 8 | 29 | |
| 9 | 13 | |
| 10 | 123 | |
| 11 | 42 | |
| 12 | 65 | |
| 13 | 12 | |
| 14 | In vitro and in vivo reversal of multidrug resistance by GF120918, an acridonecarboxamide derivative. | 455 |
| 15 | The bisindolylmaleimide GF 109203X is a potent and selective inhibitor of protein kinase Cbreakdown → | 2356 |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 37 | |
| 19 | 8 | |
| 20 | 3 |
About Thierry Grand‐Perret
Thierry Grand‐Perret is a scholar working on Microbiology, Biochemistry and Oncology, having authored 20 papers that have together received 3.5k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (6 papers), Drug Transport and Resistance Mechanisms (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Cell Biology (529 citations), Molecular Biology (2.2k citations) and Oncology (742 citations). Thierry Grand‐Perret has collaborated with scholars based in France, United Kingdom and Belgium. Frequent co-authors include Eric Boursier, Hervé Coste, F Benoist, Philippe Vignaud, Catherine Vergely, François Hyafil, Michel Bornens, James Sillibourne, Edwige Nicodème and Marc Issandou. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and Oncogene.
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.