G. Perret

5.0k total citations · 1 hit paper
122 papers, 3.9k citations indexed

About

G. Perret is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, G. Perret has authored 122 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 29 papers in Oncology and 26 papers in Physiology. Recurrent topics in G. Perret's work include Angiogenesis and VEGF in Cancer (20 papers), Axon Guidance and Neuronal Signaling (12 papers) and Erythrocyte Function and Pathophysiology (10 papers). G. Perret is often cited by papers focused on Angiogenesis and VEGF in Cancer (20 papers), Axon Guidance and Neuronal Signaling (12 papers) and Erythrocyte Function and Pathophysiology (10 papers). G. Perret collaborates with scholars based in France, Poland and Morocco. G. Perret's co-authors include Bernard Uzzan, Patrick Nicolas, Michel Cucherat, R. Cohen, Roger Vassy, G. Des Guetz, Jean‐François Morère, Anna Starzec, Olivier Schischmanoff and Mélanie Di Benedetto and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

G. Perret

120 papers receiving 3.8k citations

Hit Papers

Procalcitonin as a diagnostic test for sepsis in critical... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Perret France 28 1.3k 1.1k 698 593 480 122 3.9k
Marie‐Anne Loriot France 44 1.3k 1.1× 1.3k 1.2× 1.2k 1.7× 452 0.8× 229 0.5× 159 5.8k
Aaron J. Marcus United States 50 1.8k 1.4× 568 0.5× 526 0.8× 930 1.6× 470 1.0× 128 7.6k
Emma D. Deeks New Zealand 41 1.4k 1.1× 1.1k 1.0× 540 0.8× 386 0.7× 330 0.7× 156 5.0k
Gianpiero Pescarmona Italy 41 1.9k 1.5× 762 0.7× 257 0.4× 338 0.6× 465 1.0× 135 4.6k
Shinichi Kawai Japan 42 1.1k 0.9× 914 0.8× 564 0.8× 424 0.7× 436 0.9× 181 6.4k
Li Ma China 40 1.7k 1.4× 610 0.5× 448 0.6× 748 1.3× 184 0.4× 172 4.9k
Kaori Suzuki Japan 31 1.9k 1.5× 859 0.8× 701 1.0× 634 1.1× 208 0.4× 102 4.0k
Kyung Lee United States 38 2.0k 1.6× 524 0.5× 498 0.7× 461 0.8× 291 0.6× 150 5.0k
Jean Rosenbaum France 45 2.0k 1.6× 923 0.8× 1.1k 1.6× 917 1.5× 306 0.6× 150 5.3k
Angéla Sutton France 37 1.5k 1.2× 591 0.5× 976 1.4× 289 0.5× 632 1.3× 93 4.3k

Countries citing papers authored by G. Perret

Since Specialization
Citations

This map shows the geographic impact of G. 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 G. Perret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Perret more than expected).

Fields of papers citing papers by G. Perret

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. 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 G. Perret. The network helps show where G. Perret may publish in the future.

Co-authorship network of co-authors of G. Perret

This figure shows the co-authorship network connecting the top 25 collaborators of G. Perret. A scholar is included among the top collaborators of G. 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 G. Perret. G. Perret is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tymecka, Dagmara, et al.. (2018). Branched pentapeptides as potent inhibitors of the vascular endothelial growth factor 165 binding to Neuropilin-1: Design, synthesis and biological activity. European Journal of Medicinal Chemistry. 158. 453–462. 21 indexed citations
3.
Starzec, Anna, et al.. (2014). Discovery of novel inhibitors of vascular endothelial growth factor-A–Neuropilin-1 interaction by structure-based virtual screening. Bioorganic & Medicinal Chemistry. 22(15). 4042–4048. 35 indexed citations
4.
Guetz, G. Des, Bernard Uzzan, Jean‐François Morère, G. Perret, & Patrick Nicolas. (2010). Duration of adjuvant chemotherapy for patients with non-metastatic colorectal cancer. Cochrane Database of Systematic Reviews. 2010(1). CD007046–CD007046. 40 indexed citations
5.
Friand, V., Oualid Haddad, Dulce Papy-García, et al.. (2009). Glycosaminoglycan mimetics inhibit SDF-1/CXCL12-mediated migration and invasion of human hepatoma cells. Glycobiology. 19(12). 1511–1524. 33 indexed citations
6.
Guetz, G. Des, Olivier Schischmanoff, Patrick Nicolas, et al.. (2009). Does microsatellite instability predict the efficacy of adjuvant chemotherapy in colorectal cancer? A systematic review with meta-analysis. European Journal of Cancer. 45(10). 1890–1896. 211 indexed citations
7.
Uzzan, Bernard, Jean-Marc Catheline, Christine Lagorce, et al.. (2007). Expression of ghrelin in fundus is increased after gastric banding in morbidly obese patients. Obesity Surgery. 17(9). 1159–1164. 16 indexed citations
8.
Uzzan, Bernard, R. Cohen, Patrick Nicolas, Michel Cucherat, & G. Perret. (2007). Effects of statins on bone mineral density: A meta-analysis of clinical studies. Bone. 40(6). 1581–1587. 147 indexed citations
9.
Benedetto, Mélanie Di, et al.. (2003). Inhibition of epidermoid carcinoma A431 cell growth and angiogenesis in nude mice by early and late treatment with a novel dextran derivative. British Journal of Cancer. 88(12). 1987–1994. 18 indexed citations
10.
Vassy, Roger, et al.. (1997). Nongenomic Effect of Triiodothyronine on Cell Surface  -Adrenoceptors in Cultured Embryonic Cardiac Myocytes. Experimental Biology and Medicine. 214(4). 352–358. 14 indexed citations
11.
Valensi, Paul, et al.. (1996). Effect of insulin concentration on bioavailability during nasal spray administration.. PubMed. 44(4). 235–40. 7 indexed citations
12.
Uzzan, Bernard, et al.. (1996). Effects on bone mass of long term treatment with thyroid hormones: a meta-analysis.. The Journal of Clinical Endocrinology & Metabolism. 81(12). 4278–4289. 267 indexed citations
13.
Tod, M., et al.. (1995). Time- and dose-dependent kinetics of all-trans-retinoic acid in rats after oral or intravenous administration(s).. Drug Metabolism and Disposition. 23(2). 227–231. 32 indexed citations
14.
Yin, Yalin, Roger Vassy, Patrick Nicolas, G. Perret, & Stéphane Laurent. (1994). Antagonism between T3 and amiodarone on the contractility and the density of β-adrenoceptors of chicken cardiac myocytes. European Journal of Pharmacology. 261(1-2). 97–104. 13 indexed citations
15.
Uzzan, Bernard, Roger Vassy, Patrick Nicolas, Arlene B. Chapman, & G. Perret. (1993). Troleandomycin hepatotoxicity: a case report of overt jaundice and a placebo-controlled trial.. PubMed. 48(1). 61–2. 2 indexed citations
16.
Perret, G.. (1990). [Non-morphine analgesics].. PubMed. 40(24). 2276–82. 4 indexed citations
17.
Chapuis, G., et al.. (1987). Structure and Phase transition in [N(CH3)4]2ZnI4. Zeitschrift für Kristallographie. 178. 215. 6 indexed citations
18.
Meyrier, A, et al.. (1986). Remission of idiopathic nephrotic syndrome after treatment with cyclosporin A.. BMJ. 292(6523). 789–792. 59 indexed citations
19.
Perret, G., et al.. (1984). Compared effect of propranolol and acebutolol on serum thyroid hormones' levels in euthyroid and hyperthyroid patients: a randomized study.. PubMed. 22(7). 360–4. 4 indexed citations
20.
Perret, G., et al.. (1978). Comparison of nucleated and enucleated asialylated erythrocytes' survival time.Possible role of T-agglutinin. Comparative Biochemistry and Physiology Part A Physiology. 60(4). 417–420. 4 indexed citations

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.

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