Claude Forest

5.2k total citations
112 papers, 4.3k citations indexed

About

Claude Forest is a scholar working on Physiology, Molecular Biology and Biochemistry. According to data from OpenAlex, Claude Forest has authored 112 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Physiology, 54 papers in Molecular Biology and 24 papers in Biochemistry. Recurrent topics in Claude Forest's work include Adipose Tissue and Metabolism (53 papers), Peroxisome Proliferator-Activated Receptors (26 papers) and Lipid metabolism and biosynthesis (22 papers). Claude Forest is often cited by papers focused on Adipose Tissue and Metabolism (53 papers), Peroxisome Proliferator-Activated Receptors (26 papers) and Lipid metabolism and biosynthesis (22 papers). Claude Forest collaborates with scholars based in France, United States and Mali. Claude Forest's co-authors include Eric Duplus, Martine Glorian, Elmus Beale, Daryl K. Granner, Peter C. Lucas, Richard M. O’Brien, Mark A. Magnuson, Chantal Benelli, Gérard Ailhaud and Joan Tordjman and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Claude Forest

109 papers receiving 4.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Claude Forest 2.3k 1.7k 787 593 539 112 4.3k
Colleen M. Croniger 1.9k 0.9× 1.1k 0.7× 766 1.0× 303 0.5× 543 1.0× 71 3.8k
Pradip Saha 2.1k 0.9× 1.8k 1.0× 1.7k 2.2× 631 1.1× 785 1.5× 76 5.5k
Francine M. Gregoire 2.1k 0.9× 2.1k 1.2× 1.4k 1.8× 260 0.4× 396 0.7× 50 4.5k
Isabelle Dugail 2.5k 1.1× 1.7k 1.0× 1.2k 1.6× 841 1.4× 974 1.8× 94 4.7k
Marvín I. Siegel 2.5k 1.1× 1.1k 0.7× 369 0.5× 715 1.2× 476 0.9× 82 5.3k
Elmus Beale 2.3k 1.0× 1.0k 0.6× 390 0.5× 411 0.7× 598 1.1× 51 3.4k
Haiming Cao 2.2k 1.0× 1.4k 0.8× 1.2k 1.6× 339 0.6× 449 0.8× 40 4.3k
Jie An 3.4k 1.5× 2.5k 1.4× 1.1k 1.4× 281 0.5× 642 1.2× 42 5.2k
Pierre Borgeat 1.5k 0.7× 1.4k 0.8× 292 0.4× 772 1.3× 324 0.6× 108 5.1k
Peter Zahradka 1.6k 0.7× 818 0.5× 484 0.6× 385 0.6× 469 0.9× 182 4.0k

Countries citing papers authored by Claude Forest

Since Specialization
Citations

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

Fields of papers citing papers by Claude Forest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claude Forest

This figure shows the co-authorship network connecting the top 25 collaborators of Claude Forest. A scholar is included among the top collaborators of Claude Forest 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 Claude Forest. Claude Forest 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.
Haiech, Jacques, Christian Hervé, & Claude Forest. (2020). Le mythe du « bon chercheur » et du « mauvais chercheur ». Ethics Medicine and Public Health. 15. 100413–100413.
2.
Joffin, Nolwenn, Philippe Noirez, Jean‐Philippe Antignac, et al.. (2018). Release and toxicity of adipose tissue-stored TCDD: Direct evidence from a xenografted fat model. Environment International. 121(Pt 2). 1113–1120. 22 indexed citations
3.
Kim, Min Ji, Véronique Pelloux, Erwan Guyot, et al.. (2012). Inflammatory Pathway Genes Belong to Major Targets of Persistent Organic Pollutants in Adipose Cells. Environmental Health Perspectives. 120(4). 508–514. 139 indexed citations
4.
Benelli, Chantal, Catherine Ribière, Martine Collinet, et al.. (2010). Leptin Induces Nitric Oxide-Mediated Inhibition of Lipolysis and Glyceroneogenesis in Rat White Adipose Tissue. Journal of Nutrition. 141(1). 4–9. 14 indexed citations
5.
Ribière, Catherine, et al.. (2009). Leptin and insulin induce mutual resistance for nitric oxide synthase III activation in adipocytes. Journal of Cellular Biochemistry. 108(4). 982–988. 4 indexed citations
6.
Cadoudal, Thomas, et al.. (2008). Retinoids Upregulate Phosphoenolpyruvate Carboxykinase and Glyceroneogenesis in Human and Rodent Adipocytes. Journal of Nutrition. 138(6). 1004–1009. 12 indexed citations
7.
Collinet, Martine, et al.. (2007). Differentiation-dependent expression of interferon gamma and toll-like receptor 9 in 3T3-F442A adipocytes. Biochimie. 89(5). 669–675. 23 indexed citations
8.
Cadoudal, Thomas, Jean‐Marc Blouin, Martine Collinet, et al.. (2007). Acute and selective regulation of glyceroneogenesis and cytosolic phosphoenolpyruvate carboxykinase in adipose tissue by thiazolidinediones in type 2 diabetes. Diabetologia. 50(3). 666–675. 56 indexed citations
9.
Bardon, Sylvie, Chantal Benelli, Dominique Bernard-Gallon, et al.. (2005). Acides gras alimentaires et cancers : mécanismes d’action cellulaire et moléculaire. Bulletin du Cancer. 92(7). 697–707. 3 indexed citations
10.
Forest, Claude. (2001). Économies contemporaines du cinéma en Europe. CNRS Éditions eBooks. 5 indexed citations
11.
Postic, Catherine, D. Robin, Pierre Robin, et al.. (1999). Isolation and characterization of the mouse cytosolic phosphoenolpyruvate carboxykinase (GTP) gene: evidence for tissue-specific hypersensitive sites. Molecular and Cellular Endocrinology. 148(1-2). 67–77. 12 indexed citations
13.
Picart, Renée, et al.. (1997). Mechanism of adenovirus improvement of cationic liposome-mediated gene transfer. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1330(1). 8–16. 29 indexed citations
14.
Grimal, Hélène, et al.. (1997). Adenovirus enhancement of polyethylenimine-mediated transfer of regulated genes in differentiated cells. Gene Therapy. 4(8). 808–814. 55 indexed citations
15.
Ferry, Nicolas, et al.. (1996). Efficient Transfer of Regulated Genes in Adipocytes and Hepatoma Cells by the Combination of Liposomes and Replication‐Deficient Adenovirus. European Journal of Biochemistry. 237(3). 660–667. 19 indexed citations
16.
Forest, Claude. (1995). Les dernières séances. CNRS Éditions eBooks. 7 indexed citations
17.
Poliard, Anne, et al.. (1995). Controlled conversion of an immortalized mesodermal progenitor cell towards osteogenic, chondrogenic, or adipogenic pathways.. The Journal of Cell Biology. 130(6). 1461–1472. 80 indexed citations
18.
Antras‐Ferry, Jocelyne, et al.. (1994). Stimulation of Phosphoenolpyruvate Carboxykinase Gene Expression by Fatty Acids. Biochemical and Biophysical Research Communications. 203(1). 385–391. 45 indexed citations
19.
Ailhaud, Gérard, Christian Dani, Ez‐Zoubir Amri, et al.. (1989). Coupling growth arrest and adipocyte differentiation.. Environmental Health Perspectives. 80. 17–23. 43 indexed citations
20.
Morin, Odette, Claude Forest, & Max Fehlmann. (1981). EGF inhibits glucagon stimulation of amino acid transport in primary cultures of adult rat hepatocytes. FEBS Letters. 127(1). 109–111. 19 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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