M.G. Catelli

2.5k total citations
36 papers, 2.1k citations indexed

About

M.G. Catelli is a scholar working on Molecular Biology, Genetics and Physical and Theoretical Chemistry. According to data from OpenAlex, M.G. Catelli has authored 36 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Genetics and 6 papers in Physical and Theoretical Chemistry. Recurrent topics in M.G. Catelli's work include Heat shock proteins research (19 papers), Estrogen and related hormone effects (8 papers) and thermodynamics and calorimetric analyses (6 papers). M.G. Catelli is often cited by papers focused on Heat shock proteins research (19 papers), Estrogen and related hormone effects (8 papers) and thermodynamics and calorimetric analyses (6 papers). M.G. Catelli collaborates with scholars based in France, United States and Canada. M.G. Catelli's co-authors include Ahmed Chadli, E.E. Baulieu, Nadine Binart, Leonard Μ. Neckers, Monica G. Marcu, Jack‐Michel Renoir, James R. Feramisco, Ingrid Jung‐Testas, Welch Wj and E.E. Baulieu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

M.G. Catelli

36 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.G. Catelli France 20 1.7k 482 326 273 234 36 2.1k
Christine Radanyi France 33 2.1k 1.3× 796 1.7× 619 1.9× 183 0.7× 420 1.8× 48 2.9k
Lee E. Faber United States 20 1.5k 0.9× 482 1.0× 553 1.7× 130 0.5× 246 1.1× 32 1.9k
Avrom J. Caplan United States 29 2.6k 1.6× 243 0.5× 392 1.2× 226 0.8× 133 0.6× 44 3.0k
Kurt D. Dittmar United States 12 1.1k 0.7× 179 0.4× 332 1.0× 138 0.5× 139 0.6× 12 1.3k
Maria-Grazia Catelli France 13 813 0.5× 298 0.6× 146 0.4× 125 0.5× 133 0.6× 18 1.0k
Ronald A. Rimerman United States 19 1.7k 1.0× 170 0.4× 465 1.4× 125 0.5× 103 0.4× 29 2.1k
Ross T. Fernley Australia 21 1.8k 1.1× 126 0.3× 160 0.5× 50 0.2× 160 0.7× 57 2.4k
Wolfgang Rist Germany 23 1.4k 0.8× 279 0.6× 188 0.6× 65 0.2× 116 0.5× 38 1.9k
Sara J. Felts United States 23 2.0k 1.2× 125 0.3× 286 0.9× 174 0.6× 38 0.2× 35 2.2k
Richard F. Gaber United States 37 3.9k 2.3× 276 0.6× 318 1.0× 98 0.4× 65 0.3× 60 4.8k

Countries citing papers authored by M.G. Catelli

Since Specialization
Citations

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

Fields of papers citing papers by M.G. Catelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.G. Catelli

This figure shows the co-authorship network connecting the top 25 collaborators of M.G. Catelli. A scholar is included among the top collaborators of M.G. Catelli 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 M.G. Catelli. M.G. Catelli 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.
Latchoumanin, Olivier, et al.. (2006). Reversal of Glucocorticoids-Dependent Proopiomelanocortin Gene Inhibition by Leukemia Inhibitory Factor. Endocrinology. 148(1). 422–432. 11 indexed citations
2.
3.
Garnier, Cyrille, Daniel Lafitte, Philipp O. Tsvetkov, et al.. (2002). Binding of ATP to Heat Shock Protein 90. Journal of Biological Chemistry. 277(14). 12208–12214. 113 indexed citations
4.
Guignat, Laurence, et al.. (2002). Different Mechanisms for Leukemia Inhibitory Factor-Dependent Activation of Two Proopiomelanocortin Promoter Regions. Endocrinology. 143(10). 3916–3924. 28 indexed citations
5.
Chadli, Ahmed, et al.. (2001). The N-terminal adenosine triphosphate binding domain of Hsp90 is necessary and sufficient for interaction with estrogen receptor. Cell Stress and Chaperones. 6(4). 297–297. 10 indexed citations
6.
Marcu, Monica G., et al.. (2000). The Heat Shock Protein 90 Antagonist Novobiocin Interacts with a Previously Unrecognized ATP-binding Domain in the Carboxyl Terminus of the Chaperone. Journal of Biological Chemistry. 275(47). 37181–37186. 420 indexed citations
7.
Driancourt, Marc Antoine, et al.. (1999). Presence of an aromatase inhibitor, possibly heat shock protein 90, in dominant follicles of cattle. Reproduction. 115(1). 45–58. 20 indexed citations
8.
Fortin, Dominique, et al.. (1998). Luciferase activity and synthesis of Hsp70 and Hsp90 are insensitive to 50Hz electromagnetic fields. Life Sciences. 63(6). 489–497. 21 indexed citations
9.
Meng, Xia, E E Baulieu, & M.G. Catelli. (1995). Isolation of Chicken hsp90β Gene Promoter. Biochemical and Biophysical Research Communications. 206(2). 644–651. 7 indexed citations
10.
Callebaut, Isabelle, et al.. (1994). Structural similarities between chaperone molecules of the HSP60 and HSP70 families deduced from hydrophobic cluster analysis. FEBS Letters. 342(3). 242–248. 9 indexed citations
11.
Renoir, Jack‐Michel, Christine Radanyi, Béatrice Chambraud, et al.. (1993). The Mammalian Heat Shock Protein Binding Immunophilin (p59/HBI) Is an ATP and GTP Binding Protein. Biochemical and Biophysical Research Communications. 195(2). 600–607. 36 indexed citations
12.
Meng, Xia, Valérie Jérôme, Jocelyne Devin, E.E. Baulieu, & M.G. Catelli. (1993). Cloning of Chicken hsp90β: The Only Vertebrate hsp90 Insensitive to Heat Shock. Biochemical and Biophysical Research Communications. 190(2). 630–636. 41 indexed citations
13.
Baulieu, E.E., Nadine Binart, F. Cadepond, et al.. (1990). Receptor‐Associated Nuclear Proteins and Steroid/ Antisteroid Action. Annals of the New York Academy of Sciences. 595(1). 300–315. 8 indexed citations
14.
Ramachandran, Chidambaram, M.G. Catelli, Wolfgang J. Schneider, & G. Shyamala. (1988). Estrogenic Regulation of Uterine 90-Kilodalton Heat Shock Protein *. Endocrinology. 123(2). 956–961. 56 indexed citations
15.
Catelli, M.G., Nadine Binart, Ingrid Jung‐Testas, et al.. (1985). The common 90-kd protein component of non-transformed ‘8S’ steroid receptors is a heat-shock protein.. The EMBO Journal. 4(12). 3131–3135. 442 indexed citations
16.
Catelli, M.G., Nadine Binart, James R. Feramisco, & David M. Helfman. (1985). Cloning of the chick hsp 90 cDNA in expression vector. Nucleic Acids Research. 13(17). 6035–6047. 42 indexed citations
17.
Tuohimaa, Pentti, Ján Mešter, Jack‐Michel Renoir, et al.. (1984). Effects of calcium on the chick oviduct progesterone receptor. Journal of Steroid Biochemistry. 20(1). 429–432. 1 indexed citations
18.
Renoir, Jack‐Michel, Ján Mešter, Thierry Buchou, et al.. (1984). Purification by affinity chromatography and immunological characterization of a 110kDa component of the chick oviduct progesterone receptor. Biochemical Journal. 217(3). 685–692. 53 indexed citations
19.
Catelli, M.G., I. Joab, Jack‐Michel Renoir, et al.. (1983). 402 Immunological studies of chick oviduct progesterone receptor. Journal of Steroid Biochemistry. 19. 134–134. 2 indexed citations
20.

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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