Isabelle Lefrère

906 total citations
8 papers, 761 citations indexed

About

Isabelle Lefrère is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Isabelle Lefrère has authored 8 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Isabelle Lefrère's work include Cholesterol and Lipid Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Isabelle Lefrère is often cited by papers focused on Cholesterol and Lipid Metabolism (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). Isabelle Lefrère collaborates with scholars based in France, United States and Germany. Isabelle Lefrère's co-authors include Stéphane Krief, Soazig Le Lay, Isabelle Dugail, Brigitte Bressac–de Paillerets, Christian Trautwein, Pascal Ferré, R Bazin, Xavier Le Lièpvre, Jean Feunteun and Thomas Tursz and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and British Journal of Cancer.

In The Last Decade

Isabelle Lefrère

8 papers receiving 749 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Isabelle Lefrère France 8 371 230 184 142 134 8 761
Abhijit Chakladar United States 9 574 1.5× 141 0.6× 222 1.2× 75 0.5× 120 0.9× 11 993
Nathalie Filippa France 11 728 2.0× 122 0.5× 108 0.6× 118 0.8× 59 0.4× 13 1.0k
Nai-Wen Chi United States 11 704 1.9× 244 1.1× 336 1.8× 104 0.7× 218 1.6× 11 1.1k
Elisa Manieri Spain 10 292 0.8× 186 0.8× 103 0.6× 80 0.6× 126 0.9× 12 629
Laura Dunbar United States 5 474 1.3× 171 0.7× 77 0.4× 197 1.4× 50 0.4× 6 818
Ana Ortega-Molina Spain 11 629 1.7× 156 0.7× 290 1.6× 57 0.4× 111 0.8× 14 937
J. E. De Vries Netherlands 9 254 0.7× 74 0.3× 104 0.6× 103 0.7× 67 0.5× 21 673
Céline Gheeraert France 15 536 1.4× 138 0.6× 130 0.7× 161 1.1× 290 2.2× 25 906
Tatsuya Kiyohara Japan 19 426 1.1× 242 1.1× 106 0.6× 270 1.9× 52 0.4× 28 990
Long Cui China 12 281 0.8× 176 0.8× 76 0.4× 50 0.4× 118 0.9× 27 762

Countries citing papers authored by Isabelle Lefrère

Since Specialization
Citations

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

Fields of papers citing papers by Isabelle Lefrère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Lefrère

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

All Works

8 of 8 papers shown
1.
Zaghini, Isabelle, Jean‐François Landrier, Jacques Grober, et al.. (2002). Sterol Regulatory Element-binding Protein-1c Is Responsible for Cholesterol Regulation of Ileal Bile Acid-binding Protein Gene in Vivo. Journal of Biological Chemistry. 277(2). 1324–1331. 29 indexed citations
2.
Lefrère, Isabelle, Pierre de Coppet, Soazig Le Lay, et al.. (2002). Neuropeptide AF and FF Modulation of Adipocyte Metabolism. Journal of Biological Chemistry. 277(42). 39169–39178. 32 indexed citations
3.
Lay, Soazig Le, Isabelle Lefrère, Christian Trautwein, Isabelle Dugail, & Stéphane Krief. (2002). Insulin and Sterol-regulatory Element-binding Protein-1c (SREBP-1C) Regulation of Gene Expression in 3T3-L1 Adipocytes. Journal of Biological Chemistry. 277(38). 35625–35634. 140 indexed citations
4.
Lay, Soazig Le, Stéphane Krief, Isabelle Lefrère, et al.. (2001). Cholesterol, a Cell Size-dependent Signal That Regulates Glucose Metabolism and Gene Expression in Adipocytes. Journal of Biological Chemistry. 276(20). 16904–16910. 190 indexed citations
5.
Grandjouan, S, Isabelle Lefrère, Jean‐Pierre Pignon, et al.. (2000). Extensive molecular screening for hereditary non-polyposis colorectal cancer. British Journal of Cancer. 82(4). 871–880. 76 indexed citations
6.
Krief, Stéphane, Jean‐François Faivre, Philippe Robert, et al.. (1999). Identification and Characterization of cvHsp. Journal of Biological Chemistry. 274(51). 36592–36600. 97 indexed citations
7.
Capoulade, Corinne, Brigitte Bressac–de Paillerets, Isabelle Lefrère, et al.. (1998). Overexpression of MDM2, due to enhanced translation, results in inactivation of wild-type p53 in Burkitt's lymphoma cells. Oncogene. 16(12). 1603–1610. 108 indexed citations
8.
Lubin, Richard, Thierry Soussi, Vladimir Lazar, et al.. (1995). Primary proliferative T cell response to wild‐type p53 protein in patients with breast cancer. European Journal of Immunology. 25(6). 1765–1769. 89 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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