Fabienne Rajas

4.9k total citations
80 papers, 3.1k citations indexed

About

Fabienne Rajas is a scholar working on Rheumatology, Molecular Biology and Physiology. According to data from OpenAlex, Fabienne Rajas has authored 80 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Rheumatology, 36 papers in Molecular Biology and 30 papers in Physiology. Recurrent topics in Fabienne Rajas's work include Glycogen Storage Diseases and Myoclonus (40 papers), Metabolism, Diabetes, and Cancer (25 papers) and Pancreatic function and diabetes (21 papers). Fabienne Rajas is often cited by papers focused on Glycogen Storage Diseases and Myoclonus (40 papers), Metabolism, Diabetes, and Cancer (25 papers) and Pancreatic function and diabetes (21 papers). Fabienne Rajas collaborates with scholars based in France, Netherlands and United States. Fabienne Rajas's co-authors include Gilles Mithieux, Amandine Gautier‐Stein, Carine Zitoun, Martine Croset, A. Stefanutti, Maud Soty, E. Mutel, Armelle Penhoat, N Bruni and Bernard Rousset and has published in prestigious journals such as Cell, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Fabienne Rajas

80 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabienne Rajas France 31 1.3k 1.1k 703 675 611 80 3.1k
Amandine Gautier‐Stein France 23 945 0.7× 798 0.7× 421 0.6× 365 0.5× 253 0.4× 53 1.9k
Joseph Satriano United States 39 2.0k 1.6× 938 0.8× 709 1.0× 859 1.3× 147 0.2× 72 5.1k
Charles Harris United States 29 2.3k 1.7× 1.5k 1.3× 433 0.6× 469 0.7× 169 0.3× 53 5.1k
Assunta Lombardi Italy 43 2.2k 1.7× 2.1k 1.9× 338 0.5× 1.5k 2.3× 161 0.3× 133 5.1k
Ingrid Dahlman Sweden 43 2.2k 1.7× 2.5k 2.2× 702 1.0× 678 1.0× 186 0.3× 125 5.8k
Masamichi Kuwajima Japan 29 894 0.7× 870 0.8× 527 0.7× 467 0.7× 111 0.2× 76 2.7k
Christopher P. Jenkinson United States 29 1.8k 1.4× 1.8k 1.6× 529 0.8× 751 1.1× 82 0.1× 60 4.2k
Loredana Quadro United States 33 2.9k 2.2× 807 0.7× 322 0.5× 435 0.6× 115 0.2× 78 4.5k
John C. McLenithan United States 23 1.4k 1.0× 1.3k 1.1× 693 1.0× 523 0.8× 109 0.2× 39 3.6k
Nobuyuki Takasu Japan 34 1.1k 0.8× 636 0.6× 910 1.3× 2.2k 3.2× 111 0.2× 200 4.6k

Countries citing papers authored by Fabienne Rajas

Since Specialization
Citations

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

Fields of papers citing papers by Fabienne Rajas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabienne Rajas

This figure shows the co-authorship network connecting the top 25 collaborators of Fabienne Rajas. A scholar is included among the top collaborators of Fabienne Rajas 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 Fabienne Rajas. Fabienne Rajas 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.
Koster, Mirjam H., Niels Kloosterhuis, Marieke Smit, et al.. (2022). Increased atherosclerosis in a mouse model of glycogen storage disease type 1a. Molecular Genetics and Metabolism Reports. 31. 100872–100872. 1 indexed citations
2.
Ramos, Susana, Elisa Jentho, Qian Wu, et al.. (2022). A hypometabolic defense strategy against malaria. Cell Metabolism. 34(8). 1183–1200.e12. 15 indexed citations
3.
Silva, Marine, F. Duboeuf, Olivier Peyruchaud, et al.. (2021). Tamoxifen Treatment in the Neonatal Period Affects Glucose Homeostasis in Adult Mice in a Sex-Dependent Manner. Endocrinology. 162(7). 7 indexed citations
4.
Zhukouskaya, Volha V., Séverine Charles, Christian Leborgne, et al.. (2021). A novel therapeutic strategy for skeletal disorders: Proof of concept of gene therapy for X-linked hypophosphatemia. Science Advances. 7(44). eabj5018–eabj5018. 5 indexed citations
5.
Silva, Marine, et al.. (2020). Intestinal gluconeogenesis prevents obesity-linked liver steatosis and non-alcoholic fatty liver disease. Gut. 69(12). 2193–2202. 42 indexed citations
6.
7.
Gjorgjieva, Monika, Stephanie Smith, Elizabeth D. Brooks, et al.. (2019). Pathogenesis of Hepatic Tumors following Gene Therapy in Murine and Canine Models of Glycogen Storage Disease. Molecular Therapy — Methods & Clinical Development. 15. 383–391. 13 indexed citations
8.
Mithieux, Gilles, et al.. (2019). Challenges of Gene Therapy for the Treatment of Glycogen Storage Diseases Type I and Type III. Human Gene Therapy. 30(10). 1263–1273. 16 indexed citations
9.
Gjorgjieva, Monika, Gilles Mithieux, & Fabienne Rajas. (2019). Hepatic stress associated with pathologies characterized by disturbed glucose production. SHILAP Revista de lepidopterología. 3(3). 86–99. 23 indexed citations
10.
Kaneko, Keizo, Maud Soty, Carine Zitoun, et al.. (2018). The role of kidney in the inter-organ coordination of endogenous glucose production during fasting. Molecular Metabolism. 16. 203–212. 17 indexed citations
11.
12.
Abdul-Wahed, Aya, Maud Soty, Hervé Guillou, et al.. (2016). The suppression of hepatic glucose production improves metabolism and insulin sensitivity in subcutaneous adipose tissue in mice. Diabetologia. 59(12). 2645–2653. 10 indexed citations
13.
Rajas, Fabienne, Philippe Labrune, & Gilles Mithieux. (2013). Glycogen storage disease type 1 and diabetes: Learning by comparing and contrasting the two disorders. Diabetes & Metabolism. 39(5). 377–387. 34 indexed citations
14.
15.
Gautier‐Stein, Amandine, Maud Soty, Julien Chilloux, et al.. (2012). Glucotoxicity Induces Glucose-6-Phosphatase Catalytic Unit Expression by Acting on the Interaction of HIF-1α With CREB-Binding Protein. Diabetes. 61(10). 2451–2460. 26 indexed citations
16.
Penhoat, Armelle, E. Mutel, Bruno Pillot, et al.. (2011). Protein-induced satiety is abolished in the absence of intestinal gluconeogenesis. Physiology & Behavior. 105(1). 89–93. 52 indexed citations
17.
Mutel, E., Aya Abdul-Wahed, A. Stefanutti, et al.. (2010). Targeted deletion of liver glucose-6 phosphatase mimics glycogen storage disease type 1a including development of multiple adenomas. Journal of Hepatology. 54(3). 529–537. 109 indexed citations
18.
Mithieux, Gilles, Fabienne Rajas, & Amandine Gautier‐Stein. (2004). A Novel Role for Glucose 6-Phosphatase in the Small Intestine in the Control of Glucose Homeostasis. Journal of Biological Chemistry. 279(43). 44231–44234. 97 indexed citations
19.
Bruni, N, et al.. (1999). Enzymatic characterization of four new mutations in the glucose‐6 phosphatase (G6PC) gene which cause glycogen storage disease type 1a. Annals of Human Genetics. 63(2). 141–146. 23 indexed citations
20.
Delhase, Mireille, José-Luis Castrillo, Miguel de la Hoya, Fabienne Rajas, & Elisabeth L. Hooghe‐Peters. (1996). AP-1 and Oct-1 Transcription Factors Down-regulate the Expression of the Human PIT1/GHF1 Gene. Journal of Biological Chemistry. 271(50). 32349–32358. 63 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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