Gérald Le Gac

2.6k total citations
58 papers, 1.3k citations indexed

About

Gérald Le Gac is a scholar working on Hematology, Genetics and Nutrition and Dietetics. According to data from OpenAlex, Gérald Le Gac has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Hematology, 32 papers in Genetics and 24 papers in Nutrition and Dietetics. Recurrent topics in Gérald Le Gac's work include Iron Metabolism and Disorders (36 papers), Hemoglobinopathies and Related Disorders (31 papers) and Trace Elements in Health (24 papers). Gérald Le Gac is often cited by papers focused on Iron Metabolism and Disorders (36 papers), Hemoglobinopathies and Related Disorders (31 papers) and Trace Elements in Health (24 papers). Gérald Le Gac collaborates with scholars based in France, United Kingdom and Canada. Gérald Le Gac's co-authors include Claude Férec, Catherine Mura, Virginie Scotet, Chandran Ka, Isabelle Gourlaouen, I. Quéré, Sigismond Lasocki, Pascale Le Maguet, Olivier Mimoz and Yannick Mallédant and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Blood.

In The Last Decade

Gérald Le Gac

55 papers receiving 1.3k citations

Peers

Gérald Le Gac
Gérald Le Gac
Citations per year, relative to Gérald Le Gac Gérald Le Gac (= 1×) peers Andrea U. Steinbicker

Countries citing papers authored by Gérald Le Gac

Since Specialization
Citations

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

Fields of papers citing papers by Gérald Le Gac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gérald Le Gac. 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 Gérald Le Gac. The network helps show where Gérald Le Gac may publish in the future.

Co-authorship network of co-authors of Gérald Le Gac

This figure shows the co-authorship network connecting the top 25 collaborators of Gérald Le Gac. A scholar is included among the top collaborators of Gérald Le Gac 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 Gérald Le Gac. Gérald Le Gac 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.
Ged, Cécile, Kévin Uguen, Isabelle Gourlaouen, et al.. (2025). Identification of New Key Players for Ferrous Iron Export in the Asymmetric Inner Gate of Human Ferroportin 1. The FASEB Journal. 39(14). e70821–e70821.
2.
Uguen, Kévin, et al.. (2024). Insights into the role of glycerophospholipids on the iron export function of SLC40A1 and the molecular mechanisms of ferroportin disease. The FASEB Journal. 38(13). e23725–e23725. 3 indexed citations
3.
Wu, Hao, Jin‐Huan Lin, Xin‐Ying Tang, et al.. (2024). Combining full-length gene assay and SpliceAI to interpret the splicing impact of all possible SPINK1 coding variants. Human Genomics. 18(1). 21–21. 4 indexed citations
4.
Dorval, Guillaume, Gérald Le Gac, Vincent Morinière, et al.. (2024). Targeted RNAseq from patients’ urinary cells to validate pathogenic noncoding variants in autosomal dominant polycystic kidney disease genes: a proof of concept. Kidney International. 106(3). 532–535. 1 indexed citations
5.
Masson, Emmanuelle, Wen‐Bin Zou, Emmanuelle Génin, et al.. (2022). Expanding ACMG variant classification guidelines into a general framework. Human Genomics. 16(1). 31–31. 41 indexed citations
6.
Ka, Chandran, Gaëlle Richard, Isabelle Callebaut, et al.. (2021). Missense RHD single nucleotide variants induce weakened D antigen expression by altering splicing and/or protein expression. Transfusion. 61(8). 2468–2476. 3 indexed citations
7.
Scotet, Virginie, et al.. (2018). Do pregnancies reduce iron overload in HFE hemochromatosis women? results from an observational prospective study. BMC Pregnancy and Childbirth. 18(1). 53–53. 5 indexed citations
8.
Ka, Chandran, Caroline Kannengiesser, Cécile Ged, et al.. (2018). The SLC40A1 R178Q mutation is a recurrent cause of hemochromatosis and is associated with a novel pathogenic mechanism. Haematologica. 103(11). 1796–1805. 20 indexed citations
9.
Gac, Gérald Le, et al.. (2017). Mucormycose hépatique à Rhizopus microsporus : description d’un cas. Médecine et Maladies Infectieuses. 47(7). 504–507. 2 indexed citations
10.
Lavoué, Sylvain, Gérald Le Gac, Arnaud Gacouin, et al.. (2016). Extracorporeal circuit for Panton-Valentine leukocidin-producing Staphylococcus aureus necrotizing pneumonia. Médecine et Maladies Infectieuses. 46(6). 314–317. 2 indexed citations
11.
Quéré, Gilles, R. Descourt, G. Robinet, et al.. (2016). Mutational status of synchronous and metachronous tumor samples in patients with metastatic non-small-cell lung cancer. BMC Cancer. 16(1). 210–210. 26 indexed citations
12.
Callebaut, Isabelle, Serge Pissard, Caroline Kannengiesser, et al.. (2014). Comprehensive functional annotation of 18 missense mutations found in suspected hemochromatosis type 4 patients. Human Molecular Genetics. 23(17). 4479–4490. 35 indexed citations
13.
Maguet, Pascale Le, Antoine Roquilly, Sigismond Lasocki, et al.. (2014). Prevalence and impact of frailty on mortality in elderly ICU patients: a prospective, multicenter, observational study. Intensive Care Medicine. 40(5). 674–682. 217 indexed citations
14.
Volant, A, Arnaud Uguen, Pierre de la Grange, et al.. (2014). A Gene Expression and Pre-mRNA Splicing Signature That Marks the Adenoma-Adenocarcinoma Progression in Colorectal Cancer. PLoS ONE. 9(2). e87761–e87761. 48 indexed citations
15.
Jouanolle, Anne‐Marie, et al.. (2012). Recommandations pour la (bonne) pratique du diagnostic moléculaire de l'hémochromatose liée au gène HFE. Synthesed'une enquete realisee aupres du reseau national des laboratoires pratiquant le disgnostic de maladies rares du metabolisme du fer.. Annales de biologie clinique. 70(3). 2 indexed citations
16.
Jouanolle, Anne‐Marie, V. Gérolami, Cécile Ged, et al.. (2012). Molecular diagnosis of HFE mutations in routine laboratories. Results of a survey from reference laboratories in France. Annales de biologie clinique. 70(3). 305–313. 3 indexed citations
17.
Rochette, Jacques, Gérald Le Gac, Kaı̈ss Lassoued, Claude Férec, & Kathryn Robson. (2010). Factors influencing disease phenotype and penetrance in HFE haemochromatosis. Human Genetics. 128(3). 233–248. 29 indexed citations
18.
Gac, Gérald Le, Pierre‐Olivier Estève, Claude Férec, & Sriharsa Pradhan. (2006). DNA Damage-induced Down-regulation of Human Cdc25C and Cdc2 Is Mediated by Cooperation between p53 and Maintenance DNA (Cytosine-5) Methyltransferase 1. Journal of Biological Chemistry. 281(34). 24161–24170. 57 indexed citations
19.
Gac, Gérald Le & Claude Férec. (2005). The molecular genetics of haemochromatosis. European Journal of Human Genetics. 13(11). 1172–1185. 59 indexed citations
20.
Gac, Gérald Le, et al.. (2000). Nramp2 Analysis in Hemochromatosis Probands. Blood Cells Molecules and Diseases. 26(4). 312–319. 1 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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