Édith Le Floch

558 total citations
23 papers, 277 citations indexed

About

Édith Le Floch is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Édith Le Floch has authored 23 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Surgery. Recurrent topics in Édith Le Floch's work include Genetic Associations and Epidemiology (5 papers), Bioinformatics and Genomic Networks (5 papers) and Gene expression and cancer classification (5 papers). Édith Le Floch is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Bioinformatics and Genomic Networks (5 papers) and Gene expression and cancer classification (5 papers). Édith Le Floch collaborates with scholars based in France, Austria and Portugal. Édith Le Floch's co-authors include Florence Mauger, Jean‐François Deleuze, Jean‐François Deleuze, Vincent Frouin, Laura Trinchera, Jean‐Baptiste Poline, Christophe Lalanne, Arthur Tenenhaus, Édouard Duchesnay and Philippe Pinel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and NeuroImage.

In The Last Decade

Édith Le Floch

22 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Édith Le Floch France 8 110 52 43 30 28 23 277
Worrawat Engchuan Canada 11 125 1.1× 53 1.0× 16 0.4× 16 0.5× 49 1.8× 28 391
Yongjin Bao China 9 99 0.9× 52 1.0× 29 0.7× 27 0.9× 6 0.2× 15 360
Christopher R. Bauer United States 9 193 1.8× 72 1.4× 12 0.3× 10 0.3× 18 0.6× 12 372
Noa Hurvitz Israel 8 98 0.9× 34 0.7× 11 0.3× 13 0.4× 9 0.3× 16 295
Jichun Xie United States 15 97 0.9× 16 0.3× 34 0.8× 9 0.3× 21 0.8× 39 500
Hyo‐Jeong Ban South Korea 8 131 1.2× 72 1.4× 31 0.7× 4 0.1× 18 0.6× 22 299
Michal Ozery-Flato Israel 10 136 1.2× 88 1.7× 15 0.3× 38 1.3× 5 0.2× 22 347
Chunli Huang China 9 68 0.6× 20 0.4× 17 0.4× 44 1.5× 22 0.8× 18 373
Byungkyu Park South Korea 14 375 3.4× 19 0.4× 16 0.4× 21 0.7× 11 0.4× 37 527

Countries citing papers authored by Édith Le Floch

Since Specialization
Citations

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

Fields of papers citing papers by Édith Le Floch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Édith Le Floch

This figure shows the co-authorship network connecting the top 25 collaborators of Édith Le Floch. A scholar is included among the top collaborators of Édith Le Floch 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 Édith Le Floch. Édith Le Floch 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.
Cruaud, Corinne, et al.. (2025). Characterization of challenging forensic DNA traces using advanced molecular technologies. International Journal of Legal Medicine. 139(4). 1511–1527. 1 indexed citations
2.
Huttin, Olivier, Constance Xhaard, Édith Le Floch, et al.. (2023). Layer myocardial strain is the most heritable echocardiographic trait. European Heart Journal - Cardiovascular Imaging. 24(10). 1394–1403. 4 indexed citations
3.
Xhaard, Constance, Pierre de Villemereuil, Athanase Bénétos, et al.. (2023). Shared Heritability of Blood Pressure and Pulse Wave Velocity: Insights From the STANISLAS Cohort. Hypertension. 80(7). 1526–1533. 3 indexed citations
4.
Lejeune, François‐Xavier, Farid Ichou, Benoît Colsch, et al.. (2022). A Multimodal Omics Exploration of the Motor and Non-Motor Symptoms of Parkinson’s Disease. SHILAP Revista de lepidopterología. 2(1). 97–112. 3 indexed citations
5.
Mauger, Florence, et al.. (2021). PIntMF: Penalized Integrative Matrix Factorization method for multi-omics data. Bioinformatics. 38(4). 900–907. 2 indexed citations
6.
Xhaard, Constance, Raphaël Rouget, Nicolas Vodovar, et al.. (2021). Impact of Natriuretic Peptide Polymorphisms on Diastolic and Metabolic Function in a Populational Cohort: Insights from the STANISLAS Cohort. ESC Heart Failure. 9(1). 729–739. 7 indexed citations
7.
Mangin, Jean‐François, Yann Le Guen, Cathy Philippe, et al.. (2021). Genome-wide haplotype association study in imaging genetics using whole-brain sulcal openings of 16,304 UK Biobank subjects. European Journal of Human Genetics. 29(9). 1424–1437. 3 indexed citations
8.
Mauger, Florence, et al.. (2021). PIntMF: Penalized Integrative Matrix Factorization Method for\n Multi-Omics Data. arXiv (Cornell University). 13 indexed citations
9.
Frouin, Vincent, Vincent Meyer, Smahane Chalabi, et al.. (2021). Region-specific expression of young small-scale duplications in the human central nervous system. SHILAP Revista de lepidopterología. 21(1). 59–59. 2 indexed citations
10.
Deleuze, Jean‐François, et al.. (2020). Exploring the Link Between Additive Heritability and Prediction Accuracy From a Ridge Regression Perspective. Frontiers in Genetics. 11. 581594–581594. 6 indexed citations
11.
Ferreira, João Pedro, Zohra Lamiral, Constance Xhaard, et al.. (2020). Circulating plasma proteins and new-onset diabetes in a population-based study: proteomic and genomic insights from the STANISLAS cohort. European Journal of Endocrinology. 183(3). 285–295. 10 indexed citations
12.
Xhaard, Constance, Pierre de Villemereuil, Édith Le Floch, et al.. (2019). Heritability of a resting heart rate in a 20-year follow-up family cohort with GWAS data: Insights from the STANISLAS cohort. European Journal of Preventive Cardiology. 28(12). 1334–1341. 12 indexed citations
13.
Guen, Yann Le, et al.. (2019). Multivariate Haplotype Analysis Of 96 Sulci Opening For 15,612 UK-Biobank Sujects. SPIRE - Sciences Po Institutional REpository. 42. 392–395. 1 indexed citations
14.
Deleuze, Jean‐François, et al.. (2019). Clustering and variable selection evaluation of 13 unsupervised methods for multi-omics data integration. Briefings in Bioinformatics. 21(6). 2011–2030. 56 indexed citations
15.
Larsonneur, Élise, et al.. (2018). Evaluating Workflow Management Systems: A Bioinformatics Use Case. SPIRE - Sciences Po Institutional REpository. 2773–2775. 13 indexed citations
16.
Guen, Yann Le, et al.. (2018). A study of feasibility for genome-wide haplotype association of complex traits in imaging genetics. 562. 2764–2766. 1 indexed citations
17.
Oliveira, J., Rémi Kazma, Édith Le Floch, et al.. (2016). Toxoplasma gondii exposure may modulate the influence of TLR2 genetic variation on bipolar disorder: a gene–environment interaction study. International Journal of Bipolar Disorders. 4(1). 11–11. 30 indexed citations
18.
Floch, Édith Le, Vincent Frouin, Philippe Pinel, et al.. (2012). Significant correlation between a set of genetic polymorphisms and a functional brain network revealed by feature selection and sparse Partial Least Squares. NeuroImage. 63(1). 11–24. 80 indexed citations
20.
Fillard, Pierre, Arnaud Cachia, Mônica Zilbovicius, et al.. (2011). Voxelwise Multivariate Statistics and Brain-Wide Machine Learning Using the Full Diffusion Tensor. Lecture notes in computer science. 14(Pt 2). 9–16. 3 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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