Charles Marcaillou

1.8k total citations · 1 hit paper
14 papers, 1.1k citations indexed

About

Charles Marcaillou is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Charles Marcaillou has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Charles Marcaillou's work include Reproductive Biology and Fertility (4 papers), Cancer Genomics and Diagnostics (4 papers) and Molecular Biology Techniques and Applications (3 papers). Charles Marcaillou is often cited by papers focused on Reproductive Biology and Fertility (4 papers), Cancer Genomics and Diagnostics (4 papers) and Molecular Biology Techniques and Applications (3 papers). Charles Marcaillou collaborates with scholars based in France, United States and Netherlands. Charles Marcaillou's co-authors include Aurélien de Reyniès, Paule Bénit, Laurence Amar, Céline Loriot, Cosimo Martinelli, Éric Letouzé, Chris Ottolenghi, Nelly Burnichon, Anne‐Paule Gimenez‐Roqueplo and Jérôme Bertherat and has published in prestigious journals such as Science, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Charles Marcaillou

13 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

SDH Mutations Establish a Hypermethylator Phenotype in Paraganglioma

2013 551 citations Éric Letouzé, Cosimo Martinelli et al. Cancer Cell profile →

Peers

Charles Marcaillou

SURGE

EDM

PHEOH

Roberto Bandiera United Kingdom

Dalia L. Batista United States

Ludo Deboel Belgium

Mark J. McCabe United Kingdom

Martha Noel United States

Song-Guang Ren United States

Tadayuki Akagi Japan

Yumiko Okubo Japan

Ke Hao China

Baoyuan Bi United States

Roberto Bandiera United Kingdom

Charles Marcaillou

630 ×1.1

211 ×0.4

141 ×0.6

SURGE

68 ×0.4

EDM

32 ×0.3

PHEOH

Citations per year, relative to Charles Marcaillou Charles Marcaillou (= 1×) peers Roberto Bandiera

Countries citing papers authored by Charles Marcaillou

Since Specialization

Citations

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

Fields of papers citing papers by Charles Marcaillou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Marcaillou

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

All Works

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14 of 14 papers shown

Sassi, Maria Paola, Henri Azaïs, Charles Marcaillou, et al.. (2025). Improved tumor-type informed compared to tumor-informed mutation tracking for ctDNA detection and microscopic residual disease assessment in epithelial ovarian cancer. Journal of Experimental & Clinical Cancer Research. 44(1). 174–174.

Renaud, Yoan, Rachel Guiton, Maria Paola Sassi, et al.. (2024). Exploring the Epigenetic Landscape of Spermatozoa: Impact of Oxidative Stress and Antioxidant Supplementation on DNA Methylation and Hydroxymethylation. Antioxidants. 13(12). 1520–1520. 3 indexed citations

David, Catherine, Karine Fontaine, Charles Marcaillou, et al.. (2018). Technical Validation of a Reverse-Transcription Quantitative Polymerase Chain Reaction In Vitro Diagnostic Test for the Determination of MiR-31-3p Expression Levels in Formalin-Fixed Paraffin-Embedded Metastatic Colorectal Cancer Tumor Specimens. Biomarker Insights. 13. 4203060573–4203060573. 10 indexed citations

Koeppel, Florence, Steven G. Blanchard, Cécile Jovelet, et al.. (2017). Whole exome sequencing for determination of tumor mutation load in liquid biopsy from advanced cancer patients. PLoS ONE. 12(11). e0188174–e0188174. 81 indexed citations

Faugeroux, Vincent, Céline Lefèbvre, Emma Pailler, et al.. (2017). Whole-exome sequencing of single circulating tumor cells is a useful tool for studying the intrapatient genetic heterogeneity in metastatic prostate cancer.. Journal of Clinical Oncology. 35(6_suppl). 148–148. 3 indexed citations

Boucret, Lisa, Juan Manuel Chao de la Barca, Catherine Morinière, et al.. (2015). Relationship between diminished ovarian reserve and mitochondrial biogenesis in cumulus cells. Human Reproduction. 30(7). 1653–1664. 124 indexed citations

Marcaillou, Charles, Cécile Réyès, Aurélie Honoré, et al.. (2015). Massively parallel DNA sequencing from routinely processed cytological smears. Cancer Cytopathology. 124(4). 241–253. 11 indexed citations

Letouzé, Éric, Cosimo Martinelli, Céline Loriot, et al.. (2013). SDH Mutations Establish a Hypermethylator Phenotype in Paraganglioma. Cancer Cell. 23(6). 739–752. 551 indexed citations breakdown →

May‐Panloup, Pascale, Véronique Ferré-L’Hôtellier, Catherine Morinière, et al.. (2012). Molecular characterization of corona radiata cells from patients with diminished ovarian reserve using microarray and microfluidic-based gene expression profiling. Human Reproduction. 27(3). 829–843. 42 indexed citations

10.

May‐Panloup, Pascale, Véronique Ferré-L’Hôtellier, Catherine Morinière, et al.. (2012). Profil d’expression des cellules de la corona radiata chez les patientes présentant une réserve ovarienne diminuée. Gynécologie Obstétrique & Fertilité. 40(9). 500–506. 1 indexed citations

11.

Edery, Patrick, Charles Marcaillou, Mourad Sahbatou, et al.. (2011). Association of TALS Developmental Disorder with Defect in Minor Splicing Component U4atac snRNA. Science. 332(6026). 240–243. 159 indexed citations

12.

Brooks, Peter, Charles Marcaillou, Jean‐Paul Saraiva, et al.. (2009). Robust physical methods that enrich genomic regions identical by descent for linkage studies: confirmation of a locus for osteogenesis imperfecta. BMC Genetics. 10(1). 16–16. 6 indexed citations

13.

Philippi, Anne, Frédéric Torès, Pierre Lindenbaum, et al.. (2005). Haplotypes in the gene encoding protein kinase c-beta (PRKCB1) on chromosome 16 are associated with autism. Molecular Psychiatry. 10(10). 950–960. 53 indexed citations

14.

Marcaillou, Charles, et al.. (1973). Données histophysiologiques sur le développement post-embryonnaire d'un insecte Trichoptère (Phryganea varia Fab.). Annales de Limnologie - International Journal of Limnology. 9(2). 157–176. 6 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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