Christophe Marcelle

5.8k total citations
62 papers, 4.4k citations indexed

About

Christophe Marcelle is a scholar working on Molecular Biology, Genetics and Genetics. According to data from OpenAlex, Christophe Marcelle has authored 62 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 16 papers in Genetics and 7 papers in Genetics. Recurrent topics in Christophe Marcelle's work include Developmental Biology and Gene Regulation (25 papers), Congenital heart defects research (22 papers) and Muscle Physiology and Disorders (19 papers). Christophe Marcelle is often cited by papers focused on Developmental Biology and Gene Regulation (25 papers), Congenital heart defects research (22 papers) and Muscle Physiology and Disorders (19 papers). Christophe Marcelle collaborates with scholars based in France, Australia and United States. Christophe Marcelle's co-authors include Marianne Bronner‐Fraser, Jérôme Gros, Olivier Serralbo, Michael R. Stark, Martín I. García‐Castro, Martin Scaal, Marie Manceau, Virginie Thomé, Anne Eichmann and Claudia Linker and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Christophe Marcelle

61 papers receiving 4.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christophe Marcelle France 32 3.6k 873 610 505 500 62 4.4k
Corrinne G. Lobe Canada 31 3.4k 0.9× 871 1.0× 418 0.7× 731 1.4× 536 1.1× 48 5.3k
Glenn L. Radice United States 47 4.1k 1.1× 1.0k 1.2× 1.4k 2.2× 580 1.1× 612 1.2× 77 6.1k
Malcolm Logan United Kingdom 34 4.3k 1.2× 1.2k 1.4× 563 0.9× 376 0.7× 619 1.2× 59 5.3k
Arthur M. Buchberg United States 37 3.7k 1.0× 1.3k 1.5× 787 1.3× 383 0.8× 630 1.3× 77 6.3k
Junhao Mao United States 36 5.3k 1.5× 1.2k 1.4× 1.4k 2.3× 407 0.8× 303 0.6× 59 6.8k
Ronald A. Conlon United States 31 4.9k 1.4× 1.0k 1.2× 857 1.4× 465 0.9× 710 1.4× 45 6.1k
Konstantinos Anastassiadis Germany 41 7.1k 2.0× 1.7k 1.9× 568 0.9× 780 1.5× 359 0.7× 91 8.6k
Jan L. Christian United States 35 5.6k 1.5× 769 0.9× 737 1.2× 254 0.5× 397 0.8× 72 6.2k
Anna Stornaiuolo Italy 19 3.9k 1.1× 1.1k 1.3× 286 0.5× 991 2.0× 498 1.0× 25 5.2k
Andrei Glinka Germany 15 5.0k 1.4× 1.1k 1.2× 591 1.0× 315 0.6× 514 1.0× 21 5.8k

Countries citing papers authored by Christophe Marcelle

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Marcelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christophe Marcelle

This figure shows the co-authorship network connecting the top 25 collaborators of Christophe Marcelle. A scholar is included among the top collaborators of Christophe Marcelle 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 Christophe Marcelle. Christophe Marcelle 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.
Henderson, Lindsay J., Yuya Okuzaki, Christophe Marcelle, Mike J. McGrew, & Ken‐ichi Nishijima. (2025). Avian bioresources for developmental biology: Chicken and quail resources in the United Kingdom, France, and Japan. Developmental Biology. 521. 1–13. 1 indexed citations
2.
Morin, Valérie, et al.. (2025). Early lineage segregation of primary myotubes from secondary myotubes and adult muscle stem cells. Nature Communications. 16(1). 7858–7858.
3.
Ratnayake, Dhanushika, Phong D. Nguyen, Fernando J. Rossello, et al.. (2021). Macrophages provide a transient muscle stem cell niche via NAMPT secretion. Nature. 591(7849). 281–287. 154 indexed citations
4.
Salgado, David, et al.. (2021). TGFβ signalling acts as a molecular brake of myoblast fusion. Nature Communications. 12(1). 749–749. 31 indexed citations
5.
Marcelle, Christophe, et al.. (2017). The chicken embryo as an efficient model to test the function of muscle fusion genes in amniotes. PLoS ONE. 12(5). e0177681–e0177681. 2 indexed citations
6.
Morin, Valérie, et al.. (2017). CRISPR/Cas9 in the Chicken Embryo. Methods in molecular biology. 1650. 113–123. 11 indexed citations
7.
Qu, Zhengdong, et al.. (2015). CRISPR mediated somatic cell genome engineering in the chicken. Developmental Biology. 407(1). 68–74. 60 indexed citations
8.
Salgado, David, Christophe Marcelle, Peter D. Currie, & Robert J. Bryson‐Richardson. (2012). The Zebrafish Anatomy Portal: A novel integrated resource to facilitate zebrafish research. Developmental Biology. 372(1). 1–4. 10 indexed citations
9.
Marcelle, Christophe, et al.. (2012). Two distinct muscle progenitor populations coexist throughout amniote development. Developmental Biology. 373(1). 141–148. 28 indexed citations
10.
Rios, Anne C., Olivier Serralbo, David Salgado, & Christophe Marcelle. (2011). Neural crest regulates myogenesis through the transient activation of NOTCH. Nature. 473(7348). 532–535. 126 indexed citations
11.
Rios, Anne C., Nicolas Denans, & Christophe Marcelle. (2009). Real‐time observation of Wnt β‐catenin signaling in the chick embryo. Developmental Dynamics. 239(1). 346–353. 21 indexed citations
12.
Delfini, Marie-Claire, Jérôme Gros, Olivier Serralbo, et al.. (2009). The timing of emergence of muscle progenitors is controlled by an FGF/ERK/SNAIL1 pathway. Developmental Biology. 333(2). 229–237. 45 indexed citations
13.
Figeac, Nicolas, Małgorzata Daczewska, Christophe Marcelle, & Krzysztof Jagla. (2007). Muscle stem cells and model systems for their investigation. Developmental Dynamics. 236(12). 3332–3342. 47 indexed citations
14.
Manceau, Marie, Christophe Marcelle, & Jérôme Gros. (2005). Une source unique de progéniteurs musculaires. médecine/sciences. 21(11). 915–917. 3 indexed citations
15.
Gros, Jérôme, Marie Manceau, Virginie Thomé, & Christophe Marcelle. (2005). A common somitic origin for embryonic muscle progenitors and satellite cells. Nature. 435(7044). 954–958. 441 indexed citations
16.
Scaal, Martin, et al.. (2004). In ovo electroporation of avian somites. Developmental Dynamics. 229(3). 643–650. 78 indexed citations
17.
Gros, Jérôme, Martin Scaal, & Christophe Marcelle. (2004). A Two-Step Mechanism for Myotome Formation in Chick. Developmental Cell. 6(6). 875–882. 163 indexed citations
18.
Krull, Catherine, Rusty Lansford, Nicholas W. Gale, et al.. (1997). Interactions of Eph-related receptors and ligands confer rostrocaudal pattern to trunk neural crest migration. Current Biology. 7(8). 571–580. 335 indexed citations
19.
Bronner‐Fraser, Marianne, et al.. (1995). The Receptor Tyrosine Kinase QEK5 mRNA Is Expressed in a Gradient within the Neural Retina and the Tectum. Developmental Biology. 172(2). 708–716. 40 indexed citations
20.
Halevy, Orna, et al.. (1994). A New Avian Fibroblast Growth Factor Receptor in Myogenic and Chondrogenic Cell Differentiation. Experimental Cell Research. 212(2). 278–284. 31 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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