Emmanuel Courcelle

4.5k total citations · 2 hit papers
7 papers, 3.3k citations indexed

About

Emmanuel Courcelle is a scholar working on Molecular Biology, Materials Chemistry and Plant Science. According to data from OpenAlex, Emmanuel Courcelle has authored 7 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Materials Chemistry and 2 papers in Plant Science. Recurrent topics in Emmanuel Courcelle's work include Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (2 papers) and Genomics and Phylogenetic Studies (2 papers). Emmanuel Courcelle is often cited by papers focused on Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (2 papers) and Genomics and Phylogenetic Studies (2 papers). Emmanuel Courcelle collaborates with scholars based in France, United States and Germany. Emmanuel Courcelle's co-authors include Patrice Gouet, David I. Stuart, Jérôme Gouzy, Ludovic Cottret, Pascal Gamas, Laurent Sauviac, Erika Sallet, Nathalie Rodde, Marie‐Françoise Jardinaud and Sébastien Carrère and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Emmanuel Courcelle

7 papers receiving 3.2k citations

Hit Papers

ESPript: analysis of multiple sequence alignments in Post... 1999 2026 2008 2017 1999 2014 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emmanuel Courcelle France 6 2.0k 696 586 432 302 7 3.3k
Eduardo A. Ceccarelli Argentina 26 3.2k 1.6× 528 0.8× 383 0.7× 513 1.2× 178 0.6× 73 4.2k
Vincent Villeret France 31 1.9k 0.9× 319 0.5× 498 0.8× 597 1.4× 367 1.2× 85 2.9k
S. Moréra France 33 3.1k 1.5× 640 0.9× 659 1.1× 358 0.8× 155 0.5× 90 3.7k
Paul G. Young New Zealand 26 1.9k 0.9× 425 0.6× 359 0.6× 200 0.5× 264 0.9× 76 2.7k
Alastair R. Hawkins United Kingdom 29 2.0k 1.0× 351 0.5× 513 0.9× 436 1.0× 212 0.7× 92 2.7k
Huanting Liu United Kingdom 29 2.6k 1.3× 610 0.9× 301 0.5× 601 1.4× 137 0.5× 54 3.5k
Renwick C. J. Dobson New Zealand 35 2.7k 1.3× 486 0.7× 1.2k 2.0× 361 0.8× 180 0.6× 164 4.1k
Ivo Tews Germany 32 2.5k 1.2× 396 0.6× 499 0.9× 212 0.5× 181 0.6× 70 3.4k
Petr Halada Czechia 34 2.4k 1.2× 677 1.0× 157 0.3× 427 1.0× 343 1.1× 177 4.2k
Masao Tokunaga Japan 31 2.4k 1.2× 252 0.4× 441 0.8× 670 1.6× 126 0.4× 138 3.1k

Countries citing papers authored by Emmanuel Courcelle

Since Specialization
Citations

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

Fields of papers citing papers by Emmanuel Courcelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanuel Courcelle

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

All Works

7 of 7 papers shown
1.
Roux, Brice, Nathalie Rodde, Marie‐Françoise Jardinaud, et al.. (2014). An integrated analysis of plant and bacterial gene expression in symbiotic root nodules using laser‐capture microdissection coupled to RNA sequencing. The Plant Journal. 77(6). 817–837. 344 indexed citations breakdown →
2.
Salse, Jérôme, Michaël Abrouk, Stéphanie Bolot, et al.. (2009). Reconstruction of monocotelydoneous proto-chromosomes reveals faster evolution in plants than in animals. Proceedings of the National Academy of Sciences. 106(35). 14908–14913. 110 indexed citations
3.
Courcelle, Emmanuel, et al.. (2007). Narcisse: a mirror view of conserved syntenies. Nucleic Acids Research. 36(suppl_1). D485–D490. 21 indexed citations
4.
Gouet, Patrice, Xavier Robert, & Emmanuel Courcelle. (2005). ESPript/ENDscript: sequence and 3D information from protein structures. Acta Crystallographica Section A Foundations of Crystallography. 61(a1). c42–c43. 5 indexed citations
5.
Gouet, Patrice & Emmanuel Courcelle. (2002). ENDscript: a workflow to display sequence and structure information. Bioinformatics. 18(5). 767–768. 49 indexed citations
6.
Pédelacq, J.D., Laurent Maveyraud, Gilles Prévost, et al.. (1999). The structure of a Staphylococcus aureus leucocidin component (LukF-PV) reveals the fold of the water-soluble species of a family of transmembrane pore-forming toxins. Structure. 7(3). 277–287. 121 indexed citations
7.
Gouet, Patrice, et al.. (1999). ESPript: analysis of multiple sequence alignments in PostScript.. Bioinformatics. 15(4). 305–308. 2615 indexed citations breakdown →

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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