Cédric Notredame

34.0k total citations · 3 hit papers
105 papers, 13.3k citations indexed

About

Cédric Notredame is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Cédric Notredame has authored 105 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Molecular Biology, 18 papers in Genetics and 11 papers in Artificial Intelligence. Recurrent topics in Cédric Notredame's work include Genomics and Phylogenetic Studies (61 papers), RNA and protein synthesis mechanisms (28 papers) and Glycosylation and Glycoproteins Research (19 papers). Cédric Notredame is often cited by papers focused on Genomics and Phylogenetic Studies (61 papers), RNA and protein synthesis mechanisms (28 papers) and Glycosylation and Glycoproteins Research (19 papers). Cédric Notredame collaborates with scholars based in Spain, France and Switzerland. Cédric Notredame's co-authors include Desmond G. Higgins, Jaap Heringa, Paolo Di Tommaso, Jia‐Ming Chang, Sébastien Moretti, Giovanni Bussotti, Carsten Kemena, Jean-François Taly, Matthias Zytnicki and Ionas Erb and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Cédric Notredame

104 papers receiving 13.0k 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.

T-coffee: a novel method for fast and accurate multiple sequence alignment 1 1Edited by J. Thornton

2000 5.5k citations Cédric Notredame, Desmond G. Higgins et al. profile →
Long Noncoding RNAs with Enhancer-like Function in Human Cells

2010 1.5k citations Giovanni Bussotti, Cédric Notredame et al. profile →
T-Coffee: a web server for the multiple sequence alignment of protein and RNA sequences using structural information and homology extension

2011 869 citations Paolo Di Tommaso, Jia‐Ming Chang et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cédric Notredame Spain	41	9.5k	1.8k	1.8k	1.6k	982	105	13.3k
David Wheeler United States	25	9.9k 1.0×	1.9k 1.0×	1.9k 1.1×	691 0.4×	1.7k 1.7×	86	14.0k
Edward M. Marcotte United States	71	18.8k 2.0×	1.7k 0.9×	3.2k 1.9×	991 0.6×	928 0.9×	236	23.6k
Miguel A. Andrade‐Navarro Germany	60	11.9k 1.3×	849 0.5×	1.3k 0.7×	1.9k 1.2×	375 0.4×	268	15.3k
Ioannis Xénarios Switzerland	52	10.3k 1.1×	2.0k 1.1×	1.2k 0.7×	650 0.4×	671 0.7×	171	14.3k
Zhang Zhang China	53	7.2k 0.8×	2.8k 1.5×	1.4k 0.8×	2.0k 1.3×	753 0.8×	357	12.4k
Nicholas M. Luscombe United Kingdom	57	13.6k 1.4×	1.3k 0.7×	2.3k 1.3×	1.6k 1.0×	522 0.5×	131	15.7k
Henning Hermjakob United Kingdom	54	12.8k 1.4×	945 0.5×	1.2k 0.7×	1.0k 0.6×	571 0.6×	213	17.4k
Andreas Heger United Kingdom	34	10.7k 1.1×	3.3k 1.8×	2.2k 1.3×	1.3k 0.8×	1.7k 1.8×	55	15.9k
Thomas Dandekar Germany	61	8.6k 0.9×	1.8k 1.0×	1.3k 0.8×	608 0.4×	1.8k 1.8×	369	14.8k
Michiel de Hoon Japan	29	6.9k 0.7×	1.0k 0.5×	1.2k 0.7×	1.4k 0.9×	841 0.9×	67	9.6k

Countries citing papers authored by Cédric Notredame

Since Specialization

Citations

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

Fields of papers citing papers by Cédric Notredame

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cédric Notredame

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sasse, Alexander, Debashish Ray, Kaitlin U. Laverty, et al.. (2025). A resource of RNA-binding protein motifs across eukaryotes reveals evolutionary dynamics and gene-regulatory function. Nature Biotechnology. 4 indexed citations

Guegan, Fabien, K. Shanmugha Rajan, Fábio Bento, et al.. (2022). A long noncoding RNA promotes parasite differentiation in African trypanosomes. Science Advances. 8(24). eabn2706–eabn2706. 19 indexed citations

Langer, Björn E., et al.. (2022). Highly significant improvement of protein sequence alignments with AlphaFold2. Bioinformatics. 38(22). 5007–5011. 10 indexed citations

Espinosa‐Carrasco, Jose, et al.. (2022). nf-core/proteinfold: a bioinformatics best-practice analysis pipeline for protein 3D structure prediction. Zenodo (CERN European Organization for Nuclear Research).

Quinn, Thomas P., Ionas Erb, Gregory B. Gloor, et al.. (2019). A field guide for the compositional analysis of any-omics data. GigaScience. 8(9). 195 indexed citations

Tommaso, Paolo Di, Cedrik Magis, Ionas Erb, et al.. (2019). Large multiple sequence alignments with a root-to-leaf regressive method. Nature Biotechnology. 37(12). 1466–1470. 20 indexed citations

Chang, Jia‐Ming, Evan Floden, Javier Herrero, et al.. (2019). Incorporating alignment uncertainty into Felsenstein’s phylogenetic bootstrap to improve its reliability. Bioinformatics. 37(11). 1506–1514. 8 indexed citations

Espinosa‐Carrasco, Jose, Aurelijus Burokas, Ionas Erb, et al.. (2018). Time‐course and dynamics of obesity‐related behavioral changes induced by energy‐dense foods in mice. Addiction Biology. 23(2). 531–543. 14 indexed citations

Chorostecki, Uciel, et al.. (2017). Evolutionary Footprints Reveal Insights into Plant MicroRNA Biogenesis. The Plant Cell. 29(6). 1248–1261. 55 indexed citations

10.

Burokas, Aurelijus, Elena Martín‐García, Jose Espinosa‐Carrasco, et al.. (2017). Extinction and reinstatement of an operant responding maintained by food in different models of obesity. Addiction Biology. 23(2). 544–555. 14 indexed citations

11.

Catuara‐Solarz, Silvina, Jose Espinosa‐Carrasco, Ionas Erb, et al.. (2016). Combined Treatment With Environmental Enrichment and (-)-Epigallocatechin-3-Gallate Ameliorates Learning Deficits and Hippocampal Alterations in a Mouse Model of Down Syndrome. eNeuro. 3(5). ENEURO.0103–16.2016. 75 indexed citations

12.

Floden, Evan, Paolo Di Tommaso, Maria Chatzou, et al.. (2016). PSI/TM-Coffee: a web server for fast and accurate multiple sequence alignments of regular and transmembrane proteins using homology extension on reduced databases. Nucleic Acids Research. 44(W1). W339–W343. 41 indexed citations

13.

Bussotti, Giovanni, Tommaso Leonardi, Michael B. Clark, et al.. (2016). Improved definition of the mouse transcriptome via targeted RNA sequencing. Genome Research. 26(5). 705–716. 22 indexed citations

14.

Ramírez‐Estrada, Karla, Teresa Altabella, Miriam Onrubia, et al.. (2015). Transcript profiling of jasmonate‐elicited Taxus cells reveals a β‐phenylalanine‐CoA ligase. Plant Biotechnology Journal. 14(1). 85–96. 37 indexed citations

15.

Rius, Josep, et al.. (2011). A user-friendly web portal for T-Coffee on supercomputers. BMC Bioinformatics. 12(1). 150–150. 4 indexed citations

16.

Gauthier, Jacques‐Antoine, Éric Widmer, Philipp Bücher, & Cédric Notredame. (2008). Multichannel Sequence Analysis Applied to Social Science Data. SSRN Electronic Journal. 2 indexed citations

17.

Gauthier, Jacques‐Antoine, Éric Widmer, Philipp Bücher, & Cédric Notredame. (2007). How Much Does it Cost? Optimization of Costs in Sequence Analysis of Social Science Data. SSRN Electronic Journal. 4 indexed citations

18.

Notredame, Cédric. (2007). Recent Evolutions of Multiple Sequence Alignment Algorithms. PLoS Computational Biology. 3(8). e123–e123. 139 indexed citations

19.

Notredame, Cédric, et al.. (2003). Using Multiple Alignment Methods to Assess the Quality of Genomic Data Analysis.. IRIS. 21 indexed citations

20.

O’Sullivan, Órla, et al.. (2003). APDB: a novel measure for benchmarking sequencealignment methods without reference alignments. Bioinformatics. 19(suppl_1). i215–i221. 40 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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