Sébastien Moretti

6.3k total citations · 1 hit paper
28 papers, 2.3k citations indexed

About

Sébastien Moretti is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Sébastien Moretti has authored 28 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Biomedical Engineering. Recurrent topics in Sébastien Moretti's work include Genomics and Phylogenetic Studies (13 papers), Bioinformatics and Genomic Networks (8 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). Sébastien Moretti is often cited by papers focused on Genomics and Phylogenetic Studies (13 papers), Bioinformatics and Genomic Networks (8 papers) and Microbial Metabolic Engineering and Bioproduction (7 papers). Sébastien Moretti collaborates with scholars based in Switzerland, France and United Kingdom. Sébastien Moretti's co-authors include Cédric Notredame, Ioannis Xénarios, Jia‐Ming Chang, Paolo Di Tommaso, Jean-François Taly, Fabrice Armougom, Marco Pagni, Stéphane Audic, Olivier Poirot and Marc Robinson‐Rechavi and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Sébastien Moretti

27 papers receiving 2.3k 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 web server for the multiple sequence alignment of protein and RNA sequences using structural information and homology extension

2011 869 citations Paolo Di Tommaso, Sébastien Moretti 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
Sébastien Moretti Switzerland	16	1.6k	362	357	217	166	28	2.3k
Mahmut Uludağ Saudi Arabia	10	1.5k 1.0×	280 0.8×	381 1.1×	241 1.1×	80 0.5×	24	2.4k
Alexandre Gattiker Switzerland	13	1.7k 1.1×	379 1.0×	463 1.3×	145 0.7×	63 0.4×	14	2.5k
Petra Langendijk-Genevaux Switzerland	10	1.8k 1.2×	266 0.7×	498 1.4×	190 0.9×	68 0.4×	13	2.6k
Alexander Rosenberg Johansen Denmark	11	1.2k 0.8×	184 0.5×	464 1.3×	242 1.1×	107 0.6×	13	2.2k
Ulrich Omasits Switzerland	21	1.5k 1.0×	310 0.9×	334 0.9×	289 1.3×	127 0.8×	27	2.6k
Ian Humphery‐Smith Australia	21	2.0k 1.3×	271 0.7×	292 0.8×	282 1.3×	153 0.9×	65	3.2k
Céline Henry France	29	1.3k 0.8×	412 1.1×	515 1.4×	244 1.1×	173 1.0×	92	2.7k
Nicolas Hulo Switzerland	20	2.7k 1.7×	327 0.9×	567 1.6×	218 1.0×	118 0.7×	31	3.8k
Grzegorz M. Boratyn United States	6	1.1k 0.7×	240 0.7×	383 1.1×	295 1.4×	65 0.4×	14	2.0k
Zhouxi Wang United States	8	1.8k 1.1×	269 0.7×	908 2.5×	338 1.6×	117 0.7×	8	2.9k

Countries citing papers authored by Sébastien Moretti

Since Specialization

Citations

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

Fields of papers citing papers by Sébastien Moretti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sébastien Moretti

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

All Works

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20 of 20 papers shown

Moretti, Sébastien, Anne Niknejad, Marco Pagni, & Florence Mehl. (2025). MetaNetX: a bridge between metabolic resources for enhanced curation and multi-omics data harmonization. Nucleic Acids Research. 54(D1). D617–D622.

Bolleman, Jerven, Vincent Emonet, Adrian Altenhoff, et al.. (2025). A large collection of bioinformatics question–query pairs over federated knowledge graphs: methodology and applications. GigaScience. 14. 2 indexed citations

Gaudry, Arnaud, Marco Pagni, Florence Mehl, et al.. (2024). A Sample-Centric and Knowledge-Driven Computational Framework for Natural Products Drug Discovery. ACS Central Science. 10(3). 494–510. 11 indexed citations

Bastian, Frederic, Harald Detering, Wan‐Ting Huang, et al.. (2024). Bgee in 2024: focus on curated single-cell RNA-seq datasets, and query tools. Nucleic Acids Research. 53(D1). D878–D885. 7 indexed citations

Gutowska‐Owsiak, Danuta, Sébastien Moretti, Jarosław Poznański, et al.. (2022). Ni2+-Assisted Hydrolysis May Affect the Human Proteome; Filaggrin Degradation Ex Vivo as an Example of Possible Consequences. Frontiers in Molecular Biosciences. 9. 828674–828674. 5 indexed citations

Moretti, Sébastien, Van Du T. Tran, Florence Mehl, Mark Ibberson, & Marco Pagni. (2020). MetaNetX/MNXref: unified namespace for metabolites and biochemical reactions in the context of metabolic models. Nucleic Acids Research. 49(D1). D570–D574. 99 indexed citations

Tran, Van Du T., et al.. (2018). Condition-specific series of metabolic sub-networks and its application for gene set enrichment analysis. Bioinformatics. 35(13). 2258–2266. 12 indexed citations

Daub, Joséphine T., Sébastien Moretti, Iakov I. Davydov, Laurent Excoffier, & Marc Robinson‐Rechavi. (2017). Detection of Pathways Affected by Positive Selection in Primate Lineages Ancestral to Humans. Molecular Biology and Evolution. 34(6). 1391–1402. 41 indexed citations

Morgat, Anne, Thierry Lombardot, Kristian B. Axelsen, et al.. (2016). Updates in Rhea – an expert curated resource of biochemical reactions. Nucleic Acids Research. 45(D1). D415–D418. 39 indexed citations

10.

Roux, Julien, Eyal Privman, Sébastien Moretti, et al.. (2014). Patterns of Positive Selection in Seven Ant Genomes. Molecular Biology and Evolution. 31(7). 1661–1685. 104 indexed citations

11.

Moretti, Sébastien, Balazs Laurenczy, Walid H. Gharib, et al.. (2013). Selectome update: quality control and computational improvements to a database of positive selection. Nucleic Acids Research. 42(D1). D917–D921. 46 indexed citations

12.

Piasecka, Barbara, Paweł Lichocki, Sébastien Moretti, Sven Bergmann, & Marc Robinson‐Rechavi. (2013). The Hourglass and the Early Conservation Models—Co-Existing Patterns of Developmental Constraints in Vertebrates. PLoS Genetics. 9(4). e1003476–e1003476. 53 indexed citations

13.

Cohen, David, Marie‐Béatrice Bogeat‐Triboulot, Silvère Vialet‐Chabrand, et al.. (2013). Developmental and Environmental Regulation of Aquaporin Gene Expression across Populus Species: Divergence or Redundancy?. PLoS ONE. 8(2). e55506–e55506. 34 indexed citations

14.

Tommaso, Paolo Di, Sébastien Moretti, Ioannis Xénarios, et al.. (2011). T-Coffee: a web server for the multiple sequence alignment of protein and RNA sequences using structural information and homology extension. Nucleic Acids Research. 39(suppl). W13–W17. 869 indexed citations breakdown →

15.

Moretti, Sébastien, Andreas Wilm, Desmond G. Higgins, Ioannis Xénarios, & Cédric Notredame. (2008). R-Coffee: a web server for accurately aligning noncoding RNA sequences. Nucleic Acids Research. 36(Web Server). W10–W13. 57 indexed citations

16.

Studer, Romain A., et al.. (2008). Selectome: a database of positive selection. Nucleic Acids Research. 37(Database). D404–D407. 33 indexed citations

17.

Moretti, Sébastien, Fabrice Armougom, Iain M. Wallace, et al.. (2007). The M-Coffee web server: a meta-method for computing multiple sequence alignments by combining alternative alignment methods. Nucleic Acids Research. 35(Web Server). W645–W648. 177 indexed citations

18.

Armougom, Fabrice, Sébastien Moretti, Olivier Poirot, et al.. (2006). Expresso: automatic incorporation of structural information in multiple sequence alignments using 3D-Coffee. Nucleic Acids Research. 34(Web Server). W604–W608. 400 indexed citations

19.

Moretti, Sébastien, et al.. (2006). PROTOGENE: turning amino acid alignments into bona fide CDS nucleotide alignments. Nucleic Acids Research. 34(Web Server). W600–W603. 11 indexed citations

20.

Ben, Cécile, Tarek Hewezi, Marie‐Françoise Jardinaud, et al.. (2005). Comparative analysis of early embryonic sunflower cDNA libraries. Plant Molecular Biology. 57(2). 255–270. 15 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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