François Moreews

1.6k total citations
11 papers, 290 citations indexed

About

François Moreews is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, François Moreews has authored 11 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in François Moreews's work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). François Moreews is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). François Moreews collaborates with scholars based in France, Niger and Sweden. François Moreews's co-authors include Christophe Klopp, Sandrine Lagarrigue, Pascale Le Roy, Christian Diot, Cécile Berri, Madeleine Douaire, Marc Aubry, Colette Désert, Frédéric Herault and Frédéric Lecerf and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Clinical Cancer Research.

In The Last Decade

François Moreews

10 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
François Moreews France 6 165 67 36 25 25 11 290
De-chu C. Tang United States 10 169 1.0× 94 1.4× 52 1.4× 12 0.5× 38 1.5× 12 418
Molly Miranda United States 10 558 3.4× 134 2.0× 17 0.5× 34 1.4× 34 1.4× 20 688
Sébastien Letort France 6 206 1.2× 87 1.3× 26 0.7× 6 0.2× 9 0.4× 7 434
Huiying Zou China 13 241 1.5× 104 1.6× 17 0.5× 12 0.5× 108 4.3× 35 513
Peter E Peterson United States 5 223 1.4× 89 1.3× 43 1.2× 10 0.4× 78 3.1× 5 471
Nimit Jain United States 7 202 1.2× 45 0.7× 47 1.3× 12 0.5× 6 0.2× 16 404
Amanda M. Cooksey United States 11 153 0.9× 64 1.0× 19 0.5× 88 3.5× 17 0.7× 17 334
Jules Nchoutmboube United States 7 214 1.3× 25 0.4× 11 0.3× 22 0.9× 40 1.6× 9 341
Chad V. Kuny United States 9 126 0.8× 44 0.7× 14 0.4× 18 0.7× 15 0.6× 13 419
Carsten Zothner United Kingdom 13 157 1.0× 43 0.6× 16 0.4× 8 0.3× 96 3.8× 16 471

Countries citing papers authored by François Moreews

Since Specialization
Citations

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

Fields of papers citing papers by François Moreews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Moreews

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

All Works

11 of 11 papers shown
1.
2.
Moreews, François, et al.. (2021). PAX2GRAPHML: a python library for large-scale regulation network analysis using BioPAX. Bioinformatics. 37(24). 4889–4891. 1 indexed citations
3.
Guyader-Joly, C., Sylvain Auclair, Christelle Hennequet‐Antier, et al.. (2015). An integrated approach to bovine oocyte quality: from phenotype to genes. Reproduction Fertility and Development. 28(9). 1276–1287. 5 indexed citations
4.
Charlier, Cathy, Jérôme Montfort, Olivier Chabrol, et al.. (2012). Oocyte-somatic cells interactions, lessons from evolution. BMC Genomics. 13(1). 560–560. 40 indexed citations
5.
Moreews, François, et al.. (2011). SigReannot-mart: a query environment for expression microarray probe re-annotations. Database. 2011(0). bar025–bar025. 3 indexed citations
6.
Guziołowski, Carito, et al.. (2009). BioQuali Cytoscape plugin: analysing the global consistency of regulatory networks. BMC Genomics. 10(1). 244–244. 19 indexed citations
7.
Moreews, François, et al.. (2009). sigReannot: an oligo-set re-annotation pipeline based on similarities with the Ensembl transcripts and Unigene clusters. BMC Proceedings. 3(S4). S3–S3. 31 indexed citations
8.
Désert, Colette, Michel Jacques M.J. Duclos, Frédéric Lecerf, et al.. (2008). Transcriptome profiling of the feeding-to-fasting transition in chicken liver. BMC Genomics. 9(1). 611–611. 83 indexed citations
9.
Wessner, Marc, Martin Senger, Franck Samson, et al.. (2008). BioWorkFlow: Web Services toolkit and workflow applications evaluation to deploy a confidence network. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
10.
Kote‐Jarai, Zsofia, Lucy Matthews, Ana Osório, et al.. (2006). Accurate Prediction of BRCA1 and BRCA2 Heterozygous Genotype Using Expression Profiling after Induced DNA Damage. Clinical Cancer Research. 12(13). 3896–3901. 29 indexed citations
11.
Moreews, François, Mathieu Carpentier, Nicolas Renault, et al.. (2005). RPBS: a web resource for structural bioinformatics. Nucleic Acids Research. 33(Web Server). W44–W49. 78 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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