Anne Morgat

32.5k total citations
24 papers, 1.4k citations indexed

About

Anne Morgat is a scholar working on Molecular Biology, Parasitology and Pharmacology. According to data from OpenAlex, Anne Morgat has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 3 papers in Parasitology and 2 papers in Pharmacology. Recurrent topics in Anne Morgat's work include Microbial Metabolic Engineering and Bioproduction (13 papers), Bioinformatics and Genomic Networks (8 papers) and Genomics and Phylogenetic Studies (5 papers). Anne Morgat is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (13 papers), Bioinformatics and Genomic Networks (8 papers) and Genomics and Phylogenetic Studies (5 papers). Anne Morgat collaborates with scholars based in Switzerland, France and United Kingdom. Anne Morgat's co-authors include Alan Bridge, Bernard Henrissat, V. Bissery, Christine Gaboriaud, Jean‐Paul Mornon, Elisabeth Coudert, Kristian B. Axelsen, Ioannis Xénarios, Eugeni Belda and Marco Pagni and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Molecular and Cellular Biology.

In The Last Decade

Anne Morgat

24 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Morgat Switzerland 15 1.1k 205 172 156 118 24 1.4k
Steven D. Hartson United States 28 1.4k 1.3× 107 0.5× 107 0.6× 160 1.0× 87 0.7× 65 1.9k
Martin Marek Czechia 23 1.3k 1.2× 65 0.3× 99 0.6× 163 1.0× 58 0.5× 72 1.8k
Heather K. Lamb United Kingdom 26 1.1k 1.0× 65 0.3× 243 1.4× 180 1.2× 115 1.0× 62 1.5k
Wayne M. Patrick New Zealand 25 1.6k 1.5× 224 1.1× 295 1.7× 160 1.0× 116 1.0× 62 2.1k
Michael Tognolli Switzerland 8 1.3k 1.2× 74 0.4× 153 0.9× 657 4.2× 87 0.7× 11 1.9k
Jon E. Ness United States 13 1.4k 1.3× 181 0.9× 280 1.6× 84 0.5× 172 1.5× 14 1.7k
Richard M. Walmsley United Kingdom 28 1.3k 1.2× 135 0.7× 132 0.8× 429 2.8× 43 0.4× 65 2.1k
James F. Parsons United States 23 1.2k 1.1× 81 0.4× 162 0.9× 277 1.8× 86 0.7× 52 1.6k
James N. D. Battey Switzerland 12 1.5k 1.4× 63 0.3× 172 1.0× 659 4.2× 139 1.2× 21 2.2k
Michael Fonstein United States 12 1.4k 1.3× 82 0.4× 300 1.7× 185 1.2× 24 0.2× 17 1.7k

Countries citing papers authored by Anne Morgat

Since Specialization
Citations

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

Fields of papers citing papers by Anne Morgat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Morgat

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Morgat. A scholar is included among the top collaborators of Anne Morgat 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 Anne Morgat. Anne Morgat 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.
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
2.
Lai, Po‐Ting, Elisabeth Coudert, Lucila Aimo, et al.. (2024). EnzChemRED, a rich enzyme chemistry relation extraction dataset. Scientific Data. 11(1). 982–982. 3 indexed citations
3.
Bansal, Parit, Anne Morgat, Kristian B. Axelsen, et al.. (2021). Rhea, the reaction knowledgebase in 2022. Nucleic Acids Research. 50(D1). D693–D700. 126 indexed citations
4.
Feuermann, Marc, Emmanuel Boutet, Anne Morgat, et al.. (2021). Diverse Taxonomies for Diverse Chemistries: Enhanced Representation of Natural Product Metabolism in UniProtKB. Metabolites. 11(1). 48–48. 3 indexed citations
5.
Morgat, Anne, Thierry Lombardot, Elisabeth Coudert, et al.. (2019). Enzyme annotation in UniProtKB using Rhea. Bioinformatics. 36(6). 1896–1901. 69 indexed citations
6.
Lombardot, Thierry, Anne Morgat, Kristian B. Axelsen, et al.. (2018). Updates in Rhea: SPARQLing biochemical reaction data. Nucleic Acids Research. 47(D1). D596–D600. 43 indexed citations
7.
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
8.
Belda, Eugeni, Ruben Heck, María José López Sánchez, et al.. (2016). The revisited genome of Pseudomonas putida KT2440 enlightens its value as a robust metabolic chassis. Environmental Microbiology. 18(10). 3403–3424. 255 indexed citations
9.
Belda, Eugeni, Agnieszka Sekowska, François Le Fèvre, et al.. (2013). An updated metabolic view of the Bacillus subtilis 168 genome. Microbiology. 159(Pt_4). 757–770. 63 indexed citations
10.
Bernard, Thomas, Alan Bridge, Anne Morgat, et al.. (2012). Reconciliation of metabolites and biochemical reactions for metabolic networks. Briefings in Bioinformatics. 15(1). 123–135. 45 indexed citations
11.
Alcántara, Rafael, Kristian B. Axelsen, Anne Morgat, et al.. (2011). Rhea—a manually curated resource of biochemical reactions. Nucleic Acids Research. 40(D1). D754–D760. 74 indexed citations
12.
Morgat, Anne, Éric Coissac, Elisabeth Coudert, et al.. (2011). UniPathway: a resource for the exploration and annotation of metabolic pathways. Nucleic Acids Research. 40(D1). D761–D769. 75 indexed citations
13.
Vachiéry, Nathalie, Gaël Darren Maganga, Thierry Lefrançois, et al.. (2007). Differential strain-specific diagnosis of the heartwater agent: Ehrlichia ruminantium. Infection Genetics and Evolution. 8(4). 459–466. 3 indexed citations
14.
Frutos, Roger, Alain Viari, Conchita Ferraz, et al.. (2006). Comparative Genomics of Three Strains of Ehrlichia ruminantium. Annals of the New York Academy of Sciences. 1081(1). 417–433. 12 indexed citations
15.
Boyer, Frédéric, Anne Morgat, Laurent Labarre, Joël Pothier, & Alain Viari. (2005). Syntons, metabolons and interactons: an exact graph-theoretical approach for exploring neighbourhood between genomic and functional data. Bioinformatics. 21(23). 4209–4215. 28 indexed citations
16.
Durand, Patrick, Claudine Médigue, Anne Morgat, et al.. (2003). Integration of data and methods for genome analysis.. PubMed. 6(3). 346–52. 13 indexed citations
17.
Morgat, Anne, et al.. (1993). MANSEK and SUNHCA. Two interactive programs for the hydrophobic cluster analysis of protein sequences. Computer applications in the biosciences. 9(1). 37–44. 2 indexed citations
18.
Henrissat, Bernard, et al.. (1990). Hydrophobic cluster analysis: procedures to derive structural and functional information from 2-D-representation of protein sequences. Biochimie. 72(8). 555–574. 268 indexed citations
19.
Debüssche, Laurent, et al.. (1989). Antibodies to Synthetic Peptide from the Residue 33 to 42 Domain of c-Ha- ras p21 Block Reconstitution of the Protein with Different Effectors. Molecular and Cellular Biology. 9(9). 3904–3910. 22 indexed citations
20.
Morgat, Anne, et al.. (1989). Antibodies to synthetic peptide from the residue 33 to 42 domain of c-Ha-ras p21 block reconstitution of the protein with different effectors.. Molecular and Cellular Biology. 9(9). 3904–3910. 10 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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