Catherine Rivoire

37.6k total citations
9 papers, 410 citations indexed

About

Catherine Rivoire is a scholar working on Molecular Biology, Artificial Intelligence and Biophysics. According to data from OpenAlex, Catherine Rivoire has authored 9 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Biophysics. Recurrent topics in Catherine Rivoire's work include Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (5 papers) and Machine Learning in Bioinformatics (4 papers). Catherine Rivoire is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), RNA and protein synthesis mechanisms (5 papers) and Machine Learning in Bioinformatics (4 papers). Catherine Rivoire collaborates with scholars based in Switzerland, United Kingdom and United States. Catherine Rivoire's co-authors include Andrea H Auchincloss, Elisabeth Coudert, Edouard de Castro, Delphine Baratin, G. Keller, Lydie Bougueleret, Tânia Lima, C. Lachaize, Amos Bairoch and Nicole Redaschi and has published in prestigious journals such as Nucleic Acids Research, Scientific Data and GigaScience.

In The Last Decade

Catherine Rivoire

9 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Catherine Rivoire Switzerland	7	332	76	45	45	31	9	410
Delphine Baratin Switzerland	5	273 0.8×	69 0.9×	38 0.8×	45 1.0×	15 0.5×	5	353
G. Keller Switzerland	4	278 0.8×	71 0.9×	42 0.9×	44 1.0×	17 0.5×	4	352
Andrea H Auchincloss Switzerland	14	580 1.7×	98 1.3×	55 1.2×	101 2.2×	32 1.0×	19	677
Olga Kunyavskaya Russia	5	349 1.1×	95 1.3×	37 0.8×	47 1.0×	14 0.5×	6	422
Josephine Burgin United Kingdom	3	331 1.0×	101 1.3×	26 0.6×	25 0.6×	14 0.5×	4	402
Frédéric Grenier Canada	11	432 1.3×	102 1.3×	130 2.9×	21 0.5×	38 1.2×	19	573
Violeta Zorraquino United States	8	302 0.9×	66 0.9×	120 2.7×	44 1.0×	9 0.3×	9	399
Marc Schaffer Germany	10	371 1.1×	137 1.8×	198 4.4×	56 1.2×	32 1.0×	14	483
Giuseppe Profiti Italy	7	299 0.9×	21 0.3×	45 1.0×	157 3.5×	13 0.4×	12	456
Thenmalarchelvi Rathinavelan India	14	320 1.0×	126 1.7×	99 2.2×	23 0.5×	11 0.4×	44	553

Countries citing papers authored by Catherine Rivoire

Since Specialization

Citations

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

Fields of papers citing papers by Catherine Rivoire

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Catherine Rivoire

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

All Works

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9 of 9 papers shown

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

Mercier, Philippe Le, Jerven Bolleman, Edouard de Castro, et al.. (2022). SwissBioPics—an interactive library of cell images for the visualization of subcellular location data. Database. 2022. 7 indexed citations

Bolleman, Jerven, Edouard de Castro, Delphine Baratin, et al.. (2020). HAMAP as SPARQL rules—A portable annotation pipeline for genomes and proteomes. GigaScience. 9(2). 7 indexed citations

Bansal, Parit, Philippe Le Mercier, Jerven Bolleman, et al.. (2020). SwissBioPics – an interactive library of cell images for the visualization of subcellular location data. Faculty of 1000 Research Ltd. 9. 2 indexed citations

Bursteinas, Borisas, Ramona Britto, Benoît Bely, et al.. (2016). Minimizing proteome redundancy in the UniProt Knowledgebase. Database. 2016. baw139–baw139. 16 indexed citations

Pedruzzi, Ivo, Catherine Rivoire, Andrea H Auchincloss, et al.. (2014). HAMAP in 2015: updates to the protein family classification and annotation system. Nucleic Acids Research. 43(D1). D1064–D1070. 108 indexed citations

Pedruzzi, Ivo, Catherine Rivoire, Andrea H Auchincloss, et al.. (2012). HAMAP in 2013, new developments in the protein family classification and annotation system. Nucleic Acids Research. 41(D1). D584–D589. 47 indexed citations

Lima, Tânia, Andrea H Auchincloss, Elisabeth Coudert, et al.. (2008). HAMAP: a database of completely sequenced microbial proteome sets and manually curated microbial protein families in UniProtKB/Swiss-Prot. Nucleic Acids Research. 37(Database). D471–D478. 122 indexed citations

Gattiker, Alexandre, Catherine Rivoire, Andrea H Auchincloss, et al.. (2003). Automated annotation of microbial proteomes in SWISS-PROT. Computational Biology and Chemistry. 27(1). 49–58. 98 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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