Richard G. Côté

3.2k total citations · 1 hit paper
17 papers, 2.4k citations indexed

About

Richard G. Côté is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, Richard G. Côté has authored 17 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Spectroscopy and 2 papers in Artificial Intelligence. Recurrent topics in Richard G. Côté's work include Advanced Proteomics Techniques and Applications (13 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Mass Spectrometry Techniques and Applications (7 papers). Richard G. Côté is often cited by papers focused on Advanced Proteomics Techniques and Applications (13 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Mass Spectrometry Techniques and Applications (7 papers). Richard G. Côté collaborates with scholars based in United Kingdom, United States and Belgium. Richard G. Côté's co-authors include Henning Hermjakob, Florian Reisinger, Juan Antonio Vizcaíno, Joseph Foster, Johannes Griss, David Ovelleiro, Attila Csordás, José A. Dianes, Yasset Pérez‐Riverol and Rui Wang and has published in prestigious journals such as Nucleic Acids Research, Journal of Nutrition and Nutrients.

In The Last Decade

Richard G. Côté

17 papers receiving 2.4k citations

Hit Papers

The Proteomics Identifications (PRIDE) database and assoc... 2012 2026 2016 2021 2012 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard G. Côté United Kingdom 13 1.7k 719 224 162 158 17 2.4k
David Ovelleiro Spain 10 1.4k 0.8× 613 0.9× 203 0.9× 174 1.1× 158 1.0× 16 2.1k
Sean L. Seymour United States 12 1.4k 0.8× 660 0.9× 149 0.7× 141 0.9× 196 1.2× 15 2.2k
Emanuele Alpi United Kingdom 11 1.6k 0.9× 493 0.7× 255 1.1× 221 1.4× 163 1.0× 14 2.3k
Lyris Martins Franco de Godoy Brazil 12 1.8k 1.1× 916 1.3× 194 0.9× 122 0.8× 138 0.9× 18 2.5k
Mihaela E. Sardiu United States 21 1.6k 0.9× 398 0.6× 145 0.6× 136 0.8× 111 0.7× 63 2.2k
Peter Pichler Austria 21 1.7k 1.0× 1.0k 1.4× 259 1.2× 95 0.6× 109 0.7× 42 2.4k
Laurent Gatto Belgium 31 2.1k 1.2× 1.0k 1.5× 169 0.8× 219 1.4× 97 0.6× 75 3.0k
Dário Eluan Kalume Brazil 27 2.1k 1.2× 610 0.8× 239 1.1× 331 2.0× 140 0.9× 48 3.0k
Songfeng Wu China 19 1.7k 1.0× 517 0.7× 210 0.9× 246 1.5× 238 1.5× 50 2.8k
Francis Sagliocco France 19 1.9k 1.1× 596 0.8× 215 1.0× 93 0.6× 87 0.6× 32 2.4k

Countries citing papers authored by Richard G. Côté

Since Specialization
Citations

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

Fields of papers citing papers by Richard G. Côté

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard G. Côté. 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 Richard G. Côté. The network helps show where Richard G. Côté may publish in the future.

Co-authorship network of co-authors of Richard G. Côté

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

All Works

17 of 17 papers shown
1.
Campos, Vanessa, et al.. (2023). Estimation of Free Sugars in the Filipino Food Composition Table and Evaluation of Population-Level Intake. Nutrients. 15(6). 1343–1343. 2 indexed citations
2.
Gilhooly, Cheryl H., Kathryn Barger, Richard G. Côté, et al.. (2021). Evaluation of PIQNIQ, a Novel Mobile Application for Capturing Dietary Intake. Journal of Nutrition. 151(5). 1347–1356. 8 indexed citations
3.
Vizcaíno, Juan Antonio, Richard G. Côté, Attila Csordás, et al.. (2012). The Proteomics Identifications (PRIDE) database and associated tools: status in 2013. Nucleic Acids Research. 41(D1). D1063–D1069. 1638 indexed citations breakdown →
4.
Côté, Richard G., Johannes Griss, José A. Dianes, et al.. (2012). The PRoteomics IDEntification (PRIDE) Converter 2 Framework: An Improved Suite of Tools to Facilitate Data Submission to the PRIDE Database and the ProteomeXchange Consortium. Molecular & Cellular Proteomics. 11(12). 1682–1689. 93 indexed citations
5.
Côté, Richard G., et al.. (2012). Improvements in the protein identifier cross-reference service. Nucleic Acids Research. 40(W1). W276–W280. 24 indexed citations
6.
Ndegwa, Nelson, Richard G. Côté, David Ovelleiro, et al.. (2011). Critical amino acid residues in proteins: a BioMart integration of Reactome protein annotations with PRIDE mass spectrometry data and COSMIC somatic mutations. Database. 2011. bar047–bar047. 5 indexed citations
7.
Griss, Johannes, Richard G. Côté, Christopher Gerner, Henning Hermjakob, & Juan Antonio Vizcaíno. (2011). Published and Perished? The Influence of the Searched Protein Database on the Long-Term Storage of Proteomics Data. Molecular & Cellular Proteomics. 10(9). M111.008490–M111.008490. 23 indexed citations
8.
Vizcaíno, Juan Antonio, Florian Reisinger, Richard G. Côté, & Lennart Martens. (2010). PRIDE: Data Submission and Analysis. Current Protocols in Protein Science. 60(1). 25.4.1–25.4.11. 13 indexed citations
9.
Barsnes, Harald, Richard G. Côté, Ingvar Eidhammer, & Lennart Martens. (2010). OLS Dialog: An open-source front end to the Ontology Lookup Service. BMC Bioinformatics. 11(1). 34–34. 13 indexed citations
10.
Vizcaíno, Juan Antonio, Florian Reisinger, Richard G. Côté, & Lennart Martens. (2010). PRIDE and “Database on Demand” as Valuable Tools for Computational Proteomics. Methods in molecular biology. 696. 93–105. 13 indexed citations
11.
Côté, Richard G., Florian Reisinger, & Lennart Martens. (2010). jmzML, an open‐source Java API for mzML, the PSI standard for MS data. PROTEOMICS. 10(7). 1332–1335. 44 indexed citations
12.
Vizcaíno, Juan Antonio, Richard G. Côté, Florian Reisinger, et al.. (2009). The Proteomics Identifications database: 2010 update. Nucleic Acids Research. 38(suppl_1). D736–D742. 242 indexed citations
13.
Mueller, Michael, Juan Antonio Vizcaíno, Philip Jones, et al.. (2008). Analysis of the experimental detection of central nervous system‐related genes in human brain and cerebrospinal fluid datasets. PROTEOMICS. 8(6). 1138–1148. 17 indexed citations
14.
Martens, Lennart, Phil Jones, & Richard G. Côté. (2008). Using the Proteomics Identifications Database (PRIDE). Current Protocols in Bioinformatics. 21(1). Unit 13.8–Unit 13.8. 8 indexed citations
15.
Côté, Richard G., Philip Jones, Lennart Martens, et al.. (2007). The Protein Identifier Cross-Referencing (PICR) service: reconciling protein identifiers across multiple source databases. BMC Bioinformatics. 8(1). 401–401. 100 indexed citations
16.
Klie, Sebastian, Lennart Martens, Juan Antonio Vizcaíno, et al.. (2007). Analyzing Large-Scale Proteomics Projects with Latent Semantic Indexing. Journal of Proteome Research. 7(1). 182–191. 34 indexed citations
17.
Côté, Richard G., Philip Jones, Rolf Apweiler, & Henning Hermjakob. (2006). The Ontology Lookup Service, a lightweight cross-platform tool for controlled vocabulary queries. BMC Bioinformatics. 7(1). 97–97. 151 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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