Richard G. Côté

3.2k citations
17 papers · 2.4k indexed · 1 hit paper · h-index 13
Topics
Advanced Proteomics Techniques and Applications (13 papers)Metabolomics and Mass Spectrometry Studies (7 papers)Mass Spectrometry Techniques and Applications (7 papers)

In The Last Decade

Richard G. Côté

17 papers receiving 2.4k citations

Hit Papers

The Proteomics Identifications (PRIDE) database and assoc...2012202620162021201250010001.5k

Peers

Richard G. Côté
Comparison fields: 5 of 129
  • Molecular Biology 1.7k
  • Spectroscopy 719
  • Plant Science 224
  • Immunology 162
  • Oncology 158
Replace Felipe da Veiga Leprevost with:
Felipe da Veiga Leprevost United States
David Ovelleiro Spain
Gerhard Mayer Germany
Paulo C. Carvalho Brazil
Noemí del‐Toro United Kingdom
Laurent Gatto Belgium
Daniel Ríos United Kingdom
Emanuele Alpi United Kingdom
Songfeng Wu China
Zhi Sun United States
Richard G. Côté relative to Felipe da Veiga Leprevost United States Felipe da Veiga Leprevost's profile →
Citations per field
00.5×7.3×
Felipe da Veiga Leprevost · 1×
Citations per year

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
#WorkIndexed citations
1 2
2 8
3
The Proteomics Identifications (PRIDE) database and associated tools: status in 2013breakdown →
1638
4 93
5 24
6 23
7 5
8 13
9 13
10 44
11 13
12 242
13 17
14 8
15 100
16 34
17 151

About Richard G. Côté

Richard G. Côté is a scholar working on Spectroscopy, Molecular Biology and Information Systems and Management, having authored 17 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (13 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Mass Spectrometry Techniques and Applications (7 papers). The work is most often cited by research in Spectroscopy (719 citations), Molecular Biology (1.7k citations) and Aging (18 citations). Richard G. Côté has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Henning Hermjakob, Florian Reisinger, Juan Antonio Vizcaíno, Joseph Foster, Johannes Griss, David Ovelleiro, Rui Wang, José A. Dianes, Yasset Pérez‐Riverol and Attila Csordás. Their work appears in journals such as Nucleic Acids Research, Journal of Nutrition and Nutrients.

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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