Yasset Pérez‐Riverol

30.5k citations
86 papers · 12.0k indexed · 5 hit papers · h-index 29
Topics
Advanced Proteomics Techniques and Applications (66 papers)Mass Spectrometry Techniques and Applications (37 papers)Metabolomics and Mass Spectrometry Studies (36 papers)

In The Last Decade

Yasset Pérez‐Riverol

84 papers receiving 12.0k citations

Hit Papers

The PRIDE database resources i...20122026201620212021201520122016202410002.0k3.0k

Peers

Yasset Pérez‐Riverol
Comparison fields: 5 of 178
  • Molecular Biology 8.0k
  • Spectroscopy 2.8k
  • Immunology 1.0k
  • Cell Biology 987
  • Plant Science 887
Replace Juan Antonio Vizcaíno with:
Juan Antonio Vizcaíno United Kingdom
Henning Hermjakob United Kingdom
Eugene Kolker United States
Florian Reisinger United Kingdom
Martin Eisenacher Germany
David L. Tabb United States
Lukas Käll Sweden
Johannes Griss Austria
Lennart Martens Belgium
Andrew Keller United States
Yasset Pérez‐Riverol relative to Juan Antonio Vizcaíno United Kingdom Juan Antonio Vizcaíno's profile →
Citations per field
00.5×1.5×
Juan Antonio Vizcaíno · 1×
Citations per year

Countries citing papers authored by Yasset Pérez‐Riverol

Since Specialization
Citations

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

Fields of papers citing papers by Yasset Pérez‐Riverol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yasset Pérez‐Riverol. 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 Yasset Pérez‐Riverol. The network helps show where Yasset Pérez‐Riverol may publish in the future.

Co-authorship network of co-authors of Yasset Pérez‐Riverol

This figure shows the co-authorship network connecting the top 25 collaborators of Yasset Pérez‐Riverol. A scholar is included among the top collaborators of Yasset Pérez‐Riverol 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 Yasset Pérez‐Riverol. Yasset Pérez‐Riverol 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
#WorkIndexed citations
1 6
2 0
3 2
4 0
5 6
6 1
7 26
8 14
9 13
10 23
11 4
12 32
13 15
14 156
15 4
16 21
17 3
18 141
19 39
20 63

About Yasset Pérez‐Riverol

Yasset Pérez‐Riverol is a scholar working on Spectroscopy, Information Systems and Management and Molecular Biology, having authored 86 papers that have together received 12.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (66 papers), Mass Spectrometry Techniques and Applications (37 papers) and Metabolomics and Mass Spectrometry Studies (36 papers). The work is most often cited by research in Spectroscopy (2.8k citations), Molecular Biology (8.0k citations) and Cell Biology (987 citations). Yasset Pérez‐Riverol has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Juan Antonio Vizcaíno, Henning Hermjakob, Attila Csordás, Johannes Griss, Rui Wang, Mathias Walzer, José A. Dianes, Florian Reisinger, Deepti J Kundu and Chakradhar Bandla. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Nature Biotechnology.

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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