Laurent Gatto

21.1k citations
75 papers · 3.0k indexed · h-index 31
  • Spectroscopy top 0.5%
    • Advanced Proteomics Techniques and Applications 35
    • Mass Spectrometry Techniques and Applications 10
    • Metabolomics and Mass Spectrometry Studies 13
    • Single-cell and spatial transcriptomics 13
    • Gene expression and cancer classification 10
    • Genomics and Phylogenetic Studies 7
    • Bioinformatics and Genomic Networks 6
    • Biotin and Related Studies 5
  • Biophysics top 5%

Laurent Gatto

69 papers receiving 3.0k citations

Peers

Laurent Gatto
Comparison fields: 5 of 141
  • Spectroscopy 1.0k
  • Molecular Biology 2.1k
  • Cell Biology 357
  • Biophysics 77
  • Information Systems and Management 81
Replace Felipe da Veiga Leprevost with:
Felipe da Veiga Leprevost United States
Noemí del‐Toro United Kingdom
Samuel Payne United States
Gerhard Mayer Germany
Matthew Chambers United States
Mathias Wilhelm Germany
Pascale Gaudet Switzerland
Zhi Sun United States
Richard G. Côté United Kingdom
Harald Barsnes Norway
Laurent Gatto relative to Felipe da Veiga Leprevost United States Felipe da Veiga Leprevost's profile →
Citations per field
00.5×3.8×
Felipe da Veiga Leprevost · 1×
Citations per year

Countries citing papers authored by Laurent Gatto

Since Specialization
Citations

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

Fields of papers citing papers by Laurent Gatto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Laurent Gatto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Laurent Gatto Line = papers co-authored together Laurent Gatto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20243
4 20243
5 202335
6 20230
7 20231
8 20232
9 20231
10 202212
11 202226
12 20226
13 202136
14 201948
15 2016157
16 201438
17 201482
18 201327
19 20119
20 200880

About Laurent Gatto

Laurent Gatto is a scholar working on Spectroscopy, Molecular Biology and Biophysics, having authored 75 papers that have together received 3.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (35 papers), Metabolomics and Mass Spectrometry Studies (13 papers), Single-cell and spatial transcriptomics (13 papers), Mass Spectrometry Techniques and Applications (10 papers), Gene expression and cancer classification (10 papers), Genomics and Phylogenetic Studies (7 papers), Bioinformatics and Genomic Networks (6 papers) and Biotin and Related Studies (5 papers). The work is most often cited by research in Spectroscopy (1.0k citations), Molecular Biology (2.1k citations) and Cell Biology (357 citations). Laurent Gatto has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include Kathryn S. Lilley, Lisa M. Breckels, Thomas Bürger, Myriam Ferro, Cosmin Lazar, Christophe Bruley, Andy Christoforou, Johannes Rainer, Claire M. Mulvey and Sebastian Gibb. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Communications.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026