Caroline Gaud

598 citations
2 papers · 141 · 1 hit paper · h-index 2

Impact in

    • Mass Spectrometry Techniques and Applications
    • Advanced Proteomics Techniques and Applications
    • Analytical Chemistry and Chromatography
    • Metabolomics and Mass Spectrometry Studies
    • Sphingolipid Metabolism and Signaling
    • Plant biochemistry and biosynthesis
    • Bioinformatics and Genomic Networks

Papers in

Caroline Gaud

2 papers receiving 141 citations

Caroline Gaud's Hit Papers

LIPID MAPS: update to databases and tools for the lipidomics community 2023 · 137 citations
1370+1+2Years since publication4080120

Peers

Caroline Gaud
Comparison fields: 5 of 65
  • Spectroscopy 28
  • Molecular Biology 88
  • Biochemistry 4
  • Clinical Biochemistry 3
  • Cancer Research 6
Replace Pedro Henrique Vendramini with:
Pedro Henrique Vendramini Brazil
Thomas Payne United Kingdom
Zainab Noor Australia
Laura K. Muehlbauer United States
Kirill E. Medvedev United States
Susan Egbert United States
Chen Ruan China
Olga Vvedenskaya Germany
Manuela Pruess United Kingdom
Gary Lavine United States
Caroline Gaud relative to Pedro Henrique Vendramini Brazil Pedro Henrique Vendramini's profile →
Citations per field
00.5×6.9×
Pedro Henrique Vendramini · 1×
Citations per year

Countries citing papers authored by Caroline Gaud

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Gaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Caroline Gaud, 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 Caroline Gaud Line = papers co-authored together Caroline Gaud links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
LIPID MAPS: update to databases and tools for the lipidomics community
Hit paper breakdown →
2023137
2 20204

About Caroline Gaud

Caroline Gaud is a scholar working on Molecular Biology, Spectroscopy, Cancer Research, Infectious Diseases and Organic Chemistry, having authored 2 papers that have together received 141 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Cancer, Lipids, and Metabolism (1 paper). The work is most often cited by research in Spectroscopy (28 citations), Molecular Biology (88 citations), Biochemistry (4 citations), Clinical Biochemistry (3 citations) and Cancer Research (6 citations). Caroline Gaud has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Andrea F. Lopez‐Clavijo, Eoin Fahy, Edward A. Dennis, Shankar Subramaniam, Valerie B. O’Donnell, William J. Griffiths, Simon Andrews, M.J. Conroy, Robert Andrews and Jorge Álvarez-Jarreta. Their work appears in journals such as Nucleic Acids Research and Bioinformatics.

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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