Caroline Gaud

536 total citations · 1 hit paper
2 papers, 107 citations indexed

About

Caroline Gaud is a scholar working on Molecular Biology, Spectroscopy and Computational Theory and Mathematics. According to data from OpenAlex, Caroline Gaud has authored 2 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Spectroscopy and 1 paper in Computational Theory and Mathematics. Recurrent topics in Caroline Gaud's work include Metabolomics and Mass Spectrometry Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Cancer, Lipids, and Metabolism (1 paper). Caroline Gaud is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Cancer, Lipids, and Metabolism (1 paper). Caroline Gaud collaborates with scholars based in United Kingdom and United States. Caroline Gaud's co-authors include Shankar Subramaniam, M.J. Conroy, Eoin Fahy, Robert Andrews, Edward A. Dennis, Simon Andrews, Andrea F. Lopez‐Clavijo, William J. Griffiths, Valerie B. O’Donnell and Patrícia Rodrigues and has published in prestigious journals such as Nucleic Acids Research and Bioinformatics.

In The Last Decade

Caroline Gaud

2 papers receiving 107 citations

Hit Papers

LIPID MAPS: update to databases and tools for the lipidom... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Gaud United Kingdom 2 77 25 8 7 7 2 107
Zhongren Wu United States 9 123 1.6× 7 0.3× 7 0.9× 13 1.9× 12 1.7× 14 193
Shuyu Hou United States 4 111 1.4× 20 0.8× 2 0.3× 6 0.9× 3 0.4× 5 134
Pedro Henrique Vendramini Brazil 5 98 1.3× 56 2.2× 6 0.8× 2 0.3× 3 0.4× 9 159
Joris J. R. Louwen Netherlands 6 126 1.6× 30 1.2× 11 1.4× 4 0.6× 26 3.7× 6 160
Laura K. Muehlbauer United States 6 68 0.9× 34 1.4× 3 0.4× 15 2.1× 2 0.3× 10 93
Wenbo Wang China 9 110 1.4× 15 0.6× 3 0.4× 5 0.7× 5 0.7× 28 183
Jakob Berg Jespersen Denmark 5 98 1.3× 6 0.2× 3 0.4× 2 0.3× 4 0.6× 5 123
Manuela Pruess United Kingdom 5 147 1.9× 22 0.9× 10 1.3× 4 0.6× 11 1.6× 7 163
Fengji Tan China 5 82 1.1× 48 1.9× 9 1.1× 29 4.1× 1 0.1× 5 140
Giulia Babbi Italy 9 151 2.0× 4 0.2× 6 0.8× 5 0.7× 14 2.0× 20 204

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-authorship network of co-authors of Caroline Gaud

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

All Works

2 of 2 papers shown
1.
Conroy, M.J., Robert Andrews, Simon Andrews, et al.. (2023). LIPID MAPS: update to databases and tools for the lipidomics community. Nucleic Acids Research. 52(D1). D1677–D1682. 103 indexed citations breakdown →
2.
Álvarez-Jarreta, Jorge, Patrícia Rodrigues, Eoin Fahy, et al.. (2020). LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications. Bioinformatics. 37(10). 1478–1479. 4 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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