Caroline Gaud
About
In The Last Decade
Caroline Gaud
2 papers receiving 107 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Molecular Biology 77
- Spectroscopy 25
- Ecology 8
- Epidemiology 7
- Computational Theory and Mathematics 7
Countries citing papers authored by Caroline Gaud
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
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
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | LIPID MAPS: update to databases and tools for the lipidomics community breakdown → | Nucleic Acids Research | M.J. Conroy, Robert Andrews et al. | 103 |
| 2 | LipidFinder 2.0: advanced informatics pipeline for lipidomics discovery applications | Bioinformatics | Jorge Álvarez-Jarreta, Patrícia Rodrigues et al. | 4 |
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.