Caroline Peyrot
- Materials Chemistry top 10%
- Physiology top 10%
- Pollution top 5%
- Molecular Biology
- Health, Toxicology and Mutagenesis top 5%
- Co-authors
- Kevin J. WilkinsonGuillaume MoulisClément GaudinMatteo CesariMartin MichaudLaurent BalardyBruno VellasFati Nourhashémi
- Topics
- Nanoparticles: synthesis and applications (19 papers)Environmental Toxicology and Ecotoxicology (7 papers)Microplastics and Plastic Pollution (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyAnalytical Chemistry
- Partner nations
- CanadaIrelandUnited Kingdom
In The Last Decade
Caroline Peyrot
26 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Materials Chemistry 369
- Physiology 297
- Pollution 190
- Molecular Biology 184
- Health, Toxicology and Mutagenesis 176
Countries citing papers authored by Caroline Peyrot
This map shows the geographic impact of Caroline Peyrot'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 Peyrot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caroline Peyrot more than expected).
Fields of papers citing papers by Caroline Peyrot
This network shows the impact of papers produced by Caroline Peyrot. 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 Peyrot. The network helps show where Caroline Peyrot may publish in the future.
Co-authorship network of co-authors of Caroline Peyrot
This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Peyrot. A scholar is included among the top collaborators of Caroline Peyrot 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 Peyrot. Caroline Peyrot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 7 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 31 | |
| 7 | 17 | |
| 8 | 25 | |
| 9 | 12 | |
| 10 | 4 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 17 | |
| 14 | 15 | |
| 15 | 36 | |
| 16 | 3 | |
| 17 | 78 | |
| 18 | 9 | |
| 19 | Proinflammatory Cytokines, Aging, and Age-Related Diseasesbreakdown → | 808 |
| 20 | 47 |
About Caroline Peyrot
Caroline Peyrot is a scholar working on Chemical Health and Safety, Pollution and Health, Toxicology and Mutagenesis, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (19 papers), Environmental Toxicology and Ecotoxicology (7 papers) and Microplastics and Plastic Pollution (7 papers). The work is most often cited by research in Geriatrics and Gerontology (99 citations), Biological Psychiatry (61 citations) and Aging (35 citations). Caroline Peyrot has collaborated with scholars based in Canada, Ireland and United Kingdom. Frequent co-authors include Kevin J. Wilkinson, Guillaume Moulis, Clément Gaudin, Matteo Cesari, Martin Michaud, Laurent Balardy, Bruno Vellas, Fati Nourhashémi, François Gagné and Sébastien Sauvé. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Analytical Chemistry.
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.