Bertrand Desprez
- Small Animals top 2%
- Health, Toxicology and Mutagenesis top 10%
- Computational Theory and Mathematics top 10%
- Plant Science
- Biomedical Engineering
- Co-authors
- Claudius GriesingerNathalie AlépéeValérie ZuangSandra CoeckeMartina KlarićWarren CaseyJosé G. BarrosoNicola J. Hewitt
- Topics
- Animal testing and alternatives (10 papers)Effects and risks of endocrine disrupting chemicals (7 papers)Computational Drug Discovery Methods (4 papers)
- Journals
- Advances in experimental medicine and biologyToxicology in VitroRegulatory Toxicology and Pharmacology
- Partner nations
- FranceBelgiumUnited States
In The Last Decade
Bertrand Desprez
13 papers receiving 277 citations
Peers
Comparison fields: 5 of 74
- Small Animals 149
- Health, Toxicology and Mutagenesis 101
- Computational Theory and Mathematics 44
- Plant Science 43
- Biomedical Engineering 38
Countries citing papers authored by Bertrand Desprez
This map shows the geographic impact of Bertrand Desprez'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 Bertrand Desprez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bertrand Desprez more than expected).
Fields of papers citing papers by Bertrand Desprez
This network shows the impact of papers produced by Bertrand Desprez. 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 Bertrand Desprez. The network helps show where Bertrand Desprez may publish in the future.
Co-authorship network of co-authors of Bertrand Desprez
This figure shows the co-authorship network connecting the top 25 collaborators of Bertrand Desprez. A scholar is included among the top collaborators of Bertrand Desprez 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 Bertrand Desprez. Bertrand Desprez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 32 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 20 | |
| 6 | 17 | |
| 7 | 29 | |
| 8 | 25 | |
| 9 | 29 | |
| 10 | 33 | |
| 11 | 42 | |
| 12 | 35 | |
| 13 | 24 |
About Bertrand Desprez
Bertrand Desprez is a scholar working on Chemical Health and Safety, Small Animals and Health, Toxicology and Mutagenesis, having authored 13 papers that have together received 297 indexed citations. Recurring topics across this work include Animal testing and alternatives (10 papers), Effects and risks of endocrine disrupting chemicals (7 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Chemical Health and Safety (14 citations), Small Animals (149 citations) and Health, Toxicology and Mutagenesis (101 citations). Bertrand Desprez has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Claudius Griesinger, Nathalie Alépée, Valérie Zuang, Sandra Coecke, Martina Klarić, Warren Casey, José G. Barroso, Nicola J. Hewitt, Andreas Schepky and Gladys Ouédraogo. Their work appears in journals such as Advances in experimental medicine and biology, Toxicology in Vitro and Regulatory Toxicology and Pharmacology.
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.