Danièle Debruyne
- Pharmacology top 2%
- Molecular Biology
- Toxicology top 0.5%
- Cellular and Molecular Neuroscience top 5%
- Infectious Diseases top 5%
- Co-authors
- Jean‐Philippe RyckelynckReynald Le BoisselierMaryline MoulinLouisa BarréVéronique Lelong‐BoulouardBruno Hurault de LignyAntoine CoquerelGilles Defer
- Topics
- Forensic Toxicology and Drug Analysis (11 papers)Antibiotics Pharmacokinetics and Efficacy (10 papers)Neuroscience and Neuropharmacology Research (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaBrain ResearchJournal of Chromatography A
- Partner nations
- FranceUnited StatesCanada
In The Last Decade
Danièle Debruyne
79 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 119
- Pharmacology 429
- Molecular Biology 326
- Toxicology 298
- Cellular and Molecular Neuroscience 287
- Infectious Diseases 259
Countries citing papers authored by Danièle Debruyne
This map shows the geographic impact of Danièle Debruyne'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 Danièle Debruyne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danièle Debruyne more than expected).
Fields of papers citing papers by Danièle Debruyne
This network shows the impact of papers produced by Danièle Debruyne. 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 Danièle Debruyne. The network helps show where Danièle Debruyne may publish in the future.
Co-authorship network of co-authors of Danièle Debruyne
This figure shows the co-authorship network connecting the top 25 collaborators of Danièle Debruyne. A scholar is included among the top collaborators of Danièle Debruyne 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 Danièle Debruyne. Danièle Debruyne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 10 | |
| 3 | 3 | |
| 4 | 42 | |
| 5 | 9 | |
| 6 | 14 | |
| 7 | 25 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | Le syndrome de la poche à urine violette : à propos d’un cas avec identification des substances colorantes | 0 |
| 13 | 11 | |
| 14 | 18 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 13 | |
| 18 | 9 | |
| 19 | 33 | |
| 20 | Pharmacocinétique de la pipéracilline en dialyse péritonéale continue ambulatoire. | 1 |
About Danièle Debruyne
Danièle Debruyne is a scholar working on Toxicology, Transplantation and Pharmacology, having authored 81 papers that have together received 1.6k indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (11 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Toxicology (298 citations), Pharmacology (429 citations) and Transplantation (51 citations). Danièle Debruyne has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Jean‐Philippe Ryckelynck, Reynald Le Boisselier, Maryline Moulin, Louisa Barré, Véronique Lelong‐Boulouard, Bruno Hurault de Ligny, Antoine Coquerel, Gilles Defer, R. Camsonne and Géraldine Poisnel. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and Journal of Chromatography A.
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.