Danièle Ouellet
- Molecular Biology top 5%
- Oncology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Computational Theory and Mathematics top 1%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Jeffrey R. InfanteRichard KeffordGeorgina V. LongMichael MillwardAnna C. PavlickKevin B. KimSamuel C. BlackmanPeter F. Lebowitz
- Topics
- Melanoma and MAPK Pathways (13 papers)Pharmacogenetics and Drug Metabolism (11 papers)Statistical Methods in Clinical Trials (11 papers)
- Cited by
- OncologyPharmacologyHematology
- Partner nations
- United StatesBelgiumUnited Kingdom
In The Last Decade
Danièle Ouellet
90 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.4k
- Oncology 1.3k
- Pulmonary and Respiratory Medicine 496
- Computational Theory and Mathematics 357
- Pediatrics, Perinatology and Child Health 322
Countries citing papers authored by Danièle Ouellet
This map shows the geographic impact of Danièle Ouellet'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 Ouellet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danièle Ouellet more than expected).
Fields of papers citing papers by Danièle Ouellet
This network shows the impact of papers produced by Danièle Ouellet. 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 Ouellet. The network helps show where Danièle Ouellet may publish in the future.
Co-authorship network of co-authors of Danièle Ouellet
This figure shows the co-authorship network connecting the top 25 collaborators of Danièle Ouellet. A scholar is included among the top collaborators of Danièle Ouellet 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 Ouellet. Danièle Ouellet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 17 | |
| 7 | 7 | |
| 8 | 51 | |
| 9 | A STUDY OF THE EFFECTS OF INHIBITION OF CYP3A4 BY KETOCONAZOLE (K) AND CYP2C8 BY GEMFIBROZIL (G) ON THE PHARMACOKINETICS DABRAFENIB (D) | 3 |
| 10 | 57 | |
| 11 | 356 | |
| 12 | 75 | |
| 13 | 32 | |
| 14 | 20 | |
| 15 | 99 | |
| 16 | 17 | |
| 17 | 58 | |
| 18 | 9 | |
| 19 | 64 | |
| 20 | 20 |
About Danièle Ouellet
Danièle Ouellet is a scholar working on Pharmacology, Statistics and Probability and Hematology, having authored 93 papers that have together received 3.3k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (13 papers), Pharmacogenetics and Drug Metabolism (11 papers) and Statistical Methods in Clinical Trials (11 papers). The work is most often cited by research in Oncology (1.3k citations), Pharmacology (318 citations) and Hematology (264 citations). Danièle Ouellet has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Jeffrey R. Infante, Richard Kefford, Georgina V. Long, Michael Millward, Anna C. Pavlick, Kevin B. Kim, Samuel C. Blackman, Peter F. Lebowitz, Razelle Kurzrock and Gary M. Pollack. Their work appears in journals such as The Lancet, Journal of Clinical Oncology and Blood.
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.