Danièle Ouellet

11.0k total citations · 1 hit paper
93 papers, 3.3k citations indexed

About

Danièle Ouellet is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Danièle Ouellet has authored 93 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 26 papers in Oncology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Danièle Ouellet's work include Melanoma and MAPK Pathways (13 papers), Pharmacogenetics and Drug Metabolism (11 papers) and Statistical Methods in Clinical Trials (11 papers). Danièle Ouellet is often cited by papers focused on Melanoma and MAPK Pathways (13 papers), Pharmacogenetics and Drug Metabolism (11 papers) and Statistical Methods in Clinical Trials (11 papers). Danièle Ouellet collaborates with scholars based in United States, Belgium and United Kingdom. Danièle Ouellet's 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 and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Blood.

In The Last Decade

Danièle Ouellet

90 papers receiving 3.2k citations

Hit Papers

Dabrafenib in patients with melanoma, untreated brain met... 2012 2026 2016 2021 2012 200 400 600

Peers

Danièle Ouellet
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
Replace Rashmi R. Shah with:
Rashmi R. Shah United Kingdom
Brian Booth United States
Jogarao Gobburu United States
Antonello Di Paolo Italy
Benoı̂t Blanchet France
Cristina Rodríguez‐Antona Spain
Yaning Wang United States
Jan Snoeys Belgium
Balram Chowbay Singapore
Juan José Pérez Ruixo United States
Rashmi R. Shah United Kingdom View profile →
Citations per field, relative to Danièle Ouellet
Danièle Ouellet · 1×
Citations per year, relative to Danièle Ouellet
Danièle Ouellet · 1×

Countries citing papers authored by Danièle Ouellet

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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