Denis Cournoyer

1.9k total citations
42 papers, 1.5k citations indexed

About

Denis Cournoyer is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Denis Cournoyer has authored 42 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Oncology and 10 papers in Genetics. Recurrent topics in Denis Cournoyer's work include Virus-based gene therapy research (9 papers), CRISPR and Genetic Engineering (6 papers) and Cytomegalovirus and herpesvirus research (6 papers). Denis Cournoyer is often cited by papers focused on Virus-based gene therapy research (9 papers), CRISPR and Genetic Engineering (6 papers) and Cytomegalovirus and herpesvirus research (6 papers). Denis Cournoyer collaborates with scholars based in Canada, United States and United Kingdom. Denis Cournoyer's co-authors include Terry Chow, Clifford P. Stanners, Nicole Beauchemin, Sarita Benchimol, Chantal Séguin, Mohammad Amin Kerachian, Edward J. Harvey, A Fuks, Nicoletta Eliopoulos and Richard L. Momparler and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Annual Review of Immunology.

In The Last Decade

Denis Cournoyer

41 papers receiving 1.5k citations

Peers

Denis Cournoyer
Comparison fields: 5 of 92
  • Molecular Biology 708
  • Oncology 434
  • Hematology 343
  • Radiology, Nuclear Medicine and Imaging 304
  • Genetics 284
John Marken United States
Jon C. Jones United States
P H Wiernik United States
Olivier Spertini Switzerland
H. Poliwoda Germany
Inger Marie S. Dahl Norway
V von Fliedner Switzerland
Yataro Yoshida Japan
ED Ball United States
John Marken United States View profile →
Citations per field, relative to Denis Cournoyer
Denis Cournoyer · 1×
Citations per year, relative to Denis Cournoyer
Denis Cournoyer · 1×

Countries citing papers authored by Denis Cournoyer

Since Specialization
Citations

This map shows the geographic impact of Denis Cournoyer'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 Denis Cournoyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis Cournoyer more than expected).

Fields of papers citing papers by Denis Cournoyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denis Cournoyer. 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 Denis Cournoyer. The network helps show where Denis Cournoyer may publish in the future.

Co-authorship network of co-authors of Denis Cournoyer

This figure shows the co-authorship network connecting the top 25 collaborators of Denis Cournoyer. A scholar is included among the top collaborators of Denis Cournoyer 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 Denis Cournoyer. Denis Cournoyer 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 16
2 23
3 48
4 37
5 135
6 8
7 22
8 145
9 58
10 6
11 9
12 12
13
Structuring the Review of Human Genetics Protocols
2
14 13
15 9
16 77
17 13
18 24
19 60
20 11

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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