Luc Desnoyers

2.4k citations
29 papers · 1.7k indexed · h-index 16
Topics
Monoclonal and Polyclonal Antibodies Research (12 papers)Sperm and Testicular Function (6 papers)Fibroblast Growth Factor Research (5 papers)

In The Last Decade

Luc Desnoyers

29 papers receiving 1.7k citations

Peers

Luc Desnoyers
Comparison fields: 5 of 86
  • Molecular Biology 1.1k
  • Reproductive Medicine 458
  • Public Health, Environmental and Occupational Health 266
  • Oncology 212
  • Cell Biology 193
Replace Julia A. Sensibar with:
Julia A. Sensibar United States
Claire Piquet‐Pellorce France
Donatella Starace Italy
Neşe Atabey Türkiye
Zhongjun Dong China
Yoko Aoyagi Japan
Carlos Reyes‐Moreno Canada
Sai‐Wah Tsao Hong Kong
Timothy J. O’Brien United States
T Nikaido Japan
Luc Desnoyers relative to Julia A. Sensibar United States Julia A. Sensibar's profile →
Citations per field
00.5×6.5×
Julia A. Sensibar · 1×
Citations per year

Countries citing papers authored by Luc Desnoyers

Since Specialization
Citations

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

Fields of papers citing papers by Luc Desnoyers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luc Desnoyers

This figure shows the co-authorship network connecting the top 25 collaborators of Luc Desnoyers. A scholar is included among the top collaborators of Luc Desnoyers 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 Luc Desnoyers. Luc Desnoyers 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
#WorkIndexed citations
1 6
2 1
3 167
4 65
5 72
6 8
7 226
8 214
9
La communication en congrès : repères ergonomiques /
1
10 20
11 135
12 95
13 5
14 72
15 56
16 135
17 13
18 44
19 51
20 258

About Luc Desnoyers

Luc Desnoyers is a scholar working on Reproductive Medicine, Radiology, Nuclear Medicine and Imaging and Urology, having authored 29 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Sperm and Testicular Function (6 papers) and Fibroblast Growth Factor Research (5 papers). The work is most often cited by research in Reproductive Medicine (458 citations), Molecular Biology (1.1k citations) and Cell Biology (193 citations). Luc Desnoyers has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include P. Manjunath, Benjamin C. Lin, Man Ping Wang, Dorothy French, Miguel C. Seabra, David Arnott, Diane Pennica, Kathy Hötzel, Ronald E. Ferrando and Avi Ashkenazi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

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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