Serge Desnoyers

10.5k citations
35 papers · 9.3k indexed · 5 hit papers · h-index 22
Topics
PARP inhibition in cancer therapy (24 papers)DNA Repair Mechanisms (17 papers)Cell death mechanisms and regulation (8 papers)

In The Last Decade

Serge Desnoyers

34 papers receiving 9.1k citations

Hit Papers

Cleavage of poly(ADP-ribose) polymerase by a proteinase w...19932026200420151994199519931999199950010001.5k2.0k

Peers

Serge Desnoyers
Comparison fields: 5 of 126
  • Molecular Biology 7.0k
  • Oncology 3.7k
  • Immunology 1.7k
  • Cancer Research 786
  • Epidemiology 659
Replace Mark E. Smulson with:
Mark E. Smulson United States
Kevin M. Ryan United Kingdom
Patrick Auberger France
Wei‐Xing Zong United States
Ingrid Herr Germany
Josiane Ménissier‐de Murcia France
Jerry E. Chipuk United States
María T. Díaz‐Meco United States
Gilbert de Murcia France
Jorge Moscat United States
Serge Desnoyers relative to Mark E. Smulson United States Mark E. Smulson's profile →
Citations per field
00.5×1.5×
Mark E. Smulson · 1×
Citations per year

Countries citing papers authored by Serge Desnoyers

Since Specialization
Citations

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

Fields of papers citing papers by Serge Desnoyers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serge Desnoyers

This figure shows the co-authorship network connecting the top 25 collaborators of Serge Desnoyers. A scholar is included among the top collaborators of Serge 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 Serge Desnoyers. Serge 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 5
2 25
3 6
4 11
5 25
6 28
7 16
8 15
9 8
10 23
11 48
12 258
13 31
14
Yama/CPP32β, a mammalian homolog of CED-3, is a CrmA-inhibitable protease that cleaves the death substrate poly(ADP-ribose) polymerasebreakdown →
2190
15 7
16 27
17 163
18 26
19 0
20 2

About Serge Desnoyers

Serge Desnoyers is a scholar working on Aging, Oncology and Physiology, having authored 35 papers that have together received 9.3k indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (24 papers), DNA Repair Mechanisms (17 papers) and Cell death mechanisms and regulation (8 papers). The work is most often cited by research in Oncology (3.7k citations), Molecular Biology (7.0k citations) and Physiology (442 citations). Serge Desnoyers has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Guy G. Poirier, Scott H. Kaufmann, William C. Earnshaw, Yuri Lazebnik, Icy D’Silva, Damien D’Amours, Nancy E. Davidson, Yvonne Ottaviano, Vishva M. Dixit and Guy S. Salvesen. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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