Pierre‐Yves Desprez

14.0k citations
67 papers · 10.6k indexed · 4 hit papers · h-index 38
Topics
Telomeres, Telomerase, and Senescence (23 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers)Cannabis and Cannabinoid Research (7 papers)
Partner nations
United StatesJapanCanada

In The Last Decade

Pierre‐Yves Desprez

67 papers receiving 10.5k citations

Hit Papers

The Senescence-Associated Secretory Phenotype: The Dark...2001202620092017201020012010202010002.0k3.0k

Peers

Pierre‐Yves Desprez
Comparison fields: 5 of 144
  • Molecular Biology 4.8k
  • Physiology 4.4k
  • Immunology 2.5k
  • Oncology 1.8k
  • Cancer Research 1.5k
Replace Valery Krizhanovsky with:
Valery Krizhanovsky Israel
Jean‐Philippe Coppé United States
Daohong Zhou United States
Bennett G. Childs United States
Mathieu Laplante Canada
Bart van de Sluis Netherlands
Marco Demaria Netherlands
Adam Freund United States
João F. Passos United Kingdom
Naoko Ohtani Japan
Pierre‐Yves Desprez relative to Valery Krizhanovsky Israel Valery Krizhanovsky's profile →
Citations per field
00.5×1.5×
Valery Krizhanovsky · 1×
Citations per year

Countries citing papers authored by Pierre‐Yves Desprez

Since Specialization
Citations

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

Fields of papers citing papers by Pierre‐Yves Desprez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre‐Yves Desprez. 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 Pierre‐Yves Desprez. The network helps show where Pierre‐Yves Desprez may publish in the future.

Co-authorship network of co-authors of Pierre‐Yves Desprez

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre‐Yves Desprez. A scholar is included among the top collaborators of Pierre‐Yves Desprez 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 Pierre‐Yves Desprez. Pierre‐Yves Desprez 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 1
2 1
3 5
4 8
5 1
6 12
7 7
8 82
9 11
10 5
11 16
12 94
13 130
14 91
15 121
16 197
17 85
18 28
19 118
20 26

About Pierre‐Yves Desprez

Pierre‐Yves Desprez is a scholar working on Cancer Research, Physiology and Oncology, having authored 67 papers that have together received 10.6k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (23 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers) and Cannabis and Cannabinoid Research (7 papers). The work is most often cited by research in Aging (772 citations), Physiology (4.4k citations) and Immunology (2.5k citations). Pierre‐Yves Desprez has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Judith Campisi, Ana Krtolica, Jean‐Philippe Coppé, Adam Freund, Arturo V. Orjalo, Stephen Lockett, Simona Parrinello, Albert R. Davalos, Sean D. McAllister and Christopher D. Wiley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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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