Philippe Pasero

10.1k citations
119 papers · 7.0k indexed · h-index 50
    • DNA Repair Mechanisms 89
    • Genomics and Chromatin Dynamics 40
    • Fungal and yeast genetics research 19
    • CRISPR and Genetic Engineering 18
    • Cancer therapeutics and mechanisms 16
    • DNA and Nucleic Acid Chemistry 9
    • Epigenetics and DNA Methylation 8
    • Microtubule and mitosis dynamics 26
  • Aging top 5%
  • Oncology top 2%

Philippe Pasero

117 papers receiving 6.9k citations

Peers

Philippe Pasero
Comparison fields: 5 of 106
  • Molecular Biology 6.4k
  • Cell Biology 1.1k
  • Cancer Research 731
  • Aging 83
  • Oncology 1.1k
Replace Alberto Ciccia with:
Alberto Ciccia United States
Paul R. Andreassen United States
J. Ross Chapman United Kingdom
Gaëlle Legube France
Eric A. Hendrickson United States
Nicola Crosetto Sweden
Wolf‐Dietrich Heyer United States
James P. Carney United States
Masato T. Kanemaki Japan
Andrew J. Pierce United States
Philippe Pasero relative to Alberto Ciccia United States Alberto Ciccia's profile →
Citations per field
00.5×1.5×
Alberto Ciccia · 1×
Citations per year

Countries citing papers authored by Philippe Pasero

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Pasero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Philippe Pasero, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philippe Pasero Line = papers co-authored together Philippe Pasero links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202411
2 20236
3 20230
4 202312
5 20231
6 202126
7 202067
8 20205
9 2020129
10 201949
11 201996
12 201939
13 201948
14 201842
15 201835
16 2012100
17 200980
18 200783
19 2007108
20 2002192

About Philippe Pasero

Philippe Pasero is a scholar working on Molecular Biology, Cell Biology, Structural Biology, Cancer Research and Pathology and Forensic Medicine, having authored 119 papers that have together received 7.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (89 papers), Genomics and Chromatin Dynamics (40 papers), Microtubule and mitosis dynamics (26 papers), Fungal and yeast genetics research (19 papers), CRISPR and Genetic Engineering (18 papers), Cancer therapeutics and mechanisms (16 papers), DNA and Nucleic Acid Chemistry (9 papers) and Epigenetics and DNA Methylation (8 papers). The work is most often cited by research in Molecular Biology (6.4k citations), Cell Biology (1.1k citations), Cancer Research (731 citations), Aging (83 citations) and Oncology (1.1k citations). Philippe Pasero has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Hélène Tourrière, Susan M. Gasser, Armelle Lengronne, Laure Crabbé, Constance Alabert, Jérôme Poli, Étienne Schwob, Yea‐Lih Lin, Kenji Shimada and Aaron Bensimon. Their work appears in journals such as Molecular Cell, The EMBO Journal, Nature Communications, Genes & Development and Nucleic Acids Research.

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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