Charles Plessy

13.7k citations
51 papers · 1.6k · h-index 21

Impact in

Papers in

    • Pluripotent Stem Cells Research 9
    • RNA and protein synthesis mechanisms 9
    • CRISPR and Genetic Engineering 7
    • Molecular Biology Techniques and Applications 6
    • RNA Research and Splicing 6
    • Single-cell and spatial transcriptomics 5
    • Developmental Biology and Gene Regulation 5
    • Liver physiology and pathology 6

Charles Plessy

49 papers receiving 1.6k citations

Peers

Charles Plessy
Comparison fields: 5 of 110
  • Developmental Neuroscience 106
  • Sensory Systems 78
  • Molecular Biology 1.1k
  • Cancer Research 215
  • Cell Biology 193
Replace Rory Kirchner with:
Rory Kirchner United States
Shirley Horn‐Saban Israel
Gangcai Xie China
Kazushige Hirosawa Japan
P. Duc Si Dong United States
Monique Frain France
Quansheng Du United States
Karine Duroure France
Jason R. Willer United States
Jenn‐Yah Yu Taiwan
Charles Plessy relative to Rory Kirchner United States Rory Kirchner's profile →
Citations per field
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Citations per year

Countries citing papers authored by Charles Plessy

Since Specialization
Citations

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

Fields of papers citing papers by Charles Plessy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Charles Plessy, 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 Charles Plessy Line = papers co-authored together Charles Plessy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009214
2 2003150
3 2012144
4 2014133
5 200678
6 200458
7 200458
8 201153
9 201252
10 200551
11 201150
12 201047
13 201445
14 201443
15 201739
16 201731
17 200430
18 201928
19 201427
20 200927

About Charles Plessy

Charles Plessy is a scholar working on Molecular Biology, Hepatology, Biomedical Engineering, Surgery and Cancer Research, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), RNA and protein synthesis mechanisms (9 papers), CRISPR and Genetic Engineering (7 papers), Liver physiology and pathology (6 papers), Molecular Biology Techniques and Applications (6 papers), RNA Research and Splicing (6 papers), Single-cell and spatial transcriptomics (5 papers) and Developmental Biology and Gene Regulation (5 papers). The work is most often cited by research in Developmental Neuroscience (106 citations), Sensory Systems (78 citations), Molecular Biology (1.1k citations), Cancer Research (215 citations) and Cell Biology (193 citations). Charles Plessy has collaborated with scholars based in Japan, France and United Kingdom. Frequent co-authors include Piero Carninci, Uwe Strähle, Patrick Blader, Stefano Gustincich, T Gingeras, Alexander Dobin, Philippe Batut, Roberto Simone, Dejan Lazarević and Sachi Kato. Their work appears in journals such as Genome Research, Nucleic Acids Research, BMC Genomics, BioTechniques and Biochemical Engineering Journal.

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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