Benoı̂t Pinson

2.5k citations
66 papers · 1.9k indexed · h-index 24

Impact in

Papers in

    • Fungal and yeast genetics research 27
    • Biochemical and Molecular Research 22
    • Genomics and Chromatin Dynamics 11
    • Metabolism, Diabetes, and Cancer 5
    • Ubiquitin and proteasome pathways 5
    • Polyamine Metabolism and Applications 5
    • Cellular transport and secretion 5

Benoı̂t Pinson

65 papers receiving 1.8k citations

Peers

Benoı̂t Pinson
Comparison fields: 5 of 101
  • Aging 67
  • Physiology 111
  • Molecular Biology 1.4k
  • Cell Biology 197
  • Cellular and Molecular Neuroscience 189
Replace Pascual Sanz with:
Pascual Sanz Spain
Sunhong Kim South Korea
Ilaria Drago Italy
Dave Bridges United States
Scott Kulich United States
Leonor Miller‐Fleming United Kingdom
Yajuan Wang China
Joachim Altschmied Germany
Zhixue Liu China
Stefaan Wera Belgium
Benoı̂t Pinson relative to Pascual Sanz Spain Pascual Sanz's profile →
Citations per field
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Citations per year

Countries citing papers authored by Benoı̂t Pinson

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t Pinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015199
2 2008126
3 2011101
4 200285
5 200978
6 200176
7 201171
8 200670
9 200966
10 200055
11 200454
12 201250
13 202240
14 200839
15 201937
16 200833
17 201532
18 201131
19 201931
20 200930

About Benoı̂t Pinson

Benoı̂t Pinson is a scholar working on Molecular Biology, Cell Biology, Physiology, Epidemiology and Genetics, having authored 66 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (27 papers), Biochemical and Molecular Research (22 papers), Genomics and Chromatin Dynamics (11 papers), Metabolism, Diabetes, and Cancer (5 papers), Cellular transport and secretion (5 papers), Ubiquitin and proteasome pathways (5 papers), Polyamine Metabolism and Applications (5 papers) and Calcium signaling and nucleotide metabolism (4 papers). The work is most often cited by research in Aging (67 citations), Physiology (111 citations), Molecular Biology (1.4k citations), Cell Biology (197 citations) and Cellular and Molecular Neuroscience (189 citations). Benoı̂t Pinson has collaborated with scholars based in France, Germany and Spain. Frequent co-authors include Bertrand Daignan‐Fornier, Isabelle Sagot, Christelle Saint‐Marc, Fanny Coulpier, Laurent Groc, Juan A. Varela, Aude Panatier, Stéphane H. R. Oliet, Ciaran Murphy‐Royal and Julien P. Dupuis. Their work appears in journals such as Journal of Biological Chemistry, Genetics, Nucleic Acids Research, Molecular Microbiology and The Journal of Cell Biology.

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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