Benoı̂t Pinson

2.5k citations
66 papers · 1.9k · 1 hit paper · h-index 25

Impact in

Papers in

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

Benoı̂t Pinson

65 papers receiving 1.9k citations

Benoı̂t Pinson's Hit Papers

Macrophages recycle phagocytosed bacteria to fuel immunometabolic responses 2025 · 27 citations
270Years since publication510152025

Peers

Benoı̂t Pinson
Comparison fields: 5 of 100
  • Aging 69
  • Physiology 110
  • Molecular Biology 1.4k
  • Cell Biology 196
  • Geriatrics and Gerontology 37
Replace Sunhong Kim with:
Sunhong Kim South Korea
Pascual Sanz Spain
Karolina Pierzynowska Poland
Joachim Altschmied Germany
Kyu‐Sun Lee South Korea
Leonor Miller‐Fleming United Kingdom
Dave Bridges United States
Yajuan Wang China
Gustavo J.S. Pereira Brazil
Ken-ichi Yamamoto Japan
Benoı̂t Pinson relative to Sunhong Kim South Korea Sunhong Kim's profile →
Citations per field
00.5×1.5×2.2×
Sunhong Kim · 1×
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 2015206
2 2008132
3 2011104
4 200287
5 200983
6 200178
7 201175
8 200671
9 200966
10 200059
11 200458
12 201251
13 202241
14 200839
15 201937
16 200834
17 201232
18 201932
19 201132
20 201532

About Benoı̂t Pinson

Benoı̂t Pinson is a scholar working on Molecular Biology, Cell Biology, Physiology, Genetics and Epidemiology, 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), Ubiquitin and proteasome pathways (5 papers), Cellular transport and secretion (5 papers), Metabolism, Diabetes, and Cancer (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 (69 citations), Physiology (110 citations), Molecular Biology (1.4k citations), Cell Biology (196 citations) and Geriatrics and Gerontology (37 citations). Benoı̂t Pinson has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Bertrand Daignan‐Fornier, Isabelle Sagot, Christelle Saint‐Marc, Fanny Coulpier, Aude Panatier, Juan A. Varela, Stéphane H. R. Oliet, Laurent Groc, Julien P. Dupuis and Jérôme Baufreton. Their work appears in journals such as Journal of Biological Chemistry, Genetics, Molecular Microbiology, Nucleic Acids Research and Biochemical 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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