Benoı̂t de Chassey

1.6k citations
25 papers · 910 indexed · h-index 16
Topics
Bioinformatics and Genomic Networks (8 papers)interferon and immune responses (6 papers)RNA and protein synthesis mechanisms (6 papers)

In The Last Decade

Benoı̂t de Chassey

25 papers receiving 903 citations

Peers

Benoı̂t de Chassey
Comparison fields: 5 of 84
  • Molecular Biology 535
  • Epidemiology 233
  • Immunology 208
  • Cell Biology 160
  • Infectious Diseases 125
Replace Laurène Meyniel‐Schicklin with:
Laurène Meyniel‐Schicklin France
Grégory Neveu United States
Ralf Bartenschlager Germany
Alison W. Ashbrook United States
Szu‐Yuan Pu United States
Katerina Artavanis‐Tsakonas United Kingdom
M.P. Schutze France
Pietro Scaturro Germany
Sumana Sanyal United Kingdom
Christine Langer Australia
Benoı̂t de Chassey relative to Laurène Meyniel‐Schicklin France Laurène Meyniel‐Schicklin's profile →
Citations per field
00.5×3.3×
Laurène Meyniel‐Schicklin · 1×
Citations per year

Countries citing papers authored by Benoı̂t de Chassey

Since Specialization
Citations

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

Fields of papers citing papers by Benoı̂t de Chassey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoı̂t de Chassey

This figure shows the co-authorship network connecting the top 25 collaborators of Benoı̂t de Chassey. A scholar is included among the top collaborators of Benoı̂t de Chassey 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 Benoı̂t de Chassey. Benoı̂t de Chassey 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 10
2 29
3 37
4 76
5 85
6 1
7 58
8 29
9 37
10 51
11 67
12 9
13 124
14 15
15 41
16 10
17 6
18 89
19 40
20 13

About Benoı̂t de Chassey

Benoı̂t de Chassey is a scholar working on Hepatology, Cell Biology and Molecular Biology, having authored 25 papers that have together received 910 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), interferon and immune responses (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Immunology (208 citations), Cell Biology (160 citations) and Virology (45 citations). Benoı̂t de Chassey has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Vincent Lotteau, Laurène Meyniel‐Schicklin, Patrice André, Vincent Navratil, Anne Aublin‐Gex, François Letourneur, Chantal Rabourdin‐Combe, Pierre Cosson, Jacky Vonderscher and Chantal Combe. Their work appears in journals such as Nucleic Acids Research, Scientific Reports and Molecular Biology of the Cell.

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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