Benoît Roubinet

804 citations
29 papers · 683 · h-index 14

Impact in

Papers in

Benoît Roubinet

27 papers receiving 678 citations

Peers

Benoît Roubinet
Comparison fields: 5 of 66
  • Structural Biology 29
  • Biophysics 94
  • Cellular and Molecular Neuroscience 164
  • Materials Chemistry 369
  • Organic Chemistry 175
Replace Kimberly E. Beatty with:
Kimberly E. Beatty United States
Zeinab Darwich France
Marina Rubini Germany
Rémy Kreder France
Rubén Ruiz‐González Spain
Krisztina Németh Hungary
Qi Tang China
Thierry Giraud France
Murat Sünbül Germany
Enrique Marcos Spain
Benoît Roubinet relative to Kimberly E. Beatty United States Kimberly E. Beatty's profile →
Citations per field
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Kimberly E. Beatty · 1×
Citations per year

Countries citing papers authored by Benoît Roubinet

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Roubinet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017200
2 2016137
3 202049
4 201531
5 201423
6 202522
7 201622
8 201422
9 201821
10 201918
11 201817
12 202215
13 201514
14 202313
15 202311
16 202310
17 202010
18 202110
19 20199
20 20237

About Benoît Roubinet

Benoît Roubinet is a scholar working on Molecular Biology, Organic Chemistry, Immunology, Materials Chemistry and Spectroscopy, having authored 29 papers that have together received 683 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Luminescence and Fluorescent Materials (6 papers), Carbohydrate Chemistry and Synthesis (5 papers), Click Chemistry and Applications (4 papers), Molecular Sensors and Ion Detection (4 papers), Immunotherapy and Immune Responses (4 papers), Galectins and Cancer Biology (3 papers) and Advanced Fluorescence Microscopy Techniques (3 papers). The work is most often cited by research in Structural Biology (29 citations), Biophysics (94 citations), Cellular and Molecular Neuroscience (164 citations), Materials Chemistry (369 citations) and Organic Chemistry (175 citations). Benoît Roubinet has collaborated with scholars based in France, Germany and Japan. Frequent co-authors include Stefan W. Hell, Vladimir N. Belov, Mariano L. Bossi, Heydar Shojaei, Masahiro Irie, Mark Bates, Michael Weber, Pierre‐Yves Renard, Anthony Romieu and Ludovic Landemarre. Their work appears in journals such as Chemistry - A European Journal, Frontiers in Immunology, Tetrahedron Letters, Gut Microbes and The Journal of Organic Chemistry.

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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