Bruno Bienfait

1.5k citations
29 papers · 1.1k indexed · h-index 15
Topics
Computational Drug Discovery Methods (12 papers)Protein Kinase Regulation and GTPase Signaling (8 papers)Analytical Chemistry and Chromatography (5 papers)

In The Last Decade

Bruno Bienfait

28 papers receiving 1.1k citations

Peers

Bruno Bienfait
Comparison fields: 5 of 115
  • Molecular Biology 639
  • Computational Theory and Mathematics 504
  • Organic Chemistry 122
  • Spectroscopy 122
  • Pharmacology 116
Replace J. J. Langowski with:
J. J. Langowski United Kingdom
Valery Tkachenko United States
Hongmao Sun United States
Tomasz Magdziarz Poland
Burton A. Leland United States
Maykel Cruz‐Monteagudo Portugal
Qian Xie United States
Yanli Wang China
Tuğba Önal-Süzek Türkiye
Marcus Ennis United Kingdom
Bruno Bienfait relative to J. J. Langowski United Kingdom J. J. Langowski's profile →
Citations per field
00.5×
J. J. Langowski · 1×
Citations per year

Countries citing papers authored by Bruno Bienfait

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Bienfait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Bienfait

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Bienfait. A scholar is included among the top collaborators of Bruno Bienfait 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 Bruno Bienfait. Bruno Bienfait 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 17
2 10
3 1
4 31
5 220
6 0
7 14
8 1
9 68
10 169
11 71
12 8
13 20
14 1
15 90
16 17
17 20
18 28
19
[Carpal tunnel operation: advantages and disadvantages].
3
20
[Operation to open the carpal tunnel. Advantages and disadvantages].
1

About Bruno Bienfait

Bruno Bienfait is a scholar working on Computational Theory and Mathematics, Spectroscopy and Physical and Theoretical Chemistry, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Protein Kinase Regulation and GTPase Signaling (8 papers) and Analytical Chemistry and Chromatography (5 papers). The work is most often cited by research in Computational Theory and Mathematics (504 citations), Pharmacology (111 citations) and Molecular Biology (639 citations). Bruno Bienfait has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Peter Ertl, Marc C. Nicklaus, Johannes Voigt, Shaomeng Wang, Johann Gasteiger, Lothar Terfloth, Peter M. Blumberg, Víctor E. Márquez, Nancy E. Lewin and Kassoum Nacro. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

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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