Benoît Fleury

50 papers receiving 1.1k citations

Peers

Benoît Fleury
Comparison fields: 5 of 122
  • Electronic, Optical and Magnetic Materials 256
  • Pathology and Forensic Medicine 244
  • Structural Biology 18
  • Applied Mathematics 86
  • Materials Chemistry 301
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Santiago Casado Spain
Xiaoxin Zheng China
Tatsuya Fujino Japan
Yue He China
Pedro F. Aramendı́a Argentina
Cristina Consani Austria
William J. Middleton United States
Hiroshi Maruyama Japan
Jun Kumagai Japan
Н. И. Сорокина Russia
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Citations per year

Countries citing papers authored by Benoît Fleury

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Fleury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019114
2 2012108
3 1997103
4 201174
5 200571
6 200759
7 199155
8 199254
9 199048
10 201545
11 201429
12 200929
13 201429
14 199022
15 198421
16 200821
17
Alcohol and aldehyde dehydrogenase genotypes, alcoholism and alcohol related disease.
199418
18 201317
19 201116
20 201016

About Benoît Fleury

Benoît Fleury is a scholar working on Structural Biology, Electronic, Optical and Magnetic Materials, Pathology and Forensic Medicine, Developmental Neuroscience and Biological Psychiatry, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (10 papers), Magnetism in coordination complexes (9 papers), Molecular Junctions and Nanostructures (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Point processes and geometric inequalities (4 papers), Diet and metabolism studies (4 papers), Geometric Analysis and Curvature Flows (4 papers) and Lanthanide and Transition Metal Complexes (4 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (256 citations), Pathology and Forensic Medicine (244 citations), Structural Biology (18 citations), Applied Mathematics (86 citations) and Materials Chemistry (301 citations). Benoît Fleury has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Patrice Couzigou, A. Iron, C. Coutelle, A Cassaigne, Mario Ruben, Alexis Groppi, Grigoris Paouris, Olivier Guédon, Jascha Repp and Niko Pavliček. Their work appears in journals such as Dalton Transactions, Alcohol and Alcoholism, Biological Psychiatry, Chemical Communications and Nature Communications.

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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