Jean Bénard

6.4k total citations
150 papers, 4.5k citations indexed

About

Jean Bénard is a scholar working on Neurology, Molecular Biology and Oncology. According to data from OpenAlex, Jean Bénard has authored 150 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Neurology, 67 papers in Molecular Biology and 57 papers in Oncology. Recurrent topics in Jean Bénard's work include Neuroblastoma Research and Treatments (68 papers), Cancer therapeutics and mechanisms (23 papers) and Cancer, Hypoxia, and Metabolism (21 papers). Jean Bénard is often cited by papers focused on Neuroblastoma Research and Treatments (68 papers), Cancer therapeutics and mechanisms (23 papers) and Cancer, Hypoxia, and Metabolism (21 papers). Jean Bénard collaborates with scholars based in France, United States and Switzerland. Jean Bénard's co-authors include G Riou, Sétha Douc‐Rasy, Ute M. Moll, Michael P. LaQuaglia, Jean‐Charles Ahomadegbe, Olivier Hartmann, Dominique Valteau‐Couanet, Gilda Raguénez, Pierre Duvillard and Étienne Blanc and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jean Bénard

148 papers receiving 4.4k citations

Peers

Jean Bénard
Comparison fields: 5 of 130
  • Molecular Biology 2.6k
  • Oncology 1.8k
  • Neurology 1.4k
  • Cancer Research 973
  • Epidemiology 379
Replace Meredith S. Irwin with:
Meredith S. Irwin Canada
Olaf Witt Germany
Subrata Sen United States
Donald L. Durden United States
Volker Ehemann Germany
Paul Haluska United States
John F. Lyons United States
Makoto Saegusa Japan
Vita Golubovskaya United States
Bjørn Risberg Norway
Meredith S. Irwin Canada View profile →
Citations per field, relative to Jean Bénard
Jean Bénard · 1×
Citations per year, relative to Jean Bénard
Jean Bénard · 1×

Countries citing papers authored by Jean Bénard

Since Specialization
Citations

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

Fields of papers citing papers by Jean Bénard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Bénard

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Bénard. A scholar is included among the top collaborators of Jean Bénard 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 Jean Bénard. Jean Bénard 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
# Work Indexed citations
1 2
2 13
3 17
4 59
5 13
6 50
7
Establishment of a new human prostate cancer cell line, IGR-CaP1, from a localized epithelial prostate cancer.
1
8 25
9 81
10 1
11 26
12 4
13 61
14
Vers une carte génétique fonctionnelle des neuroblastomes métastatiques pour une thérapeutique adaptée
1
15
[TSG101 and breast cancer: a correctly named tumor-suppressor gene?].
1
16 6
17 148
18 89
19 17
20 66

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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