Jean‐Eudes Dazard

87 total papers · 824 total citations
42 papers, 573 citations indexed

About

Jean‐Eudes Dazard is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Statistics and Probability. According to data from OpenAlex, Jean‐Eudes Dazard has authored 42 papers receiving a total of 573 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 10 papers in Health, Toxicology and Mutagenesis and 6 papers in Statistics and Probability. Recurrent topics in Jean‐Eudes Dazard's work include Gene expression and cancer classification (7 papers), Air Quality and Health Impacts (7 papers) and Statistical Methods and Inference (6 papers). Jean‐Eudes Dazard is often cited by papers focused on Gene expression and cancer classification (7 papers), Air Quality and Health Impacts (7 papers) and Statistical Methods and Inference (6 papers). Jean‐Eudes Dazard collaborates with scholars based in United States, Israel and Switzerland. Jean‐Eudes Dazard's co-authors include David Givol, Gideon Rechavi, Eytan Domany, Ninette Amariglio, J. Sunil Rao, Hilah Gal, Daniela Schlatzer, Mark R. Chance, Rob M. Ewing and Sanjay Rajagopalan and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Jean‐Eudes Dazard

34 papers receiving 563 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jean‐Eudes Dazard 263 64 59 53 51 42 573
Shiho Yoshida 307 1.2× 47 0.7× 27 0.5× 44 0.8× 42 0.8× 28 675
Mario Venza 359 1.4× 78 1.2× 73 1.2× 74 1.4× 45 0.9× 26 611
Jingwen Huang 188 0.7× 58 0.9× 55 0.9× 45 0.8× 18 0.4× 54 667
Motohiko Oshima 236 0.9× 61 1.0× 85 1.4× 73 1.4× 34 0.7× 28 574
Nian Dong 307 1.2× 112 1.8× 32 0.5× 92 1.7× 40 0.8× 32 541
Gilka Jorge Fígaro Gattás 301 1.1× 76 1.2× 75 1.3× 147 2.8× 94 1.8× 41 672
Leo F. Skinnider 116 0.4× 57 0.9× 62 1.1× 126 2.4× 37 0.7× 45 632
Olof Danielsson 227 0.9× 51 0.8× 30 0.5× 37 0.7× 20 0.4× 33 576
Huei‐Sheng Huang 430 1.6× 82 1.3× 21 0.4× 114 2.2× 41 0.8× 27 608
C. M. Goodall 183 0.7× 61 1.0× 105 1.8× 138 2.6× 51 1.0× 42 664

Countries citing papers authored by Jean‐Eudes Dazard

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Eudes Dazard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean‐Eudes Dazard

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Eudes Dazard. A scholar is included among the top collaborators of Jean‐Eudes Dazard 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‐Eudes Dazard. Jean‐Eudes Dazard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026