Jean‐Eudes Dazard

835 citations
42 papers · 577 indexed · h-index 14
Topics
Air Quality and Health Impacts (7 papers)Gene expression and cancer classification (7 papers)Statistical Methods and Inference (6 papers)
Journals
CirculationSHILAP Revista de lepidopterologíaThe Journal of Immunology

In The Last Decade

Jean‐Eudes Dazard

35 papers receiving 567 citations

Peers

Jean‐Eudes Dazard
Comparison fields: 5 of 102
  • Molecular Biology 263
  • Oncology 64
  • Health, Toxicology and Mutagenesis 63
  • Cancer Research 53
  • Genetics 51
Replace Emilie Bourdonnay with:
Emilie Bourdonnay France
Christopher B. Toomey United States
Ryoko Saito Japan
Guey‐Yueh Shi Taiwan
Olivier Guipaud France
Aloys Lueken Germany
Karin Kilian Germany
Xianyao Wang China
Shunji Nakatsuji Japan
Jean‐Eudes Dazard relative to Emilie Bourdonnay France Emilie Bourdonnay's profile →
Citations per field
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 5
6 19
7 7
8 7
9 13
10 22
11 0
12 18
13 7
14 24
15 15
16 5
17 12
18 23
19 1
20 39

About Jean‐Eudes Dazard

Jean‐Eudes Dazard is a scholar working on Speech and Hearing, Statistics and Probability and Health, Toxicology and Mutagenesis, having authored 42 papers that have together received 577 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (7 papers), Gene expression and cancer classification (7 papers) and Statistical Methods and Inference (6 papers). The work is most often cited by research in Toxicology (16 citations), Dermatology (41 citations) and Health, Toxicology and Mutagenesis (63 citations). Jean‐Eudes Dazard has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include David Givol, Gideon Rechavi, Eytan Domany, Ninette Amariglio, J. Sunil Rao, Hilah Gal, Mark R. Chance, Daniela Schlatzer, Rob M. Ewing and Zhuo Chen. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and The Journal of Immunology.

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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