Jean‐Christophe Doré
- Insect Science top 2%
- Molecular Biology
- Food Science top 5%
- Plant Science
- Statistics, Probability and Uncertainty top 2%
- Co-authors
- Tiiu OjasooJames DevillersClaude VielJ. F. MiquelMonique MorlotM.H. Pham-DelègueYoshiko OkuboD. Michelot
- Topics
- Computational Drug Discovery Methods (8 papers)Analytical Chemistry and Chromatography (7 papers)scientometrics and bibliometrics research (6 papers)
In The Last Decade
Jean‐Christophe Doré
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 150
- Insect Science 303
- Molecular Biology 174
- Food Science 162
- Plant Science 152
- Statistics, Probability and Uncertainty 143
Countries citing papers authored by Jean‐Christophe Doré
This map shows the geographic impact of Jean‐Christophe Doré'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‐Christophe Doré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Christophe Doré more than expected).
Fields of papers citing papers by Jean‐Christophe Doré
This network shows the impact of papers produced by Jean‐Christophe Doré. 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‐Christophe Doré. The network helps show where Jean‐Christophe Doré may publish in the future.
Co-authorship network of co-authors of Jean‐Christophe Doré
This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Christophe Doré. A scholar is included among the top collaborators of Jean‐Christophe Doré 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‐Christophe Doré. Jean‐Christophe Doré is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 88 | |
| 3 | 7 | |
| 4 | Liens phylogénétiques dégagés entre - Tenrecinés, Insectivores, prosimiens, Simiens non-humanoïdes, Homme -et Chiroptères (Méga- ou Micro-), au moyen d'analyses multivariées du volume des étages encéphaliques et de quelques macro-structures télencéphaliques | 2 |
| 5 | 6 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 86 | |
| 13 | 9 | |
| 14 | 7 | |
| 15 | 8 | |
| 16 | 29 | |
| 17 | 15 | |
| 18 | 14 | |
| 19 | 7 | |
| 20 | Etude au moyen d'une analyse des correspondances multiples des propriétés insecticides et enzymatiques de N-méthyl carbamates de phényle | 1 |
About Jean‐Christophe Doré
Jean‐Christophe Doré is a scholar working on Statistics, Probability and Uncertainty, Insect Science and Analytical Chemistry, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Analytical Chemistry and Chromatography (7 papers) and scientometrics and bibliometrics research (6 papers). The work is most often cited by research in Insect Science (303 citations), Statistics, Probability and Uncertainty (143 citations) and Biochemistry (105 citations). Jean‐Christophe Doré has collaborated with scholars based in France, Morocco and Iran. Frequent co-authors include Tiiu Ojasoo, James Devillers, Claude Viel, J. F. Miquel, Monique Morlot, M.H. Pham-Delègue, Yoshiko Okubo, D. Michelot, Christian Le Doucen and Jean‐Paul Soulillou. Their work appears in journals such as Nature, Journal of Agricultural and Food Chemistry and Food Chemistry.
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.