Yves Millet

2.6k total citations · 3 hit papers
33 papers, 2.0k citations indexed

About

Yves Millet is a scholar working on Molecular Biology, Plant Science and Behavioral Neuroscience. According to data from OpenAlex, Yves Millet has authored 33 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Behavioral Neuroscience. Recurrent topics in Yves Millet's work include Stress Responses and Cortisol (4 papers), Metabolism and Genetic Disorders (3 papers) and Plant-Microbe Interactions and Immunity (3 papers). Yves Millet is often cited by papers focused on Stress Responses and Cortisol (4 papers), Metabolism and Genetic Disorders (3 papers) and Plant-Microbe Interactions and Immunity (3 papers). Yves Millet collaborates with scholars based in France, United States and Germany. Yves Millet's co-authors include Frederick M. Ausubel, Cristian H. Danna, Danièle Werck‐Reichhart, Nicole K. Clay, Matthew D. Simon, Wisuwat Songnuan, Paul Miller, Xuecheng Zhang, Caroline Kurtz and Vincent M. Isabella and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yves Millet

31 papers receiving 2.0k citations

Hit Papers

Innate Immune Responses Activated in Arabidopsis Roots by... 2010 2026 2015 2020 2010 2018 2019 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yves Millet France 15 972 793 183 181 176 33 2.0k
Chie Kohchi Japan 29 795 0.8× 246 0.3× 85 0.5× 121 0.7× 213 1.2× 114 2.7k
Jana Haase Ireland 16 855 0.9× 125 0.2× 193 1.1× 164 0.9× 349 2.0× 26 1.7k
Baohua Zhao China 24 579 0.6× 285 0.4× 53 0.3× 57 0.3× 174 1.0× 103 1.6k
Juan J. Valdez‐Alarcón Mexico 22 523 0.5× 230 0.3× 240 1.3× 92 0.5× 141 0.8× 46 1.4k
María de la Paz Sánchez Mexico 27 1.2k 1.2× 1.2k 1.5× 51 0.3× 51 0.3× 102 0.6× 70 2.3k
Alejandro Aballay United States 31 1.4k 1.5× 174 0.2× 168 0.9× 97 0.5× 328 1.9× 78 3.6k
François Delalande France 26 1.1k 1.1× 388 0.5× 109 0.6× 67 0.4× 120 0.7× 50 1.8k
Li Huang China 38 1.5k 1.6× 3.1k 3.9× 66 0.4× 98 0.5× 439 2.5× 160 4.8k
Yukio Okada Japan 26 715 0.7× 275 0.3× 275 1.5× 317 1.8× 37 0.2× 126 2.0k
G L Allee United States 35 440 0.5× 334 0.4× 344 1.9× 67 0.4× 186 1.1× 126 3.4k

Countries citing papers authored by Yves Millet

Since Specialization
Citations

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

Fields of papers citing papers by Yves Millet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yves Millet

This figure shows the co-authorship network connecting the top 25 collaborators of Yves Millet. A scholar is included among the top collaborators of Yves Millet 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 Yves Millet. Yves Millet 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
1.
Lim, Sun Min, Stefanie S. Schalm, Sewon Park, et al.. (2024). BLU-945, a potent and selective next-generation EGFR TKI, has antitumor activity in models of osimertinib-resistant non-small-cell lung cancer. Therapeutic Advances in Medical Oncology. 16. 7 indexed citations
2.
Tolonen, Andrew C., Nicholas Beauchemin, Lingyao Li, et al.. (2022). Synthetic glycans control gut microbiome structure and mitigate colitis in mice. Nature Communications. 13(1). 1244–1244. 46 indexed citations
3.
Kurtz, Caroline, Yves Millet, Marja Puurunen, et al.. (2019). An engineered E. coli Nissle improves hyperammonemia and survival in mice and shows dose-dependent exposure in healthy humans. Science Translational Medicine. 11(475). 280 indexed citations breakdown →
4.
Isabella, Vincent M., Mary Joan Castillo, David Lubkowicz, et al.. (2018). Development of a synthetic live bacterial therapeutic for the human metabolic disease phenylketonuria. Nature Biotechnology. 36(9). 857–864. 403 indexed citations breakdown →
5.
Cheng, Zhenyu, Jianfeng Li, Yajie Niu, et al.. (2015). Pathogen-secreted proteases activate a novel plant immune pathway. Nature. 521(7551). 213–216. 179 indexed citations
6.
Zhang, Xuecheng, Yves Millet, Zhenyu Cheng, Jenifer Bush, & Frederick M. Ausubel. (2015). Jasmonate signalling in Arabidopsis involves SGT1b–HSP70–HSP90 chaperone complexes. Nature Plants. 1(5). 124 indexed citations
7.
Wang, Qiyao, Yves Millet, Michael C. Chao, et al.. (2015). A Genome-Wide Screen Reveals that the Vibrio cholerae Phosphoenolpyruvate Phosphotransferase System Modulates Virulence Gene Expression. Infection and Immunity. 83(9). 3381–3395. 27 indexed citations
8.
Millet, Yves, David Álvarez, Simon Ringgaard, et al.. (2014). Insights into Vibrio cholerae Intestinal Colonization from Monitoring Fluorescently Labeled Bacteria. PLoS Pathogens. 10(10). e1004405–e1004405. 146 indexed citations
9.
Kandel, Sylvie E., Vincent Sauveplane, Vincent Compagnon, et al.. (2007). Characterization of a methyl jasmonate and wounding-responsive cytochrome P450 of Arabidopsis thaliana catalyzing dicarboxylic fatty acid formation in vitro. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
10.
Kandel, Sylvie E., Vincent Sauveplane, Vincent Compagnon, et al.. (2007). Characterization of a methyl jasmonate and wounding‐responsive cytochrome P450 of Arabidopsis thaliana catalyzing dicarboxylic fatty acid formation in vitro. FEBS Journal. 274(19). 5116–5127. 53 indexed citations
11.
Donnet, Anne, et al.. (1999). Pituitary abscess revealed by sleep attacks. Surgical Neurology. 51(5). 564–565. 4 indexed citations
12.
Genton, Pierre, et al.. (1995). Diagnostic de la narcolepsie-cataplexie: intérêt de l'enregistrement continu sous EEG ambulatoire. À propos de 20 observations. Neurophysiologie Clinique. 25(4). 187–195. 4 indexed citations
13.
Disdier, P., et al.. (1993). Fibromyalgie révélatrice d'une maladie de Gélineau: à propos de 2 cas. La Revue de Médecine Interne. 14(10). 988–988. 1 indexed citations
14.
Michel, Bernard François, C. Sebban, Roland Sambuc, et al.. (1991). Intérêt de l'EEG quantifié dans la maladie d'Alzheimer. Modifications induites par le piracétam. Neurophysiologie Clinique. 21(5-6). 411–423. 6 indexed citations
16.
Conte‐Devolx, B., F Boudouresque, P. Giraud, et al.. (1983). Effect of 41-CRF antiserum on the secretion of ACTH, B-Endorphin and α-MSH in the rat. Peptides. 4(3). 301–304. 17 indexed citations
18.
Millet, Yves, et al.. (1977). [Radioimmunoassay for vasopressin : plasma levels after stimulation by I-V nicotine injection (author's transl)(proceedings)].. PubMed. 37(4). 291–2. 1 indexed citations
19.
Millet, Yves. (1973). Problème des emprunts tchèques en « consonne + r » et « consonne + er ». Revue des études slaves. 49(1). 315–322.
20.

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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