Yves Millet
- Molecular Biology top 10%
- Plant Science top 5%
- Food Science top 5%
- Biotechnology top 5%
- Genetics
- Co-authors
- Frederick M. AusubelCristian H. DannaDanièle Werck‐ReichhartNicole K. ClayMatthew D. SimonWisuwat SongnuanPaul MillerXuecheng Zhang
- Topics
- Stress Responses and Cortisol (4 papers)Metabolism and Genetic Disorders (3 papers)Plant-Microbe Interactions and Immunity (3 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Yves Millet
31 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 972
- Plant Science 793
- Food Science 183
- Biotechnology 181
- Genetics 176
Countries citing papers authored by Yves Millet
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 46 | |
| 3 | An engineered E. coli Nissle improves hyperammonemia and survival in mice and shows dose-dependent exposure in healthy humansbreakdown → | 280 |
| 4 | Development of a synthetic live bacterial therapeutic for the human metabolic disease phenylketonuriabreakdown → | 403 |
| 5 | 179 | |
| 6 | 124 | |
| 7 | 27 | |
| 8 | 146 | |
| 9 | Characterization of a methyl jasmonate and wounding-responsive cytochrome P450 of Arabidopsis thaliana catalyzing dicarboxylic fatty acid formation in vitro | 2 |
| 10 | 53 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | 29 | |
| 16 | 17 | |
| 17 | 2 | |
| 18 | [Radioimmunoassay for vasopressin : plasma levels after stimulation by I-V nicotine injection (author's transl)(proceedings)]. | 1 |
| 19 | 0 | |
| 20 | 0 |
About Yves Millet
Yves Millet is a scholar working on Behavioral Neuroscience, Clinical Biochemistry and Endocrinology, having authored 33 papers that have together received 2.0k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (4 papers), Metabolism and Genetic Disorders (3 papers) and Plant-Microbe Interactions and Immunity (3 papers). The work is most often cited by research in Behavioral Neuroscience (102 citations), Endocrinology (146 citations) and Plant Science (793 citations). Yves Millet has collaborated with scholars based in France, United States and Germany. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.