Y. Dufour
Impact in
- Endocrinology top 5%
- Biophysics top 5%
Papers in ⓘ
-
- Genomics and Phylogenetic Studies 6
- Gene Regulatory Network Analysis 5
- Diffusion and Search Dynamics 4
- Genetics 9
- Evolution and Genetic Dynamics 5
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Timothy J. Donohue (8 shared papers)Thierry Emonet (5 shared papers)Ann M. Stevens (1 shared paper)Alex Groisman (1 shared paper)Andre Levchenko (1 shared paper)Nicholas Frankel (3 shared papers)Luis Hernandez-Nunez (2 shared papers)Junjiajia Long (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Molecular Microbiology (2 papers)Journal of Bacteriology (2 papers)PLoS Genetics (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Y. Dufour
23 papers receiving 976 citations
Peers
Comparison fields: 5 of 93
- Endocrinology 87
- Biophysics 54
- Genetics 252
- Molecular Biology 618
- Condensed Matter Physics 95
Countries citing papers authored by Y. Dufour
This map shows the geographic impact of Y. Dufour'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 Y. Dufour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Dufour more than expected).
Fields of papers citing papers by Y. Dufour
This network shows the impact of papers produced by Y. Dufour. 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 Y. Dufour. The network helps show where Y. Dufour may publish in the future.
Co-authors
The 25 scholars most cited alongside Y. Dufour, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 220 | |
| 2 | 2010 | 91 | |
| 3 | 2014 | 78 | |
| 4 | 2008 | 57 | |
| 5 | 2010 | 55 | |
| 6 | 2012 | 54 | |
| 7 | 2014 | 54 | |
| 8 | 2016 | 50 | |
| 9 | 2016 | 44 | |
| 10 | 2021 | 41 | |
| 11 | 2012 | 41 | |
| 12 | 2019 | 40 | |
| 13 | 2018 | 37 | |
| 14 | 2012 | 32 | |
| 15 | 2020 | 21 | |
| 16 | 2010 | 19 | |
| 17 | 2021 | 16 | |
| 18 | 2020 | 13 | |
| 19 | 2021 | 6 | |
| 20 | 2012 | 5 |
About Y. Dufour
Y. Dufour is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Condensed Matter Physics and Ecology, having authored 23 papers that have together received 980 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Evolution and Genetic Dynamics (5 papers), Micro and Nano Robotics (5 papers), Gene Regulatory Network Analysis (5 papers), Bacterial Genetics and Biotechnology (4 papers), Diffusion and Search Dynamics (4 papers), Microbial Community Ecology and Physiology (4 papers) and Microfluidic and Bio-sensing Technologies (4 papers). The work is most often cited by research in Endocrinology (87 citations), Biophysics (54 citations), Genetics (252 citations), Molecular Biology (618 citations) and Condensed Matter Physics (95 citations). Y. Dufour has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Timothy J. Donohue, Thierry Emonet, Ann M. Stevens, Alex Groisman, Andre Levchenko, Nicholas Frankel, Luis Hernandez-Nunez, Junjiajia Long, Robert Landick and Patricia J. Kiley. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Microbiology, Journal of Bacteriology, PLoS Genetics and PLoS Computational Biology.
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.