Emmanuel Faure
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Cell Image Analysis Techniques
- Spectroscopy Techniques in Biomedical and Chemical Research
- Aging top 10%
Papers in
-
- Single-cell and spatial transcriptomics 5
- Developmental Biology and Gene Regulation 3
- Gene expression and cancer classification 2
-
- Cell Image Analysis Techniques 7
- Advanced Fluorescence Microscopy Techniques 3
- Co-authors
- Isabelle S. Peter (2 shared papers)Eric H. Davidson (2 shared papers)Miguel Luengo-Oroz (3 shared papers)Nadine Peyriéras (4 shared papers)Louise Duloquin (3 shared papers)Paul Bourgine (3 shared papers)A. Santos (2 shared papers)Thierry Savy (2 shared papers)
- Journals
- Science (2 papers)Developmental Cell (1 paper)Journal of Computational Biology (1 paper)Current Biology (1 paper)Nature Communications (1 paper)
- Partner nations
- FranceUnited StatesSpain
In The Last Decade
Emmanuel Faure
21 papers receiving 742 citations
Peers
Comparison fields: 5 of 118
- Biophysics 210
- Aging 26
- Cell Biology 141
- Molecular Biology 384
- Structural Biology 5
Countries citing papers authored by Emmanuel Faure
This map shows the geographic impact of Emmanuel Faure'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 Emmanuel Faure with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Faure more than expected).
Fields of papers citing papers by Emmanuel Faure
This network shows the impact of papers produced by Emmanuel Faure. 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 Emmanuel Faure. The network helps show where Emmanuel Faure may publish in the future.
Co-authors
The 25 scholars most cited alongside Emmanuel Faure, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 279 | |
| 2 | 2012 | 123 | |
| 3 | 2019 | 81 | |
| 4 | 2020 | 80 | |
| 5 | 2010 | 44 | |
| 6 | 2009 | 41 | |
| 7 | 2021 | 37 | |
| 8 | 2012 | 14 | |
| 9 | 2019 | 14 | |
| 10 | Cost-effective active learning for melanoma segmentation | 2017 | 9 |
| 11 | 2014 | 8 | |
| 12 | Intertemporal topic correlations in online media | 2007 | 6 |
| 13 | 2013 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2018 | 3 | |
| 17 | Intertemporal topic correlations in online media A comparative study on weblogs and news websites | 2007 | 2 |
| 18 | 2022 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2023 | 1 |
About Emmanuel Faure
Emmanuel Faure is a scholar working on Molecular Biology, Biophysics, Computer Vision and Pattern Recognition, Artificial Intelligence and Global and Planetary Change, having authored 21 papers that have together received 758 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (7 papers), Single-cell and spatial transcriptomics (5 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Developmental Biology and Gene Regulation (3 papers), Marine Ecology and Invasive Species (3 papers), Gene expression and cancer classification (2 papers), Advanced Text Analysis Techniques (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Biophysics (210 citations), Aging (26 citations), Cell Biology (141 citations), Molecular Biology (384 citations) and Structural Biology (5 citations). Emmanuel Faure has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Isabelle S. Peter, Eric H. Davidson, Miguel Luengo-Oroz, Nadine Peyriéras, Louise Duloquin, Paul Bourgine, A. Santos, Thierry Savy, Bruno Leggio and Christophe Godin. Their work appears in journals such as Science, Developmental Cell, Journal of Computational Biology, Current Biology 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.