Fred Etoc
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Molecular Biology top 5%
- Pluripotent Stem Cells Research
- Renal and related cancers
- CRISPR and Genetic Engineering
- Developmental Biology and Gene Regulation
Papers in
-
- Photoreceptor and optogenetics research 4
- Genetic Neurodegenerative Diseases 4
-
- Cellular Mechanics and Interactions 5
- Microtubule and mitosis dynamics 4
- Co-authors
- Ali H. BrivanlouEric D. SiggiaAryeh WarmflashBenoît SorreJakob J. MetzgerAnna YoneyAlbert RuzoMohammad Zeeshan Ozair
- Journals
- Biophysical Journal (3 papers)Developmental Cell (2 papers)eLife (2 papers)Nature Methods (1 paper)Current topics in developmental biology (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Fred Etoc
20 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Cell Biology 363
- Molecular Biology 1.3k
- Biomedical Engineering 616
- Biophysics 78
- Developmental Neuroscience 43
Countries citing papers authored by Fred Etoc
This map shows the geographic impact of Fred Etoc'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 Fred Etoc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Etoc more than expected).
Fields of papers citing papers by Fred Etoc
This network shows the impact of papers produced by Fred Etoc. 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 Fred Etoc. The network helps show where Fred Etoc may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fred Etoc, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 23 | |
| 2 | 2022 | 10 | |
| 3 | 2021 | 25 | |
| 4 | 2021 | 13 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 16 | |
| 7 | 2019 | 112 | |
| 8 | 2019 | 126 | |
| 9 | 2018 | 55 | |
| 10 | 2018 | 108 | |
| 11 | 2016 | 234 | |
| 12 | 2016 | 26 | |
| 13 | 2016 | 113 | |
| 14 | 2015 | 42 | |
| 15 | 2015 | 67 | |
| 16 | A method to recapitulate early embryonic spatial patterning in human embryonic stem cells Hit paper breakdown → | 2014 | 615 |
| 17 | 2014 | 2 | |
| 18 | 2014 | 50 | |
| 19 | 2013 | 1 | |
| 20 | 2013 | 114 |
About Fred Etoc
Fred Etoc is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Modeling and Simulation, Molecular Biology and Biophysics, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), Cellular Mechanics and Interactions (5 papers), Photoreceptor and optogenetics research (4 papers), Microtubule and mitosis dynamics (4 papers), Genetic Neurodegenerative Diseases (4 papers), 3D Printing in Biomedical Research (3 papers), Photosynthetic Processes and Mechanisms (2 papers) and Light effects on plants (2 papers). The work is most often cited by research in Cell Biology (363 citations), Molecular Biology (1.3k citations), Biomedical Engineering (616 citations), Biophysics (78 citations) and Developmental Neuroscience (43 citations). Fred Etoc has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Ali H. Brivanlou, Eric D. Siggia, Aryeh Warmflash, Benoît Sorre, Jakob J. Metzger, Anna Yoney, Albert Ruzo, Mohammad Zeeshan Ozair, Mathieu Coppey and Maxime Dahan. Their work appears in journals such as Biophysical Journal, Developmental Cell, eLife, Nature Methods and Current topics in developmental 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.