Fred Etoc

3.1k citations
22 papers · 2.2k · 1 hit paper · h-index 17

Impact in

    • Cellular Mechanics and Interactions
    • Pluripotent Stem Cells Research
    • Renal and related cancers
    • CRISPR and Genetic Engineering
    • Developmental Biology and Gene Regulation

Papers in

Fred Etoc

22 papers receiving 2.2k citations

Fred Etoc's Hit Papers

A method to recapitulate early embryonic spatial patterning in human embryonic stem cells 2014 · 666 citations
6660+4+8Years since publication200400600

Peers

Fred Etoc
Comparison fields: 5 of 118
  • Cell Biology 372
  • Molecular Biology 1.5k
  • Biomedical Engineering 763
  • Biophysics 85
  • Developmental Neuroscience 53
Replace Raymond Cheong with:
Raymond Cheong United States
Pierre A. Neveu Germany
Okuda Satoru Japan
Hisashi Haga Japan
Benoît Sorre France
Albert J. Keung United States
Ravi A. Desai United States
Edgar Gutierrez United States
Noo Li Jeon United States
Miriam Osterfield United States
Fred Etoc relative to Raymond Cheong United States Raymond Cheong's profile →
Citations per field
00.5×2×3.1×
Raymond Cheong · 1×
Citations per year

Countries citing papers authored by Fred Etoc

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Fred Etoc Line = papers co-authored together Fred Etoc links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A method to recapitulate early embryonic spatial patterning in human embryonic stem cells
Hit paper breakdown →
2014666
2 2014255
3 2016252
4 2019134
5 2019125
6 2013124
7 2016122
8 2018122
9 201570
10 201859
11 201456
12 201545
13 202132
14 202230
15 201629
16 202128
17 202117
18 202115
19 202213
20 20142

About Fred Etoc

Fred Etoc is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Molecular Biology, Condensed Matter Physics and Physiology, having authored 22 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (8 papers), Cellular Mechanics and Interactions (5 papers), Microtubule and mitosis dynamics (4 papers), Genetic Neurodegenerative Diseases (4 papers), Photoreceptor and optogenetics research (4 papers), 3D Printing in Biomedical Research (3 papers), CRISPR and Genetic Engineering (2 papers) and Light effects on plants (2 papers). The work is most often cited by research in Cell Biology (372 citations), Molecular Biology (1.5k citations), Biomedical Engineering (763 citations), Biophysics (85 citations) and Developmental Neuroscience (53 citations). Fred Etoc has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Ali Hemmati Brivanlou, Eric D. Siggia, Aryeh Warmflash, Benoît Sorre, Jakob J. Metzger, Anna Yoney, Albert Ruzo, Mohammad Zeeshan Ozair, Maxime Ben Dahan and Mathieu Coppey. Their work appears in journals such as Biophysical Journal, eLife, Nature Cell Biology, Nature Communications and Developmental Cell.

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.

Explore authors with similar magnitude of impact