Fred Etoc

2.9k total citations · 1 hit paper
20 papers, 1.8k citations indexed

About

Fred Etoc is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Fred Etoc has authored 20 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 7 papers in Cell Biology. Recurrent topics in Fred Etoc's work include Pluripotent Stem Cells Research (7 papers), Cellular Mechanics and Interactions (5 papers) and Photoreceptor and optogenetics research (4 papers). Fred Etoc is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), Cellular Mechanics and Interactions (5 papers) and Photoreceptor and optogenetics research (4 papers). Fred Etoc collaborates with scholars based in United States, France and Germany. Fred Etoc's 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 and has published in prestigious journals such as Nature Communications, Nature Materials and The Journal of Cell Biology.

In The Last Decade

Fred Etoc

20 papers receiving 1.8k citations

Hit Papers

A method to recapitulate early embryonic spatial patterni... 2014 2026 2018 2022 2014 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fred Etoc United States 16 1.3k 616 363 205 158 20 1.8k
Aryeh Warmflash United States 22 2.1k 1.6× 659 1.1× 358 1.0× 287 1.4× 149 0.9× 45 2.8k
Benoît Sorre France 12 1.8k 1.3× 500 0.8× 808 2.2× 141 0.7× 86 0.5× 25 2.1k
Amin Rustom Germany 12 1.3k 0.9× 325 0.5× 431 1.2× 127 0.6× 281 1.8× 23 2.1k
Satoru Okuda Japan 15 1.4k 1.1× 687 1.1× 588 1.6× 133 0.6× 415 2.6× 38 2.1k
Eriko Sakakura Japan 8 1.3k 1.0× 454 0.7× 188 0.5× 131 0.6× 371 2.3× 11 1.6k
Hiroki Ishibashi Japan 11 1.2k 0.9× 435 0.7× 202 0.6× 166 0.8× 362 2.3× 34 1.8k
Jean‐Léon Maître France 19 1.0k 0.8× 548 0.9× 1.3k 3.6× 105 0.5× 145 0.9× 35 2.1k
Edgar Gutierrez United States 24 702 0.5× 572 0.9× 623 1.7× 80 0.4× 109 0.7× 40 1.9k
Mijo Simunovic United States 19 1.5k 1.1× 292 0.5× 826 2.3× 118 0.6× 77 0.5× 29 1.8k
Le A. Trinh United States 22 1.7k 1.3× 298 0.5× 539 1.5× 108 0.5× 135 0.9× 42 2.3k

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-authorship network of co-authors of Fred Etoc

This figure shows the co-authorship network connecting the top 25 collaborators of Fred Etoc. A scholar is included among the top collaborators of Fred Etoc 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 Fred Etoc. Fred Etoc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Metzger, Jakob J., Arjun Adhikari, Tomomi Haremaki, et al.. (2022). Deep-learning analysis of micropattern-based organoids enables high-throughput drug screening of Huntington’s disease models. Cell Reports Methods. 2(9). 100297–100297. 23 indexed citations
2.
Piccolo, Francesco M., Nathaniel R. Kastan, Tomomi Haremaki, et al.. (2022). Role of YAP in early ectodermal specification and a Huntington's Disease model of human neurulation. eLife. 11. 10 indexed citations
3.
Santis, Riccardo De, et al.. (2021). Self-organization of human dorsal-ventral forebrain structures by light induced SHH. Nature Communications. 12(1). 6768–6768. 25 indexed citations
4.
Ruzo, Albert, Anna Yoney, Shu Li, et al.. (2021). Huntingtin CAG expansion impairs germ layer patterning in synthetic human 2D gastruloids through polarity defects. Development. 148(19). 13 indexed citations
5.
Etoc, Fred, et al.. (2021). The ethics of human-embryoids model: a call for consistency. Journal of Molecular Medicine. 99(4). 569–579. 29 indexed citations
6.
Etoc, Fred, et al.. (2021). Differential compartmentalization of BMP4/NOGGIN requires NOGGIN trans-epithelial transport. Developmental Cell. 56(13). 1930–1944.e5. 16 indexed citations
7.
Haremaki, Tomomi, Jakob J. Metzger, Tiago Rito, et al.. (2019). Self-organizing neuruloids model developmental aspects of Huntington’s disease in the ectodermal compartment. Nature Biotechnology. 37(10). 1198–1208. 112 indexed citations
8.
Simunovic, Mijo, Jakob J. Metzger, Fred Etoc, et al.. (2019). A 3D model of a human epiblast reveals BMP4-driven symmetry breaking. Nature Cell Biology. 21(7). 900–910. 126 indexed citations
9.
Yoney, Anna, Fred Etoc, Albert Ruzo, et al.. (2018). WNT signaling memory is required for ACTIVIN to function as a morphogen in human gastruloids. eLife. 7. 55 indexed citations
10.
Etoc, Fred, Chiara Vicario, Davide Normanno, et al.. (2018). Non-specific interactions govern cytosolic diffusion of nanosized objects in mammalian cells. Nature Materials. 17(8). 740–746. 108 indexed citations
11.
Etoc, Fred, Jakob J. Metzger, Albert Ruzo, et al.. (2016). A Balance between Secreted Inhibitors and Edge Sensing Controls Gastruloid Self-Organization. Developmental Cell. 39(3). 302–315. 234 indexed citations
12.
Deglincerti, Alessia, Fred Etoc, Mohammad Zeeshan Ozair, & Ali H. Brivanlou. (2016). Self-Organization of Spatial Patterning in Human Embryonic Stem Cells. Current topics in developmental biology. 116. 99–113. 26 indexed citations
13.
Deglincerti, Alessia, Fred Etoc, Guerra Mc, et al.. (2016). Self-organization of human embryonic stem cells on micropatterns. Nature Protocols. 11(11). 2223–2232. 113 indexed citations
14.
Valon, Léo, Fred Etoc, Amanda Remorino, et al.. (2015). Predictive Spatiotemporal Manipulation of Signaling Perturbations Using Optogenetics. Biophysical Journal. 109(9). 1785–1797. 42 indexed citations
15.
Etoc, Fred, Chiara Vicario, Domenik Liße, et al.. (2015). Magnetogenetic Control of Protein Gradients Inside Living Cells with High Spatial and Temporal Resolution. Nano Letters. 15(5). 3487–3494. 67 indexed citations
16.
Warmflash, Aryeh, Benoît Sorre, Fred Etoc, Eric D. Siggia, & Ali H. Brivanlou. (2014). A method to recapitulate early embryonic spatial patterning in human embryonic stem cells. Nature Methods. 11(8). 847–854. 615 indexed citations breakdown →
17.
Valon, Léo, Amanda Remorino, Fred Etoc, et al.. (2014). Quantitative Subcellular Control of Cdc42, Rac1 and RhoA GTPases using the Cry2/CIBN Optogenetic Dimerizer. Biophysical Journal. 106(2). 244a–244a. 2 indexed citations
18.
Saadaoui, Mehdi, Mickaël Machicoane, Florencia di Pietro, et al.. (2014). Dlg1 controls planar spindle orientation in the neuroepithelium through direct interaction with LGN. The Journal of Cell Biology. 206(6). 707–717. 50 indexed citations
19.
Etoc, Fred, Mathieu Coppey, Domenik Liße, et al.. (2013). Magnetic Manipulation of Intracellular Signaling. Biophysical Journal. 104(2). 214a–214a. 1 indexed citations
20.
Etoc, Fred, et al.. (2013). Subcellular control of Rac-GTPase signalling by magnetogenetic manipulation inside living cells. Nature Nanotechnology. 8(3). 193–198. 114 indexed citations

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.

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