Kevin J. Chalut

4.1k total citations · 2 hit papers
63 papers, 2.8k citations indexed

About

Kevin J. Chalut is a scholar working on Biomedical Engineering, Molecular Biology and Cell Biology. According to data from OpenAlex, Kevin J. Chalut has authored 63 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Biomedical Engineering, 21 papers in Molecular Biology and 21 papers in Cell Biology. Recurrent topics in Kevin J. Chalut's work include Cellular Mechanics and Interactions (20 papers), 3D Printing in Biomedical Research (14 papers) and Pluripotent Stem Cells Research (14 papers). Kevin J. Chalut is often cited by papers focused on Cellular Mechanics and Interactions (20 papers), 3D Printing in Biomedical Research (14 papers) and Pluripotent Stem Cells Research (14 papers). Kevin J. Chalut collaborates with scholars based in United Kingdom, United States and Germany. Kevin J. Chalut's co-authors include Adam Wax, Ewa K. Paluch, Robin J.M. Franklin, Jochen Guck, Michael Segel, Henry De Belly, Andrew Ekpenyong, Björn Neumann, Michael G. Giacomelli and Kristian Franze and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Kevin J. Chalut

63 papers receiving 2.8k citations

Hit Papers

Niche stiffness underlies... 2019 2026 2021 2023 2019 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin J. Chalut United Kingdom 29 1.0k 936 898 375 315 63 2.8k
Emad Moeendarbary United Kingdom 31 1.4k 1.4× 2.3k 2.5× 1.3k 1.5× 493 1.3× 82 0.3× 73 4.5k
Yi Wu United States 34 2.3k 2.3× 1.7k 1.8× 715 0.8× 151 0.4× 76 0.2× 81 5.7k
Stephanie L. Gupton United States 30 1.6k 1.6× 2.5k 2.7× 572 0.6× 252 0.7× 330 1.0× 52 4.0k
Jean Livet France 25 2.1k 2.1× 682 0.7× 324 0.4× 102 0.3× 681 2.2× 43 4.1k
Hans‐Hermann Gerdes Germany 30 3.4k 3.4× 1.6k 1.7× 625 0.7× 121 0.3× 109 0.3× 53 5.2k
Shankar Srinivas United Kingdom 29 4.1k 4.1× 685 0.7× 430 0.5× 112 0.3× 432 1.4× 57 6.1k
Daniel Côté Canada 33 1.2k 1.2× 234 0.3× 1.1k 1.2× 413 1.1× 120 0.4× 79 5.7k
Nobuhiro Morone Japan 31 2.6k 2.6× 1.3k 1.4× 543 0.6× 185 0.5× 135 0.4× 60 4.1k
Hayden Huang United States 26 770 0.8× 712 0.8× 588 0.7× 213 0.6× 51 0.2× 47 2.9k
François Aguet United States 30 3.1k 3.1× 862 0.9× 317 0.4× 155 0.4× 53 0.2× 70 5.2k

Countries citing papers authored by Kevin J. Chalut

Since Specialization
Citations

This map shows the geographic impact of Kevin J. Chalut'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 Kevin J. Chalut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin J. Chalut more than expected).

Fields of papers citing papers by Kevin J. Chalut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin J. Chalut. 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 Kevin J. Chalut. The network helps show where Kevin J. Chalut may publish in the future.

Co-authorship network of co-authors of Kevin J. Chalut

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin J. Chalut. A scholar is included among the top collaborators of Kevin J. Chalut 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 Kevin J. Chalut. Kevin J. Chalut 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.
Miroshnikova, Yekaterina A., et al.. (2023). Cell state transitions: catch them if you can. Development. 150(6). 3 indexed citations
2.
Kohler, Timo N., Joachim De Jonghe, Ayaka Yanagida, et al.. (2023). Plakoglobin is a mechanoresponsive regulator of naive pluripotency. Nature Communications. 14(1). 4022–4022. 8 indexed citations
3.
Yanagida, Ayaka, Giuliano Giuseppe Stirparo, Irene M. Aspalter, et al.. (2022). Cell surface fluctuations regulate early embryonic lineage sorting. Cell. 185(5). 777–793.e20. 58 indexed citations
4.
Labouesse, Céline, Chibeza C. Agley, Moritz Hofer, et al.. (2021). StemBond hydrogels control the mechanical microenvironment for pluripotent stem cells. Nature Communications. 12(1). 6132–6132. 35 indexed citations
5.
Belly, Henry De, Aki Stubb, Ayaka Yanagida, et al.. (2020). Membrane Tension Gates ERK-Mediated Regulation of Pluripotent Cell Fate. Cell stem cell. 28(2). 273–284.e6. 111 indexed citations
6.
Labouesse, Céline, et al.. (2020). Nuclear mechanotransduction in stem cells. Current Opinion in Cell Biology. 64. 97–104. 25 indexed citations
7.
Segel, Michael, Björn Neumann, Myfanwy F. E. Hill, et al.. (2019). Niche stiffness underlies the ageing of central nervous system progenitor cells. Nature. 573(7772). 130–134. 342 indexed citations breakdown →
8.
Neumann, Björn, Roey Baror, Chao Zhao, et al.. (2019). Metformin Restores CNS Remyelination Capacity by Rejuvenating Aged Stem Cells. Cell stem cell. 25(4). 473–485.e8. 294 indexed citations
9.
Chalut, Kevin J. & Ewa K. Paluch. (2016). The Actin Cortex: A Bridge between Cell Shape and Function. Developmental Cell. 38(6). 571–573. 91 indexed citations
10.
Chan, Chii Jou, Andrew Ekpenyong, Stefan Golfier, et al.. (2015). Myosin II Activity Softens Cells in Suspension. Biophysical Journal. 108(8). 1856–1869. 86 indexed citations
11.
Kabla, Alexandre & Kevin J. Chalut. (2014). La réponse inhabituelle des noyaux de cellules souches embryonnaires aux forces mécaniques. médecine/sciences. 30(12). 1061–1063. 1 indexed citations
12.
Ekpenyong, Andrew, Graeme Whyte, Kevin J. Chalut, et al.. (2012). Viscoelastic Properties of Differentiating Blood Cells Are Fate- and Function-Dependent. PLoS ONE. 7(9). e45237–e45237. 148 indexed citations
13.
Ekpenyong, Andrew, Si Ming Man, Sarra Achouri, et al.. (2012). Bacterial infection of macrophages induces decrease in refractive index. Journal of Biophotonics. 6(5). 393–397. 49 indexed citations
14.
Chalut, Kevin J., et al.. (2011). Near- and far-field scattering from arbitrary three-dimensional aggregates of coated spheres using parallel computing. Physical Review E. 83(2). 26701–26701. 21 indexed citations
15.
Wax, Adam & Kevin J. Chalut. (2011). Nuclear morphology measurements with angle-resolved low coherence interferometry for application to cell biology and early cancer detection.. SHILAP Revista de lepidopterología. 34(5). 207–22. 12 indexed citations
16.
Chalut, Kevin J., et al.. (2011). Exact analytical expansion of an off-axis Gaussian laser beam using the translation theorems for the vector spherical harmonics. Applied Optics. 50(7). 1023–1023. 9 indexed citations
17.
Kreysing, Moritz, et al.. (2010). Physical insight into light scattering by photoreceptor cell nuclei. Optics Letters. 35(15). 2639–2639. 29 indexed citations
18.
Chalut, Kevin J., et al.. (2009). Interaction of Gaussian beam with near-spherical particle: an analytic-numerical approach for assessing scattering and stresses. Journal of the Optical Society of America A. 26(8). 1815–1815. 3 indexed citations
19.
Finan, John D., Kevin J. Chalut, Adam Wax, & Farshid Guilak. (2009). Nonlinear Osmotic Properties of the Cell Nucleus. 93–94. 2 indexed citations
20.
Pyhtila, John W., Kevin J. Chalut, Thomas A. D’Amico, et al.. (2007). In situ detection of nuclear atypia in Barrett's esophagus by using angle-resolved low-coherence interferometry. Gastrointestinal Endoscopy. 65(3). 487–491. 30 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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