Michael F. Staddon

1.0k total citations
22 papers, 577 citations indexed

About

Michael F. Staddon is a scholar working on Cell Biology, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Michael F. Staddon has authored 22 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cell Biology, 12 papers in Biomedical Engineering and 3 papers in Molecular Biology. Recurrent topics in Michael F. Staddon's work include Cellular Mechanics and Interactions (19 papers), 3D Printing in Biomedical Research (10 papers) and Microtubule and mitosis dynamics (8 papers). Michael F. Staddon is often cited by papers focused on Cellular Mechanics and Interactions (19 papers), 3D Printing in Biomedical Research (10 papers) and Microtubule and mitosis dynamics (8 papers). Michael F. Staddon collaborates with scholars based in United States, Germany and United Kingdom. Michael F. Staddon's co-authors include Shiladitya Banerjee, Margaret L. Gardel, Edwin Munro, Kate E. Cavanaugh, Davide Heller, Yanlan Mao, Robert J. Tetley, Andreas Hoppe, Michael P. Murrell and Visar Ajeti and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Current Biology.

In The Last Decade

Michael F. Staddon

22 papers receiving 575 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael F. Staddon United States 13 438 243 116 58 54 22 577
Tianchi Chen France 8 473 1.1× 295 1.2× 115 1.0× 61 1.1× 60 1.1× 10 577
Hui Ting Ong Singapore 11 388 0.9× 236 1.0× 191 1.6× 30 0.5× 24 0.4× 25 610
Jim H. Veldhuis Canada 15 746 1.7× 435 1.8× 238 2.1× 68 1.2× 42 0.8× 25 968
Grégoire Peyret France 9 430 1.0× 198 0.8× 180 1.6× 57 1.0× 30 0.6× 9 550
Man Chun Leong Singapore 7 500 1.1× 435 1.8× 116 1.0× 131 2.3× 16 0.3× 9 722
Jonathan Fouchard France 13 678 1.5× 433 1.8× 126 1.1× 62 1.1× 16 0.3× 19 866
M. Poujade France 5 693 1.6× 545 2.2× 164 1.4× 209 3.6× 54 1.0× 9 951
Tom Wyatt United Kingdom 8 433 1.0× 222 0.9× 126 1.1× 45 0.8× 9 0.2× 11 555
Shijie He China 13 307 0.7× 214 0.9× 59 0.5× 32 0.6× 16 0.3× 29 464
Nargess Khalilgharibi United Kingdom 8 405 0.9× 234 1.0× 84 0.7× 44 0.8× 7 0.1× 10 532

Countries citing papers authored by Michael F. Staddon

Since Specialization
Citations

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

Fields of papers citing papers by Michael F. Staddon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael F. Staddon. 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 Michael F. Staddon. The network helps show where Michael F. Staddon may publish in the future.

Co-authorship network of co-authors of Michael F. Staddon

This figure shows the co-authorship network connecting the top 25 collaborators of Michael F. Staddon. A scholar is included among the top collaborators of Michael F. Staddon 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 Michael F. Staddon. Michael F. Staddon 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.
Staddon, Michael F., et al.. (2026). A mechanical ratchet drives unilateral cytokinesis. Nature. 650(8102). 759–767. 1 indexed citations
2.
Staddon, Michael F. & Carl D. Modes. (2025). Curved-edge vertex models and increased tissue fluidity. Physical Review Research. 7(1). 1 indexed citations
3.
Tan, Tzer Han, Irene Seijo-Barandiarán, Michael F. Staddon, et al.. (2024). Emergent chirality in active solid rotation of pancreas spheres. 2(3). 5 indexed citations
4.
Werner, Michael E., Dylan D. Ray, Michael F. Staddon, et al.. (2024). Mechanical and biochemical feedback combine to generate complex contractile oscillations in cytokinesis. Current Biology. 34(14). 3201–3214.e5. 3 indexed citations
5.
Mukenhirn, Markus, Michael F. Staddon, Riccardo Maraspini, et al.. (2024). Tight junctions control lumen morphology via hydrostatic pressure and junctional tension. Developmental Cell. 59(21). 2866–2881.e8. 10 indexed citations
6.
Staddon, Michael F., et al.. (2023). Finite elasticity of the vertex model and its role in rigidity of curved cellular tissues. Soft Matter. 19(40). 7744–7752. 3 indexed citations
7.
Staddon, Michael F., et al.. (2023). The role of non-affine deformations in the elastic behavior of the cellular vertex model. Soft Matter. 19(17). 3080–3091. 15 indexed citations
8.
Staddon, Michael F., et al.. (2022). Anomalous elasticity of a cellular tissue vertex model. Physical review. E. 105(6). 64611–64611. 15 indexed citations
9.
Yousafzai, Muhammad Sulaiman, et al.. (2022). Cell-Matrix Elastocapillary Interactions Drive Pressure-Based Wetting of Cell Aggregates. Physical Review X. 12(3). 16 indexed citations
10.
Staddon, Michael F., Edwin Munro, & Shiladitya Banerjee. (2022). Pulsatile contractions and pattern formation in excitable actomyosin cortex. PLoS Computational Biology. 18(3). e1009981–e1009981. 20 indexed citations
11.
Cavanaugh, Kate E., Michael F. Staddon, Robert M. Harmon, et al.. (2022). Force-dependent intercellular adhesion strengthening underlies asymmetric adherens junction contraction. Current Biology. 32(9). 1986–2000.e5. 19 indexed citations
12.
Staddon, Michael F., et al.. (2021). Hindbrain neuropore tissue geometry determines asymmetric cell-mediated closure dynamics in mouse embryos. Proceedings of the National Academy of Sciences. 118(19). 19 indexed citations
13.
Walther, Rhian F., et al.. (2020). Cell-type-specific mechanical response and myosin dynamics during retinal lens development in Drosophila. Molecular Biology of the Cell. 31(13). 1355–1369. 18 indexed citations
14.
Cavanaugh, Kate E., Michael F. Staddon, Shiladitya Banerjee, & Margaret L. Gardel. (2020). Adaptive viscoelasticity of epithelial cell junctions: from models to methods. Current Opinion in Genetics & Development. 63. 86–94. 9 indexed citations
15.
Staddon, Michael F., Kate E. Cavanaugh, Edwin Munro, Margaret L. Gardel, & Shiladitya Banerjee. (2019). Mechanosensitive Junction Remodeling Promotes Robust Epithelial Morphogenesis. Biophysical Journal. 117(9). 1739–1750. 55 indexed citations
16.
Cavanaugh, Kate E., Michael F. Staddon, Edwin Munro, Shiladitya Banerjee, & Margaret L. Gardel. (2019). RhoA Mediates Epithelial Cell Shape Changes via Mechanosensitive Endocytosis. Developmental Cell. 52(2). 152–166.e5. 78 indexed citations
17.
Tetley, Robert J., Michael F. Staddon, Davide Heller, et al.. (2019). Tissue fluidity promotes epithelial wound healing. Nature Physics. 15(11). 1195–1203. 145 indexed citations
18.
Ajeti, Visar, A. Pasha Tabatabai, Michael F. Staddon, et al.. (2019). Wound healing coordinates actin architectures to regulate mechanical work. Nature Physics. 15(7). 696–705. 65 indexed citations
19.
Staddon, Michael F., et al.. (2018). Force localization modes in dynamic epithelial colonies. Molecular Biology of the Cell. 29(23). 2835–2847. 26 indexed citations
20.
Staddon, Michael F., Dapeng Bi, A. Pasha Tabatabai, et al.. (2018). Cooperation of dual modes of cell motility promotes epithelial stress relaxation to accelerate wound healing. PLoS Computational Biology. 14(10). e1006502–e1006502. 43 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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