Yuchuan Miao

1.1k total citations
24 papers, 630 citations indexed

About

Yuchuan Miao is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yuchuan Miao has authored 24 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 12 papers in Cell Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yuchuan Miao's work include Cellular Mechanics and Interactions (11 papers), Pluripotent Stem Cells Research (5 papers) and Microtubule and mitosis dynamics (5 papers). Yuchuan Miao is often cited by papers focused on Cellular Mechanics and Interactions (11 papers), Pluripotent Stem Cells Research (5 papers) and Microtubule and mitosis dynamics (5 papers). Yuchuan Miao collaborates with scholars based in United States, China and United Kingdom. Yuchuan Miao's co-authors include Peter N. Devreotes, Pablo A. Iglesias, Sayak Bhattacharya, Marc Edwards, Tatsat Banerjee, Dhiman Sankar Pal, Takanari Inoue, Thomas J. Lampert, Olivier Pourquié and Huaqing Cai and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Yuchuan Miao

21 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuchuan Miao United States 13 336 310 116 82 69 24 630
Adriana T. Dawes United States 10 318 0.9× 211 0.7× 110 0.9× 27 0.3× 61 0.9× 31 514
Loïc LeGoff France 12 490 1.5× 291 0.9× 204 1.8× 68 0.8× 76 1.1× 22 866
Philipp Khuc Trong United Kingdom 7 217 0.6× 239 0.8× 66 0.6× 88 1.1× 23 0.3× 7 505
Natalie Andrew United States 9 313 0.9× 194 0.6× 180 1.6× 44 0.5× 43 0.6× 10 619
Raphaël Etournay France 10 472 1.4× 258 0.8× 175 1.5× 75 0.9× 81 1.2× 14 691
Douglas B. Staple Canada 7 599 1.8× 344 1.1× 215 1.9× 58 0.7× 53 0.8× 11 839
Aynur Kaya-Çopur Germany 7 574 1.7× 416 1.3× 121 1.0× 115 1.4× 33 0.5× 7 806
Sven Vogel Germany 16 423 1.3× 444 1.4× 173 1.5× 63 0.8× 104 1.5× 28 851
Shiqiong Hu United States 11 425 1.3× 287 0.9× 132 1.1× 21 0.3× 69 1.0× 14 661
Konstantin Doubrovinski United States 10 363 1.1× 171 0.6× 147 1.3× 27 0.3× 48 0.7× 17 504

Countries citing papers authored by Yuchuan Miao

Since Specialization
Citations

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

Fields of papers citing papers by Yuchuan Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuchuan Miao. 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 Yuchuan Miao. The network helps show where Yuchuan Miao may publish in the future.

Co-authorship network of co-authors of Yuchuan Miao

This figure shows the co-authorship network connecting the top 25 collaborators of Yuchuan Miao. A scholar is included among the top collaborators of Yuchuan Miao 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 Yuchuan Miao. Yuchuan Miao 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.
Miao, Yuchuan, et al.. (2025). Embryology 2024: a summer like no other. Development. 152(11). 1 indexed citations
2.
Banerjee, Tatsat, Satomi Matsuoka, Debojyoti Biswas, et al.. (2024). A dynamic partitioning mechanism spatiotemporally polarizes membrane protein distributions during amoeboid migration and cortical patterning. Biophysical Journal. 123(3). 484a–484a. 1 indexed citations
3.
Liu, Yue, Xufeng Xue, Yuchuan Miao, et al.. (2024). A human pluripotent stem cell-based somitogenesis model using microfluidics. Cell stem cell. 31(8). 1113–1126.e6. 11 indexed citations
4.
Miao, Yuchuan & Olivier Pourquié. (2024). Cellular and molecular control of vertebrate somitogenesis. Nature Reviews Molecular Cell Biology. 25(7). 517–533. 18 indexed citations
5.
Miao, Yuchuan, Margarete Díaz-Cuadros, & Olivier Pourquié. (2023). Modeling Human Paraxial Mesoderm Development with Pluripotent Stem Cells. Methods in molecular biology. 2767. 115–122.
6.
Miao, Yuchuan, Matt J. Hourwitz, Quan Qing, et al.. (2023). Nanotopography modulates intracellular excitable systems through cytoskeleton actuation. Proceedings of the National Academy of Sciences. 120(19). e2218906120–e2218906120. 13 indexed citations
7.
Banerjee, Tatsat, Satomi Matsuoka, Debojyoti Biswas, et al.. (2023). A dynamic partitioning mechanism polarizes membrane protein distribution. Nature Communications. 14(1). 7909–7909. 12 indexed citations
8.
Miao, Yuchuan & Olivier Pourquié. (2023). Modeling human trunk development. Nature Biotechnology. 42(8). 1185–1186. 1 indexed citations
9.
Banerjee, Tatsat, Debojyoti Biswas, Dhiman Sankar Pal, et al.. (2022). Spatiotemporal dynamics of membrane surface charge regulates cell polarity and migration. Nature Cell Biology. 24(10). 1499–1515. 51 indexed citations
10.
Miao, Yuchuan, Matt J. Hourwitz, Bedri Abubaker‐Sharif, et al.. (2022). Cortical waves mediate the cellular response to electric fields. eLife. 11. 11 indexed citations
11.
Miao, Yuchuan, Alessandro De Simone, Kongju Zhu, et al.. (2022). Reconstruction and deconstruction of human somitogenesis in vitro. Nature. 614(7948). 500–508. 71 indexed citations
12.
13.
Ghabache, Élisabeth, Yuansheng Cao, Yuchuan Miao, et al.. (2021). Coupling traction force patterns and actomyosin wave dynamics reveals mechanics of cell motion. Molecular Systems Biology. 17(12). e10505–e10505. 14 indexed citations
14.
Bhattacharya, Sayak, Tatsat Banerjee, Yuchuan Miao, et al.. (2020). Traveling and standing waves mediate pattern formation in cellular protrusions. Science Advances. 6(32). eaay7682–eaay7682. 23 indexed citations
15.
Miao, Yuchuan, Sayak Bhattacharya, Tatsat Banerjee, et al.. (2019). Wave patterns organize cellular protrusions and control cortical dynamics. Molecular Systems Biology. 15(3). e8585–e8585. 62 indexed citations
16.
Li, Xiaoguang, Yuchuan Miao, Dhiman Sankar Pal, & Peter N. Devreotes. (2019). Excitable networks controlling cell migration during development and disease. Seminars in Cell and Developmental Biology. 100. 133–142. 31 indexed citations
17.
Bhattacharya, Sayak, Yuchuan Miao, Peter N. Devreotes, & Pablo A. Iglesias. (2019). A Coupled Excitable Network Model Dictates Cortical Wave Patterns and Controls Cellular Protrusion Morphology. Biophysical Journal. 116(3). 121a–121a. 3 indexed citations
18.
Pal, Dhiman Sankar, Xiaoguang Li, Tatsat Banerjee, Yuchuan Miao, & Peter N. Devreotes. (2019). The excitable signal transduction networks: movers and shapers of eukaryotic cell migration. The International Journal of Developmental Biology. 63(8-9-10). 407–416. 34 indexed citations
19.
Miao, Yuchuan, Sayak Bhattacharya, Marc Edwards, et al.. (2017). Altering the threshold of an excitable signal transduction network changes cell migratory modes. Nature Cell Biology. 19(4). 329–340. 106 indexed citations
20.
Miao, Yuchuan, et al.. (2012). [Postmortem pathological changes of actin in skeletal muscles of rats].. PubMed. 43(5). 694–6. 1 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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