Yee Han Tee

744 total citations
10 papers, 485 citations indexed

About

Yee Han Tee is a scholar working on Cell Biology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Yee Han Tee has authored 10 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 4 papers in Molecular Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Yee Han Tee's work include Cellular Mechanics and Interactions (6 papers), Skin and Cellular Biology Research (2 papers) and Microtubule and mitosis dynamics (2 papers). Yee Han Tee is often cited by papers focused on Cellular Mechanics and Interactions (6 papers), Skin and Cellular Biology Research (2 papers) and Microtubule and mitosis dynamics (2 papers). Yee Han Tee collaborates with scholars based in Singapore, United States and Israel. Yee Han Tee's co-authors include Alexander D. Bershadsky, Visalatchi Thiagarajan, Tom Shemesh, Dorit Hanein, Christopher Page, Karen Anderson, Sivaraj Sivaramakrishnan, Michael M. Kozlov, Rizal F. Hariadi and Niels Volkmann and has published in prestigious journals such as Nature Communications, Nature Cell Biology and Biomaterials.

In The Last Decade

Yee Han Tee

9 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yee Han Tee Singapore 7 258 182 116 52 38 10 485
Guillermina R. Ramirez-San Juan United States 6 277 1.1× 105 0.6× 129 1.1× 59 1.1× 39 1.0× 7 438
Visalatchi Thiagarajan Israel 4 412 1.6× 219 1.2× 130 1.1× 62 1.2× 65 1.7× 4 604
Makito Miyazaki Japan 11 173 0.7× 171 0.9× 115 1.0× 121 2.3× 50 1.3× 24 458
Davide A. D. Cassani United Kingdom 5 290 1.1× 136 0.7× 124 1.1× 28 0.5× 53 1.4× 6 418
Hui Ting Ong Singapore 11 388 1.5× 191 1.0× 236 2.0× 30 0.6× 25 0.7× 25 610
Kévin Carvalho France 10 267 1.0× 203 1.1× 88 0.8× 45 0.9× 94 2.5× 10 411
Anna Erzberger Germany 11 318 1.2× 165 0.9× 168 1.4× 74 1.4× 26 0.7× 18 553
Pedro Campinho Germany 6 342 1.3× 215 1.2× 134 1.2× 35 0.7× 13 0.3× 6 515
Gaëlle Letort France 15 547 2.1× 333 1.8× 144 1.2× 71 1.4× 43 1.1× 31 787
Naotaka Nakazawa Japan 14 347 1.3× 309 1.7× 111 1.0× 24 0.5× 73 1.9× 20 612

Countries citing papers authored by Yee Han Tee

Since Specialization
Citations

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

Fields of papers citing papers by Yee Han Tee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yee Han Tee. 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 Yee Han Tee. The network helps show where Yee Han Tee may publish in the future.

Co-authorship network of co-authors of Yee Han Tee

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

All Works

10 of 10 papers shown
1.
Tee, Yee Han, et al.. (2025). Mechanisms of left–right symmetry breaking across scales. Current Opinion in Cell Biology. 95. 102564–102564.
2.
Laan, Liedewij, Géraldine Laloux, Thibaut Brunet, et al.. (2024). Perspectives on polarity – exploring biological asymmetry across scales. Journal of Cell Science. 137(5). 1 indexed citations
3.
Tee, Yee Han, Hui Ting Ong, Shidong Shi, et al.. (2023). Actin polymerisation and crosslinking drive left-right asymmetry in single cell and cell collectives. Nature Communications. 14(1). 776–776. 23 indexed citations
4.
Efremov, Artem K., Mingxi Yao, Yee Han Tee, et al.. (2022). Application of piconewton forces to individual filopodia reveals mechanosensory role of L-type Ca2+ channels. Biomaterials. 284. 121477–121477. 18 indexed citations
5.
Tee, Yee Han, et al.. (2022). English to Chinese fansub translation of humour in The Marvellous Mrs. Maisel. Texto Livre Linguagem e Tecnologia. 15. e37677–e37677. 6 indexed citations
6.
Shi, Shidong, et al.. (2019). Actin cytoskeleton self-organization in single epithelial cells and fibroblasts under isotropic confinement. Journal of Cell Science. 132(5). 38 indexed citations
7.
Lou, Yan‐Ru, Tai Chong Toh, Yee Han Tee, & Hanry Yu. (2017). 25-Hydroxyvitamin D3 induces osteogenic differentiation of human mesenchymal stem cells. Scientific Reports. 7(1). 42816–42816. 42 indexed citations
8.
Tee, Yee Han & Alexander D. Bershadsky. (2016). Actin Retrograde Flow in Permeabilized Cells: Myosin-II Driven Centripetal Movement of Transverse Arcs. BIO-PROTOCOL. 6(5). e1743–e1743. 2 indexed citations
9.
Tee, Yee Han, Tom Shemesh, Visalatchi Thiagarajan, et al.. (2015). Cellular chirality arising from the self-organization of the actin cytoskeleton. Nature Cell Biology. 17(4). 445–457. 319 indexed citations
10.
Zhang, Xin, Yee Han Tee, Yajuan Zhu, et al.. (2010). Kinectin-mediated endoplasmic reticulum dynamics supports focal adhesion growth in the cellular lamella. Journal of Cell Science. 123(22). 3901–3912. 36 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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