Feng‐Ching Tsai

2.4k total citations
30 papers, 1.6k citations indexed

About

Feng‐Ching Tsai is a scholar working on Cell Biology, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Feng‐Ching Tsai has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cell Biology, 20 papers in Molecular Biology and 9 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Feng‐Ching Tsai's work include Cellular Mechanics and Interactions (15 papers), Lipid Membrane Structure and Behavior (13 papers) and Force Microscopy Techniques and Applications (9 papers). Feng‐Ching Tsai is often cited by papers focused on Cellular Mechanics and Interactions (15 papers), Lipid Membrane Structure and Behavior (13 papers) and Force Microscopy Techniques and Applications (9 papers). Feng‐Ching Tsai collaborates with scholars based in France, United States and Netherlands. Feng‐Ching Tsai's co-authors include Gijsje H. Koenderink, Patricia Bassereau, John Manzi, Björn Stuhrmann, Aurélie Bertin, Rosângela Itri, Thaís F. Schmidt, Wolfgang Meier, Andreas Weinberger and A. Schröder and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.

In The Last Decade

Feng‐Ching Tsai

29 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng‐Ching Tsai France 20 920 578 286 167 153 30 1.6k
John Manzi France 21 1.0k 1.1× 823 1.4× 304 1.1× 170 1.0× 264 1.7× 31 1.7k
Olivier Théodoly France 25 430 0.5× 287 0.5× 606 2.1× 308 1.8× 124 0.8× 50 1.8k
Kingo Takiguchi Japan 23 961 1.0× 452 0.8× 289 1.0× 80 0.5× 204 1.3× 59 1.4k
Doris Heinrich Germany 21 383 0.4× 329 0.6× 334 1.2× 145 0.9× 118 0.8× 53 1.0k
Kevin Yehl United States 17 799 0.9× 305 0.5× 493 1.7× 169 1.0× 230 1.5× 26 1.6k
Jan Steinkühler Germany 20 980 1.1× 165 0.3× 354 1.2× 120 0.7× 159 1.0× 37 1.3k
Paul A. Beales United Kingdom 26 1.6k 1.7× 451 0.8× 318 1.1× 205 1.2× 106 0.7× 83 2.2k
Miho Yanagisawa Japan 25 1.0k 1.1× 157 0.3× 509 1.8× 285 1.7× 154 1.0× 74 1.9k
Jeanne C. Stachowiak United States 27 2.4k 2.6× 1.1k 1.9× 716 2.5× 147 0.9× 426 2.8× 87 3.3k
Marisela Vélez Spain 30 1.4k 1.6× 268 0.5× 260 0.9× 289 1.7× 245 1.6× 93 2.5k

Countries citing papers authored by Feng‐Ching Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Feng‐Ching Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Ching Tsai. 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 Feng‐Ching Tsai. The network helps show where Feng‐Ching Tsai may publish in the future.

Co-authorship network of co-authors of Feng‐Ching Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Feng‐Ching Tsai. A scholar is included among the top collaborators of Feng‐Ching Tsai 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 Feng‐Ching Tsai. Feng‐Ching Tsai 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.
2.
Tsai, Feng‐Ching, Thomas Obadia, Nishit Srivastava, et al.. (2023). Caveolin-1 protects endothelial cells from extensive expansion of transcellular tunnel by stiffening the plasma membrane. eLife. 12. 2 indexed citations
3.
Cicco, Aurélie Di, Tal Keren‐Kaplan, Sílvia Vale-Costa, et al.. (2022). PI4P and BLOC-1 remodel endosomal membranes into tubules. The Journal of Cell Biology. 221(11). 16 indexed citations
4.
Jord, Adel Al, Gaëlle Letort, Soline Chanet, et al.. (2022). Cytoplasmic forces functionally reorganize nuclear condensates in oocytes. Nature Communications. 13(1). 5070–5070. 29 indexed citations
5.
Tsai, Feng‐Ching, J. Michael Henderson, Elena Kremneva, et al.. (2022). Activated I-BAR IRSp53 clustering controls the formation of VASP-actin–based membrane protrusions. Science Advances. 8(41). eabp8677–eabp8677. 25 indexed citations
6.
Iv, François, Cyntia Taveneau, Pascale Barbier, et al.. (2021). Insights into animal septins using recombinant human septin octamers with distinct SEPT9 isoforms. Journal of Cell Science. 134(15). 24 indexed citations
7.
Tsai, Feng‐Ching, Mijo Simunovic, Benoît Sorre, et al.. (2021). Comparing physical mechanisms for membrane curvature-driven sorting of BAR-domain proteins. Soft Matter. 17(16). 4254–4265. 20 indexed citations
8.
Tsai, Feng‐Ching, et al.. (2019). Membrane curvature induces cardiolipin sorting. Communications Biology. 2(1). 225–225. 111 indexed citations
9.
Emilsson, Gustav, Bita Malekian, Kunli Xiong, et al.. (2019). Nanoplasmonic Sensor Detects Preferential Binding of IRSp53 to Negative Membrane Curvature. Frontiers in Chemistry. 7. 1–1. 282 indexed citations
10.
Charles‐Orszag, Arthur, Feng‐Ching Tsai, Daria Bonazzi, et al.. (2018). Adhesion to nanofibers drives cell membrane remodeling through one-dimensional wetting. Nature Communications. 9(1). 4450–4450. 19 indexed citations
11.
Prévost, Coline, Feng‐Ching Tsai, Patricia Bassereau, & Mijo Simunovic. (2017). Pulling Membrane Nanotubes from Giant Unilamellar Vesicles. Journal of Visualized Experiments. 28 indexed citations
12.
Mavrakis, Manos, Feng‐Ching Tsai, & Gijsje H. Koenderink. (2016). Purification of recombinant human and Drosophila septin hexamers for TIRF assays of actin–septin filament assembly. Methods in cell biology. 136. 199–220. 12 indexed citations
13.
Tsai, Feng‐Ching & Gijsje H. Koenderink. (2015). Shape control of lipid bilayer membranes by confined actin bundles. Soft Matter. 11(45). 8834–8847. 61 indexed citations
14.
Vavylonis, Dimitrios, Feng‐Ching Tsai, Gijsje H. Koenderink, et al.. (2015). SOAX: A software for quantification of 3D biopolymer networks. Scientific Reports. 5(1). 9081–9081. 71 indexed citations
15.
Mavrakis, Manos, Feng‐Ching Tsai, José Alvarado, et al.. (2014). Septins promote F-actin ring formation by crosslinking actin filaments into curved bundles. Nature Cell Biology. 16(4). 322–334. 176 indexed citations
16.
Carvalho, Kévin, et al.. (2013). Cell-sized liposomes reveal how actomyosin cortical tension drives shape change. Proceedings of the National Academy of Sciences. 110(41). 16456–16461. 93 indexed citations
17.
Weinberger, Andreas, Feng‐Ching Tsai, Gijsje H. Koenderink, et al.. (2013). Gel-Assisted Formation of Giant Unilamellar Vesicles. Biophysical Journal. 105(1). 154–164. 285 indexed citations
18.
Tsai, Feng‐Ching, et al.. (2009). Three-Dimensional Characterization of Active Membrane Waves on Living Cells. Physical Review Letters. 103(23). 238101–238101. 36 indexed citations
19.
Tsai, Feng‐Ching & Hsuan‐Yi Chen. (2008). Adsorption-induced vesicle fission. Physical Review E. 78(5). 51906–51906. 2 indexed citations
20.
Tsai, Feng‐Ching, Yun‐Fang Tsai, Chih‐Cheng Chien, & Chia‐Chin Lin. (2007). Emergency nurses’ knowledge of perceived barriers in pain management in Taiwan. Journal of Clinical Nursing. 16(11). 2088–2095. 31 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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