Ching‐Ting Tsai

669 total citations · 1 hit paper
22 papers, 447 citations indexed

About

Ching‐Ting Tsai is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Ching‐Ting Tsai has authored 22 papers receiving a total of 447 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cell Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Molecular Biology. Recurrent topics in Ching‐Ting Tsai's work include Neuroscience and Neural Engineering (8 papers), Cellular Mechanics and Interactions (6 papers) and Force Microscopy Techniques and Applications (5 papers). Ching‐Ting Tsai is often cited by papers focused on Neuroscience and Neural Engineering (8 papers), Cellular Mechanics and Interactions (6 papers) and Force Microscopy Techniques and Applications (5 papers). Ching‐Ting Tsai collaborates with scholars based in United States, Italy and Germany. Ching‐Ting Tsai's co-authors include Bianxiao Cui, Zeinab Jahed, Thomas L. Li, Xiao Li, Wei Zhang, Csaba Forró, Lasse Hyldgaard Klausen, Yang Yang, Shang‐Cheng Hung and Medel Manuel L. Zulueta and has published in prestigious journals such as Nature Communications, Nano Letters and ACS Nano.

In The Last Decade

Ching‐Ting Tsai

21 papers receiving 436 citations

Hit Papers

Kirigami electronics for long-term electrophysiological r... 2024 2026 2025 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching‐Ting Tsai United States 12 164 126 119 113 53 22 447
Jung-uk Lee South Korea 7 287 1.8× 70 0.6× 95 0.8× 222 2.0× 34 0.6× 7 533
Paolo Faraci Italy 11 308 1.9× 114 0.9× 154 1.3× 155 1.4× 130 2.5× 13 692
Xi Wei China 16 229 1.4× 155 1.2× 23 0.2× 132 1.2× 29 0.5× 40 632
Liting Duan Hong Kong 14 307 1.9× 177 1.4× 361 3.0× 361 3.2× 97 1.8× 43 926
Ivan B. Dimov United Kingdom 10 160 1.0× 88 0.7× 76 0.6× 81 0.7× 103 1.9× 16 442
Che‐Hang Yu Taiwan 16 208 1.3× 202 1.6× 45 0.4× 196 1.7× 33 0.6× 28 646
Rose T. Yin United States 12 408 2.5× 86 0.7× 254 2.1× 217 1.9× 137 2.6× 22 773
Yukun Hao United States 7 238 1.5× 254 2.0× 19 0.2× 79 0.7× 40 0.8× 14 528
Matthew Akamatsu United States 11 173 1.1× 392 3.1× 120 1.0× 353 3.1× 16 0.3× 16 711
Laura Matino Italy 10 221 1.3× 38 0.3× 214 1.8× 79 0.7× 121 2.3× 13 395

Countries citing papers authored by Ching‐Ting Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Ting Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Ting Tsai. A scholar is included among the top collaborators of Ching‐Ting 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 Ching‐Ting Tsai. Ching‐Ting 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.
Yang, Xiao, Ching‐Ting Tsai, Yang Yang, et al.. (2025). Nano-bio interfaces for electrical and biochemical signal transduction. Nature Reviews Bioengineering. 4(3). 250–268. 1 indexed citations
2.
Zhou, Yuecheng, Erica Liu, Anna M. Österholm, et al.. (2025). Ultrasensitive label-free optical recording of bioelectric potentials using dioxythiophene-based electrochromic polymers. Nature Communications. 16(1). 6776–6776. 1 indexed citations
3.
Yang, Yang, Ching‐Ting Tsai, Aayush Gupta, et al.. (2025). Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings. Nature Communications. 16(1). 657–657. 4 indexed citations
4.
Tsai, Ching‐Ting, et al.. (2024). Nanoscale in silico and in vitro modeling of lipid bilayers for curvature induction and sensing. 1(1). 2 indexed citations
5.
Sarikhani, Einollah, Ching‐Ting Tsai, Xiao Li, et al.. (2024). Engineering the Cellular Microenvironment: Integrating Three-Dimensional Nontopographical and Two-Dimensional Biochemical Cues for Precise Control of Cellular Behavior. ACS Nano. 18(29). 19064–19076. 5 indexed citations
6.
Chen, Tianchi, Ching‐Ting Tsai, Benjamin Klapholz, et al.. (2024). Actin-driven nanotopography promotes stable integrin adhesion formation in developing tissue. Nature Communications. 15(1). 8691–8691. 2 indexed citations
7.
Yang, Yang, Ching‐Ting Tsai, Chun Liu, et al.. (2024). Plasma membrane curvature regulates the formation of contacts with the endoplasmic reticulum. Nature Cell Biology. 26(11). 1878–1891. 14 indexed citations
8.
Yang, Xiao, Csaba Forró, Thomas L. Li, et al.. (2024). Kirigami electronics for long-term electrophysiological recording of human neural organoids and assembloids. Nature Biotechnology. 42(12). 1836–1843. 75 indexed citations breakdown →
9.
Zhang, Wei, Ching‐Ting Tsai, Anish R. Roy, et al.. (2023). Curved adhesions mediate cell attachment to soft matrix fibres in three dimensions. Nature Cell Biology. 25(10). 1453–1464. 38 indexed citations
10.
Tsai, Ching‐Ting, et al.. (2023). A NanoCurvS platform for quantitative and multiplex analysis of curvature-sensing proteins. Biomaterials Science. 11(15). 5205–5217. 5 indexed citations
11.
Jahed, Zeinab, Yang Yang, Ching‐Ting Tsai, et al.. (2022). Nanocrown electrodes for parallel and robust intracellular recording of cardiomyocytes. Nature Communications. 13(1). 2253–2253. 51 indexed citations
12.
Song, Jung‐Hwan, Qitong Li, Ching‐Ting Tsai, et al.. (2022). Quantitative phase contrast imaging with a nonlocal angle-selective metasurface. Nature Communications. 13(1). 7848–7848. 56 indexed citations
13.
Pedram, Kayvon, et al.. (2022). Membrane curvature regulates the spatial distribution of bulky glycoproteins. Nature Communications. 13(1). 3093–3093. 35 indexed citations
14.
Yang, Yang, Aofei Liu, Ching‐Ting Tsai, et al.. (2022). Cardiotoxicity drug screening based on whole-panel intracellular recording. Biosensors and Bioelectronics. 216. 114617–114617. 13 indexed citations
15.
Forró, Csaba, et al.. (2022). Expansion Microscopy for Imaging the Cell–Material Interface. ACS Nano. 16(5). 7559–7571. 15 indexed citations
16.
Roy, Anish R., et al.. (2021). Exploring Cell Surface–Nanopillar Interactions with 3D Super-Resolution Microscopy. ACS Nano. 16(1). 192–210. 13 indexed citations
17.
Li, Xiao, Lasse Hyldgaard Klausen, Wei Zhang, et al.. (2021). Nanoscale Surface Topography Reduces Focal Adhesions and Cell Stiffness by Enhancing Integrin Endocytosis. Nano Letters. 21(19). 8518–8526. 69 indexed citations
18.
Tsai, Ching‐Ting. (2020). Quantitative Nano-Platforms for Interrogation of Curvature Sensitive Proteins. Biophysical Journal. 118(3). 249a–250a. 1 indexed citations
19.
Tsai, Ching‐Ting, Medel Manuel L. Zulueta, & Shang‐Cheng Hung. (2017). Synthetic heparin and heparan sulfate: probes in defining biological functions. Current Opinion in Chemical Biology. 40. 152–159. 29 indexed citations
20.
Marks, Michael P., et al.. (1996). In vitro evaluation of coils for endovascular therapy.. American Journal of Neuroradiology. 17(1). 29–34. 16 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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