Tsai‐Jung Wu

677 total citations
10 papers, 493 citations indexed

About

Tsai‐Jung Wu is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tsai‐Jung Wu has authored 10 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tsai‐Jung Wu's work include Pluripotent Stem Cells Research (2 papers), Congenital Diaphragmatic Hernia Studies (2 papers) and Neonatal Respiratory Health Research (2 papers). Tsai‐Jung Wu is often cited by papers focused on Pluripotent Stem Cells Research (2 papers), Congenital Diaphragmatic Hernia Studies (2 papers) and Neonatal Respiratory Health Research (2 papers). Tsai‐Jung Wu collaborates with scholars based in Taiwan, India and Croatia. Tsai‐Jung Wu's co-authors include John Yu, Wei-Wei Chang, Chi‐An Cheng, Chin-Hsiang Chien, Yan‐Kai Tzeng, Huan‐Cheng Chang, Yung Kuo, Thai‐Yen Ling, Yen‐Hua Huang and Alice L. Yu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Nanotechnology and The FASEB Journal.

In The Last Decade

Tsai‐Jung Wu

9 papers receiving 482 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tsai‐Jung Wu Taiwan	8	163	136	102	66	56	10	493
David J. Swanlund United States	13	149 0.9×	38 0.3×	210 2.1×	52 0.8×	74 1.3×	21	631
Baoguo Chen China	15	86 0.5×	47 0.3×	36 0.4×	88 1.3×	36 0.6×	70	703
Shun Shibata Japan	13	211 1.3×	37 0.3×	42 0.4×	28 0.4×	28 0.5×	29	486
Wang Chun China	12	199 1.2×	25 0.2×	63 0.6×	156 2.4×	39 0.7×	40	656
Vladimir Popov Russia	11	154 0.9×	42 0.3×	201 2.0×	41 0.6×	21 0.4×	40	640
Austin N. Kirschner United States	15	152 0.9×	122 0.9×	44 0.4×	90 1.4×	133 2.4×	55	947
Chieko Azuma United States	13	84 0.5×	27 0.2×	182 1.8×	53 0.8×	121 2.2×	17	560
Vita Pašukonienė Lithuania	15	144 0.9×	38 0.3×	62 0.6×	49 0.7×	39 0.7×	36	845
Oleg Alekseev United States	16	475 2.9×	32 0.2×	49 0.5×	32 0.5×	28 0.5×	32	1.0k
Hiroshi Iwabuchi Japan	15	169 1.0×	85 0.6×	45 0.4×	77 1.2×	68 1.2×	74	721

Countries citing papers authored by Tsai‐Jung Wu

Since Specialization

Citations

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

Fields of papers citing papers by Tsai‐Jung Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsai‐Jung Wu

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

All Works

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10 of 10 papers shown

Wang, Lu‐Kai, Tsai‐Jung Wu, & Fu‐Ming Tsai. (2025). Applications and Complementarity of Organ‐Chips and Animal Models in Lung Cancer Driver Gene Research. Cell Biology International. 50(1). e70108–e70108.

Wu, Tsai‐Jung, et al.. (2022). Loss of core-fucosylation of SPARC impairs collagen binding and contributes to COPD. Cellular and Molecular Life Sciences. 79(7). 348–348. 10 indexed citations

Wang, Lu‐Kai, Tsai‐Jung Wu, Ji‐Hong Hong, et al.. (2020). Radiation Induces Pulmonary Fibrosis by Promoting the Fibrogenic Differentiation of Alveolar Stem Cells. Stem Cells International. 2020. 1–12. 13 indexed citations

Wang, Sheng‐Hung, Tsai‐Jung Wu, Chien‐Wei Lee, & John Yu. (2020). Dissecting the conformation of glycans and their interactions with proteins. Journal of Biomedical Science. 27(1). 93–93. 15 indexed citations

Lin, Chih‐Ping, et al.. (2019). Dielectric Spectroscopy Using Dual Reflection Analysis of TDR Signals. Sensors. 19(6). 1299–1299. 4 indexed citations

Wang, Yahui, Wei-Wei Chang, Tsai‐Jung Wu, et al.. (2018). Leucine-Rich Repeat Neuronal Protein 1 Regulates Differentiation of Embryonic Stem Cells by Post-Translational Modifications of Pluripotency Factors. Stem Cells. 36(10). 1514–1524. 15 indexed citations

Wu, Tsai‐Jung, Yan‐Kai Tzeng, Wei-Wei Chang, et al.. (2013). Tracking the engraftment and regenerative capabilities of transplanted lung stem cells using fluorescent nanodiamonds. Nature Nanotechnology. 8(9). 682–689. 196 indexed citations

Huang, Yen‐Hua, Hong‐Nerng Ho, Chia‐Ning Shen, et al.. (2009). Pluripotency of mouse spermatogonial stem cells maintained by IGF‐1‐dependent pathway. The FASEB Journal. 23(7). 2076–2087. 107 indexed citations

Wu, Tsai‐Jung, et al.. (2009). Prevalence and Risk Factors of Canine Ticks and Tick-Borne Diseases in Taipei, Taiwan. 14 indexed citations

10.

Ling, Thai‐Yen, Ming‐Der Kuo, Alice L. Yu, et al.. (2006). Identification of pulmonary Oct-4 ⁺ stem/progenitor cells and demonstration of their susceptibility to SARS coronavirus (SARS-CoV) infection in vitro. Proceedings of the National Academy of Sciences. 103(25). 9530–9535. 119 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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