Kai‐Chien Yang

3.5k total citations
75 papers, 2.2k citations indexed

About

Kai‐Chien Yang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Kai‐Chien Yang has authored 75 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Cardiology and Cardiovascular Medicine and 11 papers in Epidemiology. Recurrent topics in Kai‐Chien Yang's work include Cardiac electrophysiology and arrhythmias (9 papers), Ion channel regulation and function (7 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Kai‐Chien Yang is often cited by papers focused on Cardiac electrophysiology and arrhythmias (9 papers), Ion channel regulation and function (7 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Kai‐Chien Yang collaborates with scholars based in Taiwan, United States and Australia. Kai‐Chien Yang's co-authors include Samuel C. Dudley, Jeanne M. Nerbonne, Kathryn A. Yamada, Marcelo G. Bonini, Douglas L. Mann, Veli K. Topkara, Gregory A. Ewald, Isaac George, Akshar Patel and Faisal H. Cheema and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.

In The Last Decade

Kai‐Chien Yang

74 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai‐Chien Yang Taiwan 29 1.1k 634 351 272 263 75 2.2k
Guifu Wu China 23 787 0.7× 327 0.5× 309 0.9× 285 1.0× 145 0.6× 119 2.0k
Siiri E. Iismaa Australia 27 1.2k 1.1× 358 0.6× 204 0.6× 309 1.1× 192 0.7× 74 3.1k
Hiromitsu Kanamori Japan 27 1.0k 1.0× 861 1.4× 182 0.5× 387 1.4× 814 3.1× 93 2.5k
Xiaoyan Zhou China 29 1.1k 1.0× 383 0.6× 496 1.4× 267 1.0× 207 0.8× 120 2.5k
Xin Yi China 28 1.4k 1.4× 333 0.5× 675 1.9× 279 1.0× 239 0.9× 122 2.6k
Lixin Jia China 32 890 0.8× 770 1.2× 250 0.7× 454 1.7× 312 1.2× 63 2.7k
Bo Ding China 27 1.5k 1.4× 618 1.0× 372 1.1× 262 1.0× 167 0.6× 110 2.5k
Jie Yuan China 22 1.0k 1.0× 394 0.6× 441 1.3× 180 0.7× 117 0.4× 54 1.7k
Boél De Paepe Belgium 27 1.3k 1.2× 218 0.3× 141 0.4× 281 1.0× 651 2.5× 110 2.5k
Rumi Maruyama Japan 28 1.1k 1.0× 960 1.5× 142 0.4× 397 1.5× 657 2.5× 59 2.6k

Countries citing papers authored by Kai‐Chien Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kai‐Chien Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐Chien Yang. 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 Kai‐Chien Yang. The network helps show where Kai‐Chien Yang may publish in the future.

Co-authorship network of co-authors of Kai‐Chien Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Chien Yang. A scholar is included among the top collaborators of Kai‐Chien Yang 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 Kai‐Chien Yang. Kai‐Chien Yang 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, Kai‐Chien, et al.. (2025). Deletion of TXNDC5 downregulates TGFβ1-αSMA-mediated testicular fibrosis in mice. Reproduction. 169(6). 1 indexed citations
2.
Huang, Yu‐Fang, et al.. (2024). Determination of 16 ultraviolet–absorbing compounds in marine invertebrates by using LC-USI-MS/MS coupled with QuEChERS. Food Chemistry. 459. 140328–140328. 2 indexed citations
3.
Fan, Sabrina Mai‐Yi, Kang‐Yu Tai, Jian-Da Lin, et al.. (2024). Essential Role of Macrophages in Contact Hypersensitivity–Induced Hair Regeneration. Journal of Investigative Dermatology. 144(12). 2805–2809. 1 indexed citations
4.
Chen, Chih‐Wei, Tung Chao, Kai‐Chien Yang, et al.. (2024). NME3 is a gatekeeper for DRP1-dependent mitophagy in hypoxia. Nature Communications. 15(1). 2264–2264. 9 indexed citations
5.
Chang, Kuang-Yi, Chin‐Yih Hong, Kai‐Chien Yang, & Bo‐Chuan Hsieh. (2023). A comparative study for evaluating the binding affinity of MARAS-selected aptamer and a patented aptamer towards aflatoxin B1 by electrochemical impedimetric aptasensing. International Journal of Electrochemical Science. 18(10). 100307–100307. 2 indexed citations
6.
Jiang, Danye, Chih‐Hung Chen, Chia‐Lang Hsu, et al.. (2023). Trained immunity induced by high‐salt diet impedes stroke recovery. EMBO Reports. 24(12). e57164–e57164. 19 indexed citations
7.
Chang, Chi‐Jen, Ying‐Ju Lai, Ying‐Chang Tung, et al.. (2023). Osteopontin mediation of disturbed flow–induced endothelial mesenchymal transition through CD44 is a novel mechanism of neointimal hyperplasia in arteriovenous fistulae for hemodialysis access. Kidney International. 103(4). 702–718. 18 indexed citations
8.
Liu, Chih‐Min, Kai‐Chien Yang, Mei‐Ling Cheng, et al.. (2022). Fibroblasts Drive Metabolic Reprogramming in Pacemaker Cardiomyocytes. Circulation Research. 131(1). 6–20. 11 indexed citations
10.
Wu, Peï-Yu, et al.. (2022). β-Lapachone, an NQO1 activator, alleviates diabetic cardiomyopathy by regulating antioxidant ability and mitochondrial function. Phytomedicine. 104. 154255–154255. 9 indexed citations
11.
Zhou, Zhengjie, Chih‐Fan Yeh, Myungjin Oh, et al.. (2021). Targeted polyelectrolyte complex micelles treat vascular complications in vivo. Proceedings of the National Academy of Sciences. 118(50). 34 indexed citations
12.
Tang, Sung‐Chun, Kai‐Chien Yang, Chih‐Hao Chen, et al.. (2018). Plasma β-Amyloids and Tau Proteins in Patients with Vascular Cognitive Impairment. NeuroMolecular Medicine. 20(4). 498–503. 19 indexed citations
13.
Tang, Sung‐Chun, et al.. (2017). Elevated Plasma Level of Soluble Form of RAGE in Ischemic Stroke Patients with Dementia. NeuroMolecular Medicine. 19(4). 579–583. 20 indexed citations
14.
Huang, Huey-Lan, et al.. (2016). Lapatinib induces autophagic cell death and differentiation in acute myeloblastic leukemia. OncoTargets and Therapy. Volume 9. 4453–4464. 18 indexed citations
15.
Liu, Man, Guangbin Shi, Kai‐Chien Yang, et al.. (2016). Role of protein kinase C in metabolic regulation of the cardiac Na+ channel. Heart Rhythm. 14(3). 440–447. 30 indexed citations
16.
Salvo, Thomas G. Di, Kai‐Chien Yang, Evan L. Brittain, et al.. (2015). Right Ventricular Myocardial Biomarkers in Human Heart Failure. Journal of Cardiac Failure. 21(5). 398–411. 44 indexed citations
17.
Yang, Kai‐Chien, Marcelo G. Bonini, & Samuel C. Dudley. (2014). Mitochondria and arrhythmias. Free Radical Biology and Medicine. 71. 351–361. 106 indexed citations
18.
Su, Mao‐Yuan, Kai‐Chien Yang, Chau‐Chung Wu, et al.. (2007). First-Pass Myocardial Perfusion Cardiovascular Magnetic Resonance at 3 Tesla. Journal of Cardiovascular Magnetic Resonance. 9(4). 633–644. 21 indexed citations
19.
Yang, Kai‐Chien, Yung‐Ming Chen, Ta‐Chen Su, et al.. (2006). Hepatitis B virus seropositivity is not associated with increased risk of carotid atherosclerosis in Taiwanese. Atherosclerosis. 195(2). 392–397. 28 indexed citations
20.
Yang, Kai‐Chien, Chien‐Ching Hung, & Yi‐Lwun Ho. (2005). Tuberculous Serositis Coexisting with Reversible High-Grade Atrioventricular Block. Zhōnghuá mínguó xīnzàngxué huì zázhì. 21(3). 164–168. 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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