Chiu-Fen Yang

443 total citations
18 papers, 334 citations indexed

About

Chiu-Fen Yang is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Surgery. According to data from OpenAlex, Chiu-Fen Yang has authored 18 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 4 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in Chiu-Fen Yang's work include Cardiovascular Health and Disease Prevention (8 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Blood Pressure and Hypertension Studies (3 papers). Chiu-Fen Yang is often cited by papers focused on Cardiovascular Health and Disease Prevention (8 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and Blood Pressure and Hypertension Studies (3 papers). Chiu-Fen Yang collaborates with scholars based in Taiwan, United States and South Korea. Chiu-Fen Yang's co-authors include Ji‐Hung Wang, Bang‐Gee Hsu, Chung‐Jen Lee, Yu‐Chih Chen, Ching‐Feng Cheng, Michael Yu‐Chih Chen, Ming‐Chun Chen, Yu‐Chih Chen, Mei‐Ling Chen and Jen‐Pi Tsai and has published in prestigious journals such as PLoS ONE, Circulation Research and Free Radical Biology and Medicine.

In The Last Decade

Chiu-Fen Yang

16 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chiu-Fen Yang Taiwan 11 148 94 94 51 50 18 334
Ruiyan Ma China 11 105 0.7× 138 1.5× 113 1.2× 73 1.4× 38 0.8× 27 395
Juan Ignacio Burgos Argentina 9 195 1.3× 177 1.9× 49 0.5× 53 1.0× 41 0.8× 13 379
Genri Numata Japan 7 152 1.0× 107 1.1× 45 0.5× 41 0.8× 61 1.2× 16 310
Xiangshao Fang China 15 61 0.4× 178 1.9× 102 1.1× 82 1.6× 41 0.8× 32 494
Masamitsu Iwasa Japan 14 153 1.0× 166 1.8× 48 0.5× 80 1.6× 47 0.9× 21 443
Almudena Val‐Blasco Spain 12 143 1.0× 145 1.5× 36 0.4× 27 0.5× 34 0.7× 20 333
Elias Rawish Germany 9 132 0.9× 55 0.6× 58 0.6× 46 0.9× 42 0.8× 16 347
Sachiyo Igata Japan 12 210 1.4× 84 0.9× 46 0.5× 70 1.4× 46 0.9× 47 428
Crystal M. Ghantous Lebanon 7 94 0.6× 84 0.9× 134 1.4× 40 0.8× 110 2.2× 11 349

Countries citing papers authored by Chiu-Fen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chiu-Fen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chiu-Fen 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 Chiu-Fen Yang. The network helps show where Chiu-Fen Yang may publish in the future.

Co-authorship network of co-authors of Chiu-Fen Yang

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

All Works

18 of 18 papers shown
1.
Chao, Chia‐Ter, Chiu-Fen Yang, Ying‐Hsiang Lee, et al.. (2024). Blood pressure targets, medication consideration and unique concerns in elderly hypertension IV: Focus on frailty, orthostatic hypotension, and resistant hypertension. Journal of the Formosan Medical Association. 124. S63–S69.
3.
Yang, Chiu-Fen, et al.. (2024). Abstract Tu130: Intracellular Galectin-3 Interacts with Cytosolically Exposed Glycans to Promote the Injury of Cardiomyocytes Under Oxidative Stress. Circulation Research. 135(Suppl_1). ATu130–ATu130. 1 indexed citations
4.
Yang, Chiu-Fen, et al.. (2023). HIGH SERUM TRIMETHYLAMINE N-OXIDE LEVEL IS ASSOCIATED WITH ENDOTHELIAL DYSFUNCTION IN PATIENTS WITH HYPERTENSION. Journal of Hypertension. 41(Suppl 3). e209–e209. 1 indexed citations
5.
Yang, Chiu-Fen, et al.. (2022). Active-site cysteine 215 sulfonation targets protein tyrosine phosphatase PTP1B for Cullin1 E3 ligase-mediated degradation. Free Radical Biology and Medicine. 194. 147–159. 7 indexed citations
6.
Yang, Chiu-Fen & Wen‐Chin Tsai. (2021). Calmodulin. Tzu Chi Medical Journal. 34(1). 15–22. 14 indexed citations
7.
Yang, Chiu-Fen, Chin‐Hung Liu, Yu‐Chih Chen, et al.. (2020). Eating right for a healthier heart: Food choice contributes to cardiometabolic benefits and reduction of carotid intima-media thickness. Nutrition. 78. 110892–110892. 3 indexed citations
8.
Yang, Chiu-Fen, Yiyun Chen, Yuwen Liu, et al.. (2019). Targeting protein tyrosine phosphatase PTP-PEST (PTPN12) for therapeutic intervention in acute myocardial infarction. Cardiovascular Research. 116(5). 1032–1046. 13 indexed citations
9.
Yang, Chiu-Fen. (2018). Clinical manifestations and basic mechanisms of myocardial ischemia/reperfusion injury. Tzu Chi Medical Journal. 30(4). 209–209. 79 indexed citations
10.
Chen, Ming‐Chun, Chung‐Jen Lee, Chiu-Fen Yang, et al.. (2017). Low serum adiponectin level is associated with metabolic syndrome and is an independent marker of peripheral arterial stiffness in hypertensive patients. Diabetology & Metabolic Syndrome. 9(1). 49–49. 27 indexed citations
11.
Wang, Ji‐Hung, Chung‐Jen Lee, Chiu-Fen Yang, Yu‐Chih Chen, & Bang‐Gee Hsu. (2017). Serum resistin as an independent marker of aortic stiffness in patients with coronary artery disease. PLoS ONE. 12(8). e0183123–e0183123. 17 indexed citations
12.
Hsu, Bang‐Gee, Chung‐Jen Lee, Chiu-Fen Yang, Yu‐Chih Chen, & Ji‐Hung Wang. (2017). High serum resistin levels are associated with peripheral artery disease in the hypertensive patients. BMC Cardiovascular Disorders. 17(1). 80–80. 14 indexed citations
13.
Chen, Ming‐Chun, Bang‐Gee Hsu, Chung‐Jen Lee, Chiu-Fen Yang, & Ji‐Hung Wang. (2017). High serum adipocyte fatty acid binding protein level as a potential biomarker of aortic arterial stiffness in hypertensive patients with metabolic syndrome. Clinica Chimica Acta. 473. 166–172. 25 indexed citations
14.
Tsai, Jen‐Pi, Ji‐Hung Wang, Mei‐Ling Chen, et al.. (2016). Association of serum leptin levels with central arterial stiffness in coronary artery disease patients. BMC Cardiovascular Disorders. 16(1). 80–80. 44 indexed citations
15.
Lee, Chung‐Jen, Ji‐Hung Wang, Yu‐Chih Chen, et al.. (2014). Serum Osteopontin Level Correlates with Carotid-Femoral Pulse Wave Velocity in Geriatric Persons. BioMed Research International. 2014. 1–7. 19 indexed citations
16.
Yang, Chiu-Fen, et al.. (2014). Dose-dependent effects of isoflurane on cardiovascular function in rats. Tzu Chi Medical Journal. 26(3). 119–122. 46 indexed citations
17.
Yang, Chiu-Fen, Michael Y. Chen, Meiling Chen, & Ji‐Hung Wang. (2014). Successful Revascularization of Chronic Total Occlusion in Native Coronary Arteries through an Occluded Saphenous Bypass Vein Graft: A Retrograde Alternative Approach. 30(5). 485–489. 1 indexed citations
18.
Lee, Chung‐Jen, Ji‐Hung Wang, Meiling Chen, et al.. (2014). Serum Osteoprotegerin is Associated with Arterial Stiffness Assessed According to the Cardio-ankle Vascular Index in Hypertensive Patients. Journal of Atherosclerosis and Thrombosis. 22(3). 304–312. 23 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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