Ya-Ting Chang

1.7k total citations
32 papers, 1.3k citations indexed

About

Ya-Ting Chang is a scholar working on Molecular Biology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ya-Ting Chang has authored 32 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Physiology and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ya-Ting Chang's work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Ya-Ting Chang is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Ya-Ting Chang collaborates with scholars based in Taiwan, United States and Sweden. Ya-Ting Chang's co-authors include Yen‐Hsu Chen, Po‐Ren Hsueh, Chun-Yu Lin, Yu‐Min Kuo, Chauying J. Jen, Lung Yu, Chih-Wei Wu, Shih-Ying Wu, Wei-Hong Chen and Win‐Ping Deng and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.

In The Last Decade

Ya-Ting Chang

32 papers receiving 1.2k citations

Peers

Ya-Ting Chang
David K. Flaherty United States
Peter A. Simmons United States
Johann Braun Germany
Hideo H. Itabashi United States
Maya Desai United Kingdom
József Pál Hungary
David K. Flaherty United States
Ya-Ting Chang
Citations per year, relative to Ya-Ting Chang Ya-Ting Chang (= 1×) peers David K. Flaherty

Countries citing papers authored by Ya-Ting Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ya-Ting Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya-Ting Chang. 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 Ya-Ting Chang. The network helps show where Ya-Ting Chang may publish in the future.

Co-authorship network of co-authors of Ya-Ting Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ya-Ting Chang. A scholar is included among the top collaborators of Ya-Ting Chang 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 Ya-Ting Chang. Ya-Ting Chang 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.
Chang, Ya-Ting, et al.. (2024). DiHAN: A Novel Dynamic Hierarchical Graph Attention Network for Fake News Detection. 197–206. 1 indexed citations
2.
Langpoklakpam, Catherine, Yu-Wen Huang, Ya-Ting Chang, et al.. (2021). The Evolution of Manufacturing Technology for GaN Electronic Devices. Micromachines. 12(7). 737–737. 34 indexed citations
3.
Chang, Ya-Ting, et al.. (2020). Effects of Fibrin Sealant on Seroma Reduction for Patients with Breast Cancer Undergoing Axillary Dissection: Meta-Analysis of Randomized Controlled Trials. Annals of Surgical Oncology. 27(13). 5286–5295. 7 indexed citations
4.
Tang, Hung-Jen, Susan Shin‐Jung Lee, Jen‐Chieh Lee, et al.. (2019). Determining the clinical characteristics and prognostic factors for the outcomes of Japanese encephalitis in adults: A multicenter study from southern Taiwan. Journal of Microbiology Immunology and Infection. 52(6). 893–901. 13 indexed citations
5.
Chen, Hsiu‐Hui, et al.. (2018). Adequacy of nutrition and body weight in patients with early stage dementia: The cognition and aging study. Clinical Nutrition. 38(5). 2187–2194. 9 indexed citations
6.
Chang, Ya-Ting, et al.. (2017). Cilia-dependent GLI processing in neural crest cells is required for tongue development. Developmental Biology. 424(2). 124–137. 34 indexed citations
7.
Chang, Chiung-Chih, Shih‐Jen Tsai, Nai-Ching Chen, et al.. (2017). Catechol-O-Methyltransferase Val158Met Polymorphism on Striatum Structural Covariance Networks in Alzheimer’s Disease. Molecular Neurobiology. 55(6). 4637–4649. 5 indexed citations
8.
Chang, Ko, Nan–Yao Lee, Wen‐Chien Ko, et al.. (2017). Characteristics of scrub typhus, murine typhus, and Q fever among elderly patients: Prolonged prothrombin time as a predictor for severity. Journal of Microbiology Immunology and Infection. 52(1). 54–61. 14 indexed citations
9.
Chen, Chiehfeng, El‐Wui Loh, Ya-Ting Chang, et al.. (2017). Tyrosine kinase inhibitors for advanced or metastatic thyroid cancer: a meta-analysis of randomized controlled trials. Current Medical Research and Opinion. 34(5). 795–803. 27 indexed citations
10.
Tseng, Yi‐Hsin, Ya-Hui Huang, Tzu-Kang Lin, et al.. (2016). Thyroid hormone suppresses expression of stathmin and associated tumor growth in hepatocellular carcinoma. Scientific Reports. 6(1). 38756–38756. 18 indexed citations
11.
Huang, Chi‐Wei, Meng‐Han Tsai, Nai-Ching Chen, et al.. (2015). Clinical significance of circulating vascular cell adhesion molecule-1 to white matter disintegrity in Alzheimer’s dementia. Thrombosis and Haemostasis. 114(12). 1230–1240. 63 indexed citations
12.
Chang, Ya-Ting, Chun-Yu Lin, Yen‐Hsu Chen, & Po‐Ren Hsueh. (2015). Update on infections caused by Stenotrophomonas maltophilia with particular attention to resistance mechanisms and therapeutic options. Frontiers in Microbiology. 6. 893–893. 305 indexed citations
13.
Tseng, Chi‐Nan, Eva Karlöf, Ya-Ting Chang, et al.. (2014). Contribution of Endothelial Injury and Inflammation in Early Phase to Vein Graft Failure: The Causal Factors Impact on the Development of Intimal Hyperplasia in Murine Models. PLoS ONE. 9(6). e98904–e98904. 25 indexed citations
14.
Chang, Ya-Ting, et al.. (2014). Tpz1-Ccq1 and Tpz1-Poz1 Interactions within Fission Yeast Shelterin Modulate Ccq1 Thr93 Phosphorylation and Telomerase Recruitment. PLoS Genetics. 10(10). e1004708–e1004708. 22 indexed citations
15.
Wu, Chih‐Ching, Shu‐Chen Liu, Kai‐Ping Chang, et al.. (2011). Quantitative plasma proteome analysis reveals aberrant level of blood coagulation-related proteins in nasopharyngeal carcinoma. Journal of Proteomics. 74(5). 744–757. 14 indexed citations
16.
Chang, Ya-Ting, et al.. (2009). The effect of midazolam on mouse Leydig cell steroidogenesis and apoptosis. Toxicology Letters. 192(2). 169–178. 20 indexed citations
17.
Fang, Shiuh‐Bin, et al.. (2008). Hyperthermia as an Early Sign of Intracranial Hemorrhage in Full-term Neonates. Pediatrics & Neonatology. 49(3). 71–76. 4 indexed citations
18.
Su, Yu‐Chieh, et al.. (2008). Differentially expressed serum haptoglobin alpha chain isoforms with potential application for diagnosis of head and neck cancer. Clinica Chimica Acta. 398(1-2). 48–52. 23 indexed citations
19.
Chang, Ya-Ting, Yi‐Chieh Chen, Chih-Wei Wu, et al.. (2008). Glucocorticoid signaling and exercise-induced downregulation of the mineralocorticoid receptor in the induction of adult mouse dentate neurogenesis by treadmill running. Psychoneuroendocrinology. 33(9). 1173–1182. 38 indexed citations
20.
Chen, Ta-Liang, et al.. (2006). Oxidized low-density lipoprotein induces apoptotic insults to mouse cerebral endothelial cells via a Bax–mitochondria–caspase protease pathway. Toxicology and Applied Pharmacology. 219(1). 42–53. 45 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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