Pi‐Yueh Chang

2.0k total citations
68 papers, 1.4k citations indexed

About

Pi‐Yueh Chang is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Pi‐Yueh Chang has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Surgery and 14 papers in Epidemiology. Recurrent topics in Pi‐Yueh Chang's work include Adipokines, Inflammation, and Metabolic Diseases (6 papers), Cancer Genomics and Diagnostics (5 papers) and Lipoproteins and Cardiovascular Health (3 papers). Pi‐Yueh Chang is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (6 papers), Cancer Genomics and Diagnostics (5 papers) and Lipoproteins and Cardiovascular Health (3 papers). Pi‐Yueh Chang collaborates with scholars based in Taiwan, United States and Australia. Pi‐Yueh Chang's co-authors include Tsu‐Lan Wu, Kuo‐Chien Tsao, James T. Wu, Chien‐Feng Sun, Lily Wu, Shih‐Cheng Chang, Err–Cheng Chan, Ying-Hao Wen, Kuang‐Hui Yu and Yuchen Sun and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Cancer.

In The Last Decade

Pi‐Yueh Chang

67 papers receiving 1.4k citations

Peers

Pi‐Yueh Chang
Rene Costello United States
Bart Wagner United Kingdom
Jian Jia China
Rajeev Singh India
Weiwei Xu China
Margaret H.L. Ng Hong Kong
Zhengyu Zhang China
Susanne Schulz Germany
Xu D China
Laurie S. Conklin United States
Rene Costello United States
Pi‐Yueh Chang
Citations per year, relative to Pi‐Yueh Chang Pi‐Yueh Chang (= 1×) peers Rene Costello

Countries citing papers authored by Pi‐Yueh Chang

Since Specialization
Citations

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

Fields of papers citing papers by Pi‐Yueh Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pi‐Yueh 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 Pi‐Yueh Chang. The network helps show where Pi‐Yueh Chang may publish in the future.

Co-authorship network of co-authors of Pi‐Yueh Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Pi‐Yueh Chang. A scholar is included among the top collaborators of Pi‐Yueh 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 Pi‐Yueh Chang. Pi‐Yueh 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.
Chen, Yi‐Chun, Wei-Min Ho, Ren-Guey Lee, et al.. (2023). Classifying Alzheimer’s disease and normal subjects using machine learning techniques and genetic-environmental features. Journal of the Formosan Medical Association. 123(6). 701–709. 4 indexed citations
2.
3.
Huang, Chung‐Guei, et al.. (2022). Application of the electronic book to promote self-directed learning in medical technologist continuing education: a cross-sectional study. BMC Medical Education. 22(1). 713–713. 3 indexed citations
4.
Huang, Chung‐Guei, Avijit Dutta, Ching‐Tai Huang, et al.. (2021). Relative COVID-19 Viral Persistence and Antibody Kinetics. Pathogens. 10(6). 752–752. 6 indexed citations
5.
Chang, Pi‐Yueh, Chung‐Guei Huang, Chung-Chih Hung, et al.. (2020). Application of an Innovative Quality Assessment Form for Medical Technology E-learning Materials: A Practical Design Facilitating Positive Learning Experiences. 32(3). 117–135. 1 indexed citations
6.
Kuo, Chia‐Jung, Cheng‐Yu Lin, Puo‐Hsien Le, et al.. (2020). Rescue therapy with rifabutin regimen for refractory Helicobacter pylori infection with dual drug-resistant strains. BMC Gastroenterology. 20(1). 218–218. 14 indexed citations
7.
Yang, Shu‐Li, et al.. (2019). Diagnosis of Pneumocystis pneumonia by real-time PCR in patients with various underlying diseases. Journal of Microbiology Immunology and Infection. 53(5). 785–790. 17 indexed citations
8.
Wang, Hsin‐Shih, Chia-Lung Tsai, Pi‐Yueh Chang, et al.. (2018). Positive associations between upregulated levels of stress-induced phosphoprotein 1 and matrix metalloproteinase-9 in endometriosis/adenomyosis. PLoS ONE. 13(1). e0190573–e0190573. 17 indexed citations
9.
Kuo, An-Jing, Ying-Hao Wen, Ju‐Hsin Chia, et al.. (2016). Routine identification of microorganisms by matrix-assisted laser desorption ionization time-of-flight mass spectrometry: Success rate, economic analysis, and clinical outcome. Journal of Microbiology Immunology and Infection. 50(5). 662–668. 65 indexed citations
10.
Yu, Kuang‐Hui, et al.. (2015). Diagnostic Performance of Serum IgG4 Levels in Patients With IgG4-Related Disease. Medicine. 94(41). e1707–e1707. 49 indexed citations
11.
Chang, Pi‐Yueh, et al.. (2014). Association of small dense lowdensity lipoprotein cholesterol in type 2 diabetics with coronary artery disease. Biomedical Journal. 37(6). 375–375. 17 indexed citations
12.
Hui, Rosaline Chung‐Yee, Tony Wu, Wan‐Chun Chang, et al.. (2013). Genotype–phenotype association between HLA and carbamazepine-induced hypersensitivity reactions: Strength and clinical correlations. Journal of Dermatological Science. 73(2). 101–109. 72 indexed citations
13.
Tsai, Meng-Chang, Chia‐Ming Chang, Chia-Yih Liu, Pi‐Yueh Chang, & Tiao‐Lai Huang. (2011). Association of serum levels of leptin, ghrelin, and adiponectin in schizophrenic patients and healthy controls. International Journal of Psychiatry in Clinical Practice. 15(2). 106–111. 17 indexed citations
14.
Chen, Ding‐Ping, et al.. (2009). Use of X-linked short tandem repeats loci to confirm mutations in parentage caseworks. Clinica Chimica Acta. 408(1-2). 29–33. 8 indexed citations
15.
Chen, Ding‐Ping, et al.. (2007). Bone marrow transplant relapse with loss of an allele. Clinica Chimica Acta. 387(1-2). 161–164. 5 indexed citations
16.
Sun, Yuchen, Pi‐Yueh Chang, Kuo‐Chien Tsao, et al.. (2006). Establishment of a sandwich ELISA using commercial antibody for plasma or serum 3-nitrotyrosine (3NT). Elevation in inflammatory diseases and complementary between 3NT and myeloperoxidase. Clinica Chimica Acta. 378(1-2). 175–180. 41 indexed citations
17.
Chang, Pi‐Yueh, Tsu‐Lan Wu, Kuo‐Chien Tsao, et al.. (2006). Development of an ELISA for myeloperoxidase on microplate: Normal reference values and effect of temperature on specimen preparation. Clinica Chimica Acta. 373(1-2). 158–163. 27 indexed citations
18.
Tsao, Kuo‐Chien, et al.. (2003). Development of a microplate ELISA for circulating E‐selectin: assay characterization, comparison with a commercial kit, wand establishment of normal reference values. Journal of Clinical Laboratory Analysis. 17(3). 97–101. 8 indexed citations
19.
Tsao, Kuo‐Chien, et al.. (2001). Characterization of serum and urinary chromogranin A by size exclusion chromatography: Impact on calibrator selection and urinary assay. Journal of Clinical Laboratory Analysis. 15(4). 193–198. 3 indexed citations
20.
Chen, C.‐P., Chun‐Yu Chuang, Yuh‐Ming Hwu, et al.. (1997). Clinical and perinatal sonographic features of congenital adrenal cystic neuroblastoma: a case report with review of the literature. Ultrasound in Obstetrics and Gynecology. 10(1). 68–73. 36 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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