Chang‐Hsun Hsieh

2.4k total citations
69 papers, 1.2k citations indexed

About

Chang‐Hsun Hsieh is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery. According to data from OpenAlex, Chang‐Hsun Hsieh has authored 69 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Endocrinology, Diabetes and Metabolism, 22 papers in Epidemiology and 13 papers in Surgery. Recurrent topics in Chang‐Hsun Hsieh's work include Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers) and Osteoarthritis Treatment and Mechanisms (9 papers). Chang‐Hsun Hsieh is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (22 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers) and Osteoarthritis Treatment and Mechanisms (9 papers). Chang‐Hsun Hsieh collaborates with scholars based in Taiwan, United States and Sweden. Chang‐Hsun Hsieh's co-authors include Dee Pei, Ching‐Chuan Jiang, Hongsen Chiang, Chung‐Ze Wu, Fone‐Ching Hsiao, Yi-Jen Hung, Yi‐Jen Hung, Jiunn‐Diann Lin, Shi‐Wen Kuo and Min‐Huey Chen and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Journal of Virology.

In The Last Decade

Chang‐Hsun Hsieh

67 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang‐Hsun Hsieh Taiwan 20 271 258 224 214 179 69 1.2k
Jung Won Choi South Korea 23 333 1.2× 403 1.6× 146 0.7× 272 1.3× 229 1.3× 84 1.4k
Andrea Pasini Italy 23 169 0.6× 191 0.7× 168 0.8× 378 1.8× 101 0.6× 67 1.6k
Marc Baumann Switzerland 25 292 1.1× 133 0.5× 134 0.6× 275 1.3× 84 0.5× 70 1.8k
Yoshiyuki Ozono Japan 19 223 0.8× 103 0.4× 109 0.5× 255 1.2× 125 0.7× 70 1.3k
Krzysztof Sworczak Poland 19 494 1.8× 238 0.9× 690 3.1× 224 1.0× 110 0.6× 172 1.5k
Kenji Yagi Japan 22 381 1.4× 180 0.7× 106 0.5× 197 0.9× 179 1.0× 100 1.5k
Gül Bahtiyar United States 13 113 0.4× 288 1.1× 159 0.7× 317 1.5× 186 1.0× 42 1.2k
Symeon Tournis Greece 24 289 1.1× 245 0.9× 228 1.0× 337 1.6× 147 0.8× 96 1.8k
Carmelo Erio Fiore Italy 21 322 1.2× 138 0.5× 115 0.5× 515 2.4× 81 0.5× 35 1.5k
Cargill H. Alleyne United States 29 577 2.1× 359 1.4× 130 0.6× 394 1.8× 128 0.7× 78 1.9k

Countries citing papers authored by Chang‐Hsun Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Chang‐Hsun Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang‐Hsun Hsieh

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Hsun Hsieh. A scholar is included among the top collaborators of Chang‐Hsun Hsieh 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 Chang‐Hsun Hsieh. Chang‐Hsun Hsieh 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.
Jiang, Ching‐Chuan, et al.. (2022). Prospective Application of Partially Digested Autologous Chondrocyte for Meniscus Tissue Engineering. Pharmaceutics. 14(3). 605–605. 4 indexed citations
2.
Hsieh, Chang‐Hsun, Yu-Pu Juang, Yves S. Y. Hsieh, et al.. (2019). Sulfation pattern of chondroitin sulfate in human osteoarthritis cartilages reveals a lower level of chondroitin-4-sulfate. Carbohydrate Polymers. 229. 115496–115496. 15 indexed citations
3.
Lin, Min‐Hsuan & Chang‐Hsun Hsieh. (2018). Clubbing and pachydermoperiostosis. QJM. 111(11). 833–834.
4.
Hsu, Chun‐Hsien, Chang‐Hsun Hsieh, Chung‐Ze Wu, et al.. (2017). High normotension is associated with future metabolic syndrome but not cardiovascular disease. Medicine. 96(25). e7227–e7227. 1 indexed citations
5.
Lin, Chien‐Ming, Chang‐Hsun Hsieh, Chien‐Hsing Lee, et al.. (2017). Predictive Value of Serum Gamma-glutamyltranspeptidase for Future Cardiometabolic Dysregulation in Adolescents- a 10-year longitudinal study. Scientific Reports. 7(1). 9636–9636. 3 indexed citations
6.
Lin, Jiunn‐Diann, et al.. (2016). Identification of Normal Blood Pressure in Different Age Group. Medicine. 95(14). e3188–e3188. 18 indexed citations
7.
Chen, Harn-Shen, et al.. (2016). Iodine Nutritional Status of School Children in Nauru 2015. Nutrients. 8(9). 520–520. 9 indexed citations
8.
Hsieh, Chang‐Hsun, et al.. (2016). Sciellin mediates mesenchymal-to-epithelial transition in colorectal cancer hepatic metastasis. Oncotarget. 7(18). 25742–25754. 22 indexed citations
9.
Hsieh, Chang‐Hsun, et al.. (2016). The association of hematological parameters and metabolic syndrome in an older population: A cross-sectional and longitudinal study. Journal of Medical Sciences. 36(5). 180–180. 1 indexed citations
10.
Hsieh, Chang‐Hsun, et al.. (2015). Using white blood cell counts to predict metabolic syndrome in the elderly: A combined cross-sectional and longitudinal study. European Journal of Internal Medicine. 26(5). 324–329. 13 indexed citations
11.
Hsu, Chun‐Hsien, I‐Chao Liu, Chang‐Hsun Hsieh, et al.. (2015). Mean arterial pressure is better at predicting future metabolic syndrome in the normotensive elderly: A prospective cohort study in Taiwan. Preventive Medicine. 72. 76–82. 20 indexed citations
12.
Hsu, Chun‐Hsien, et al.. (2014). Adiposity measurements in association with metabolic syndrome in older men have different clinical implications. Nutrition Research. 34(3). 219–225. 14 indexed citations
13.
Chiang, Hongsen, et al.. (2013). Clinical feasibility of a novel biphasic osteochondral composite for matrix-associated autologous chondrocyte implantation. Osteoarthritis and Cartilage. 21(4). 589–598. 32 indexed citations
14.
Hsieh, Chang‐Hsun, et al.. (2012). The adipokines and inflammatory marker in young type 2 diabetics with metabolic syndrome: A pilot study. Obesity Research & Clinical Practice. 7(3). e206–e210. 6 indexed citations
15.
Hsieh, Chang‐Hsun, Dee Pei, Yi‐Jen Hung, & Fone‐Ching Hsiao. (2011). Association between retinoid-X receptor-gamma genetic polymorphisms and diabetic retinopathy. Genetics and Molecular Research. 10(4). 3545–3551. 14 indexed citations
16.
Chiang, Hongsen, et al.. (2011). Differences Between Chondrocytes and Bone Marrow-Derived Chondrogenic Cells. Tissue Engineering Part A. 17(23-24). 2919–2929. 25 indexed citations
17.
Chiang, Hongsen, Chun‐Jen Liao, Hsin‐Yi Huang, et al.. (2010). Comparison of Articular Cartilage Repair by Autologous Chondrocytes With and Without In Vitro Cultivation. Tissue Engineering Part C Methods. 16(2). 291–300. 17 indexed citations
18.
Hsieh, Chang‐Hsun, et al.. (2007). Deleterious effects of MRI on chondrocytes. Osteoarthritis and Cartilage. 16(3). 343–351. 21 indexed citations
19.
Hsieh, Chang‐Hsun, et al.. (2007). Surface ultrastructure and mechanical property of human chondrocyte revealed by atomic force microscopy. Osteoarthritis and Cartilage. 16(4). 480–488. 59 indexed citations
20.
Hsieh, Chang‐Hsun, et al.. (2000). Sequence variants and functional analysis of human papillomavirus type 16 E5 gene in clinical specimens. Archives of Virology. 145(11). 2273–2284. 20 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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