Fone‐Ching Hsiao

1.0k total citations
42 papers, 848 citations indexed

About

Fone‐Ching Hsiao is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Fone‐Ching Hsiao has authored 42 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Surgery and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Fone‐Ching Hsiao's work include Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Phagocytosis and Immune Regulation (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Fone‐Ching Hsiao is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Phagocytosis and Immune Regulation (7 papers) and Liver Disease Diagnosis and Treatment (6 papers). Fone‐Ching Hsiao collaborates with scholars based in Taiwan, United States and Germany. Fone‐Ching Hsiao's co-authors include Yi‐Jen Hung, Chang‐Hsun Hsieh, Dee Pei, Chang‐Hsun Hsieh, Yi-Jen Hung, Chien-Hsing Lee, Pei‐Chi Chan, Martin Wabitsch, Chung‐Ze Wu and Chih‐Tsueng He and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and The FASEB Journal.

In The Last Decade

Fone‐Ching Hsiao

41 papers receiving 832 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fone‐Ching Hsiao Taiwan 18 256 241 188 165 161 42 848
Hye Kyoung Song South Korea 17 191 0.7× 213 0.9× 171 0.9× 254 1.5× 144 0.9× 19 894
Jun‐Sing Wang Taiwan 17 411 1.6× 226 0.9× 138 0.7× 134 0.8× 152 0.9× 93 1.0k
Samy Hadjadj France 16 224 0.9× 196 0.8× 172 0.9× 208 1.3× 96 0.6× 32 808
Vincent Durlach France 22 386 1.5× 201 0.8× 150 0.8× 153 0.9× 356 2.2× 59 1.1k
Francesca Urbano Italy 22 407 1.6× 234 1.0× 126 0.7× 261 1.6× 237 1.5× 35 1.0k
Jianmin Ran China 14 244 1.0× 182 0.8× 148 0.8× 234 1.4× 109 0.7× 41 795
Ashley Pitzer United States 13 105 0.4× 485 2.0× 140 0.7× 167 1.0× 111 0.7× 23 910
Motofumi Sasaki Japan 13 334 1.3× 202 0.8× 72 0.4× 87 0.5× 177 1.1× 16 781
Canan Topçuoğlu Türkiye 18 143 0.6× 121 0.5× 172 0.9× 114 0.7× 202 1.3× 47 743
Zhen Sun China 17 112 0.4× 319 1.3× 119 0.6× 170 1.0× 101 0.6× 41 812

Countries citing papers authored by Fone‐Ching Hsiao

Since Specialization
Citations

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

Fields of papers citing papers by Fone‐Ching Hsiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fone‐Ching Hsiao. 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 Fone‐Ching Hsiao. The network helps show where Fone‐Ching Hsiao may publish in the future.

Co-authorship network of co-authors of Fone‐Ching Hsiao

This figure shows the co-authorship network connecting the top 25 collaborators of Fone‐Ching Hsiao. A scholar is included among the top collaborators of Fone‐Ching Hsiao 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 Fone‐Ching Hsiao. Fone‐Ching Hsiao 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.
Pei, D., Yu-Ju Hung, Chi‐Ho Lee, et al.. (2015). Associations between genetic variants and the severity of metabolic syndrome in subjects with type 2 diabetes. Genetics and Molecular Research. 14(1). 2518–2526. 19 indexed citations
2.
3.
Hsiao, Fone‐Ching, Po-Shiuan Hsieh, Nain‐Feng Chu, et al.. (2014). Effect ofGAS6andAXLGene Polymorphisms on Adiposity, Systemic Inflammation, and Insulin Resistance in Adolescents. International Journal of Endocrinology. 2014. 1–9. 8 indexed citations
4.
Kuo, Feng-Chih, Yi‐Jen Hung, Yi‐Shing Shieh, et al.. (2014). The levels of plasma growth arrest-specific protein 6 is associated with insulin sensitivity and inflammation in women. Diabetes Research and Clinical Practice. 103(2). 304–309. 17 indexed citations
5.
Hung, Yi‐Jen, Chien-Hsing Lee, Yi‐Shing Shieh, et al.. (2014). Gender differences in plasma growth arrest-specific protein 6 levels in adult subjects. Clinica Chimica Acta. 441. 1–5. 6 indexed citations
6.
Hsiu, Hsin, et al.. (2014). Complexity analysis of beat-to-beat skin-surface laser-Doppler signals in diabetic subjects. Microvascular Research. 93. 9–13. 10 indexed citations
7.
Hung, Yi‐Jen, Chien-Hsing Lee, Yi‐Shing Shieh, et al.. (2014). Plasma growth arrest-specific protein 6 levels in premenopausal and postmenopausal women: the role of endogenous estrogen. Endocrine. 47(3). 923–929. 5 indexed citations
8.
Chen, Yen‐Lin, Yi‐Jen Hung, Chih‐Tsueng He, et al.. (2014). Platelet count can predict metabolic syndrome in older women. Platelets. 26(1). 31–37. 14 indexed citations
9.
Tang, Wenhao, Fu‐Huang Lin, Chien-Hsing Lee, et al.. (2013). Cilostazol effectively attenuates deterioration of albuminuria in patients with type 2 diabetes: a randomized, placebo-controlled trial. Endocrine. 45(2). 293–301. 29 indexed citations
10.
11.
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
12.
Hsieh, Chang‐Hsun, Yi‐Jen Hung, Chih‐Tsueng He, et al.. (2012). Interleukin-6 Receptor Gene 48892 A/C Polymorphism Is Associated with Metabolic Syndrome in Female Taiwanese Adolescents. Genetic Testing and Molecular Biomarkers. 16(12). 1376–1381. 5 indexed citations
13.
Lee, Ting-I, Yao‐Chang Chen, Yu‐Hsun Kao, et al.. (2011). Rosiglitazone induces arrhythmogenesis in diabetic hypertensive rats with calcium handling alteration. International Journal of Cardiology. 165(2). 299–307. 30 indexed citations
14.
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
15.
Hsieh, Chang‐Hsun, et al.. (2011). A rare storm in a psychiatric ward: thyroid storm. General Hospital Psychiatry. 34(2). 210.e1–210.e4. 7 indexed citations
16.
Wu, Chung‐Ze, et al.. (2010). Comparison of insulin sensitivity, glucose sensitivity, and first phase insulin secretion in patients treated with repaglinide or gliclazide. Archives of Pharmacal Research. 33(3). 411–416. 5 indexed citations
17.
Su, Sheng‐Chiang, Dee Pei, Chang‐Hsun Hsieh, et al.. (2010). Circulating pro-inflammatory cytokines and adiponectin in young men with type 2 diabetes. Acta Diabetologica. 48(2). 113–119. 45 indexed citations
18.
Hsiao, Fone‐Ching, Chung‐Ze Wu, Sheng‐Chiang Su, et al.. (2009). Baseline forced expiratory volume in the first second as an independent predictor of development of the metabolic syndrome. Metabolism. 59(6). 848–853. 19 indexed citations
19.
Hsiao, Fone‐Ching, Chung‐Ze Wu, Chang‐Hsun Hsieh, et al.. (2009). Chinese Metabolic Syndrome Risk Score. Southern Medical Journal. 102(2). 159–164. 12 indexed citations
20.
Hsiao, Fone‐Ching, et al.. (2008). Umbilical Myiasis in a Healthy Adult. Southern Medical Journal. 101(10). 1054–1055. 4 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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