Yin‐Hsiu Chien

11.2k total citations
298 papers, 6.1k citations indexed

About

Yin‐Hsiu Chien is a scholar working on Physiology, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Yin‐Hsiu Chien has authored 298 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Physiology, 106 papers in Molecular Biology and 83 papers in Clinical Biochemistry. Recurrent topics in Yin‐Hsiu Chien's work include Lysosomal Storage Disorders Research (96 papers), Metabolism and Genetic Disorders (83 papers) and Glycogen Storage Diseases and Myoclonus (52 papers). Yin‐Hsiu Chien is often cited by papers focused on Lysosomal Storage Disorders Research (96 papers), Metabolism and Genetic Disorders (83 papers) and Glycogen Storage Diseases and Myoclonus (52 papers). Yin‐Hsiu Chien collaborates with scholars based in Taiwan, United States and United Kingdom. Yin‐Hsiu Chien's co-authors include Wuh‐Liang Hwu, Ni‐Chung Lee, Shu-Chuan Chiang, Ai-Chu Huang, Ajay K. Banga, Steven Shinn‐Forng Peng, Shin‐ichi Muramatsu, Fuu‐Jen Tsai, Barry J. Byrne and Shu‐Chuan Chiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Yin‐Hsiu Chien

278 papers receiving 6.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yin‐Hsiu Chien Taiwan 40 2.6k 2.1k 1.6k 1.4k 976 298 6.1k
Ni‐Chung Lee Taiwan 33 1.8k 0.7× 1.7k 0.8× 1.0k 0.7× 1.1k 0.8× 798 0.8× 218 4.3k
Wuh‐Liang Hwu Taiwan 47 4.1k 1.6× 3.2k 1.5× 2.2k 1.4× 1.8k 1.3× 1.3k 1.3× 394 8.9k
Barbara K. Burton United States 50 3.2k 1.3× 2.9k 1.4× 1.3k 0.8× 2.8k 1.9× 1.2k 1.2× 248 7.7k
Generoso Andria Italy 46 2.3k 0.9× 2.9k 1.4× 2.6k 1.6× 1.3k 0.9× 1.7k 1.8× 215 8.5k
Wim J. Kleijer Netherlands 39 2.9k 1.1× 3.6k 1.7× 1.3k 0.8× 445 0.3× 678 0.7× 137 7.0k
Bwee Tien Poll‐The Netherlands 48 1.8k 0.7× 6.0k 2.8× 711 0.5× 2.8k 1.9× 760 0.8× 225 8.6k
Shigeo Kure Japan 44 808 0.3× 4.1k 1.9× 1.4k 0.9× 1.7k 1.2× 1.1k 1.1× 322 8.0k
Johannes Zschocke Austria 51 1.4k 0.5× 5.0k 2.3× 1.1k 0.7× 3.7k 2.6× 1.8k 1.8× 298 8.4k
Matthias R. Baumgartner Switzerland 42 1.0k 0.4× 3.2k 1.5× 2.1k 1.4× 3.2k 2.2× 758 0.8× 181 6.1k
Anna Tylki‐Szymańska Poland 39 4.1k 1.6× 1.6k 0.7× 987 0.6× 284 0.2× 369 0.4× 263 5.4k

Countries citing papers authored by Yin‐Hsiu Chien

Since Specialization
Citations

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

Fields of papers citing papers by Yin‐Hsiu Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yin‐Hsiu Chien. 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 Yin‐Hsiu Chien. The network helps show where Yin‐Hsiu Chien may publish in the future.

Co-authorship network of co-authors of Yin‐Hsiu Chien

This figure shows the co-authorship network connecting the top 25 collaborators of Yin‐Hsiu Chien. A scholar is included among the top collaborators of Yin‐Hsiu Chien 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 Yin‐Hsiu Chien. Yin‐Hsiu Chien 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, Ya‐Fang, Cheng‐Hsuan Li, Ni‐Chung Lee, et al.. (2025). Plasma Glial Fibrillary Acidic Protein Correlates With Brain Metal Burden in Wilson's Disease. Annals of Clinical and Translational Neurology. 12(12). 2433–2445.
3.
Lee, Ni‐Chung, et al.. (2024). Ataluren-mediated nonsense variant readthrough in D-bifunctional protein deficiency: A case report. Molecular Genetics and Metabolism Reports. 41. 101137–101137. 1 indexed citations
4.
Wang, Chung‐Hsing, Yu‐Nan Huang, Wen‐Ling Liao, et al.. (2024). GBA1 as a risk gene for osteoporosis in the specific populations and its role in the development of Gaucher disease. Orphanet Journal of Rare Diseases. 19(1). 144–144. 4 indexed citations
5.
Lu, Haoyang, Yin‐Hsiu Chien, Wuh‐Liang Hwu, et al.. (2024). Long-term follow-up of neurocognitive function in patients with citrin deficiency and cholestasis. Clinical and Experimental Pediatrics. 68(3). 257–265.
6.
Weng, Wen‐Chin, Veronika Barešová, Hsueh‐Wen Hsueh, et al.. (2024). Expanding clinical spectrum of PAICS deficiency: Comprehensive analysis of two sibling cases. European Journal of Human Genetics. 33(7). 870–877. 1 indexed citations
8.
Lee, Ni‐Chung, Yin‐Hsiu Chien, Wuh‐Liang Hwu, et al.. (2023). Clinical Characteristics, Genetic Features, and Long-Term Outcome of Wilson’s Disease in a Taiwanese Population: An 11-Year Follow-Up Study. Journal of Movement Disorders. 16(2). 168–179. 4 indexed citations
9.
Kishnani, Priya S., David Kronn, Shugo Suwazono, et al.. (2023). Higher dose alglucosidase alfa is associated with improved overall survival in infantile-onset Pompe disease (IOPD): data from the Pompe Registry. Orphanet Journal of Rare Diseases. 18(1). 381–381. 6 indexed citations
10.
Muntau, Ania C., Darius J. Adams, Amaya Bélanger-Quintana, et al.. (2019). International best practice for the evaluation of responsiveness to sapropterin dihydrochloride in patients with phenylketonuria. Molecular Genetics and Metabolism. 127(1). 1–11. 43 indexed citations
11.
Lin, Hsiang‐Yu, Chih‐Kuang Chuang, Chung-Hsing Wang, et al.. (2016). Long-term galsulfase enzyme replacement therapy in Taiwanese mucopolysaccharidosis VI patients: A case series. Molecular Genetics and Metabolism Reports. 7. 63–69. 26 indexed citations
12.
Lee, Ni‐Chung, Shin‐ichi Muramatsu, Yin‐Hsiu Chien, et al.. (2015). Benefits of Neuronal Preferential Systemic Gene Therapy for Neurotransmitter Deficiency. Molecular Therapy. 23(10). 1572–1581. 25 indexed citations
13.
Chien, Yin‐Hsiu, et al.. (2015). The Pompe Registry: 10 Years of Data. Journal of Neuromuscular Diseases. 2(s1). S22–S23. 2 indexed citations
14.
Lee, Ni‐Chung, Yin‐Hsiu Chien, Weihua Wang, et al.. (2013). Treatment of Congenital Neurotransmitter Deficiencies by Intracerebral Ventricular Injection of an Adeno-Associated Virus Serotype 9 Vector. Human Gene Therapy. 25(3). 189–198. 16 indexed citations
15.
Chen, Wei‐Hsin, et al.. (2013). Web-Based Newborn Screening System for Metabolic Diseases: Machine Learning Versus Clinicians. Journal of Medical Internet Research. 15(5). e98–e98. 21 indexed citations
16.
Lee, Wen‐I, Jing‐Long Huang, Kuo‐Wei Yeh, et al.. (2013). Clinical Features and Genetic Analysis of Taiwanese Patients With the Hyper IgM Syndrome Phenotype. The Pediatric Infectious Disease Journal. 32(9). 1010–1016. 24 indexed citations
17.
Lin, Hsiang‐Yu, Ming‐Ren Chen, Chih‐Kuang Chuang, et al.. (2010). Enzyme replacement therapy for mucopolysaccharidosis VI—experience in Taiwan. Journal of Inherited Metabolic Disease. 33(S3). 421–427. 23 indexed citations
18.
Chen, Szu‐Ta, Huey‐Ling Chen, Yen‐Hsuan Ni, et al.. (2009). X-linked Liver Glycogenosis in a Taiwanese Family: Transmission From Undiagnosed Males. Pediatrics & Neonatology. 50(5). 230–233. 7 indexed citations
19.
Hwu, Wuh‐Liang, Yin‐Hsiu Chien, Ni‐Chung Lee, et al.. (2009). Newborn screening for Fabry disease in Taiwan reveals a high incidence of the later-onsetGLAmutation c.936+919G>A (IVS4+919G>A). Human Mutation. 30(10). 1397–1405. 263 indexed citations
20.
Chien, Yin‐Hsiu, et al.. (2008). Spectrum of hypermethioninemia in Taiwan. 24(1). 66–70. 2 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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