Tzu‐Hung Hsiao

908 total citations · 1 hit paper
76 papers, 468 citations indexed

About

Tzu‐Hung Hsiao is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Tzu‐Hung Hsiao has authored 76 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 15 papers in Cancer Research and 13 papers in Genetics. Recurrent topics in Tzu‐Hung Hsiao's work include Systemic Lupus Erythematosus Research (8 papers), Lipoproteins and Cardiovascular Health (6 papers) and Acute Myeloid Leukemia Research (6 papers). Tzu‐Hung Hsiao is often cited by papers focused on Systemic Lupus Erythematosus Research (8 papers), Lipoproteins and Cardiovascular Health (6 papers) and Acute Myeloid Leukemia Research (6 papers). Tzu‐Hung Hsiao collaborates with scholars based in Taiwan, United States and Germany. Tzu‐Hung Hsiao's co-authors include Ching‐Heng Lin, Yu‐Chiao Chiu, I‐Chieh Chen, Yi‐Ming Chen, Yang C. Fann, Yiming Chen, Jen‐Huang Huang, Tzu‐Pin Lu, Yidong Chen and Yeh Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Cell.

In The Last Decade

Tzu‐Hung Hsiao

71 papers receiving 464 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence

2025 24 citations Tzu‐Hung Hsiao, Ching‐Heng Lin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tzu‐Hung Hsiao Taiwan	12	191	72	71	54	52	76	468
Mikael Åberg Sweden	14	174 0.9×	50 0.7×	101 1.4×	113 2.1×	70 1.3×	40	577
Lili Liu China	12	212 1.1×	82 1.1×	59 0.8×	34 0.6×	23 0.4×	37	485
Yong Yu China	14	200 1.0×	130 1.8×	90 1.3×	41 0.8×	29 0.6×	55	483
Daniel Torres‐Moreno Spain	12	114 0.6×	112 1.6×	58 0.8×	31 0.6×	39 0.8×	24	399
Ewa Kurzejamska Sweden	9	176 0.9×	106 1.5×	104 1.5×	43 0.8×	50 1.0×	15	390
Anahita Mojiri United States	12	178 0.9×	44 0.6×	41 0.6×	80 1.5×	30 0.6×	25	449
Yongxin Ru China	13	163 0.9×	55 0.8×	39 0.5×	122 2.3×	38 0.7×	41	448
T Furukawa Japan	8	128 0.7×	120 1.7×	39 0.5×	47 0.9×	57 1.1×	25	397
Jeonghwan Youk South Korea	12	240 1.3×	162 2.3×	118 1.7×	93 1.7×	91 1.8×	40	506
Qinan Yin China	15	242 1.3×	216 3.0×	138 1.9×	41 0.8×	72 1.4×	49	596

Countries citing papers authored by Tzu‐Hung Hsiao

Since Specialization

Citations

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

Fields of papers citing papers by Tzu‐Hung Hsiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tzu‐Hung Hsiao

This figure shows the co-authorship network connecting the top 25 collaborators of Tzu‐Hung Hsiao. A scholar is included among the top collaborators of Tzu‐Hung 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 Tzu‐Hung Hsiao. Tzu‐Hung Hsiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wu, Ting‐Shuan, et al.. (2025). ARTN and CCL23 predicted chemosensitivity in acute myeloid leukemia: an Olink® proteomics approach. Clinical Proteomics. 22(1). 3–3.

Chen, Yen–Ju, Yen–Ju Chen, Tzu‐Hung Hsiao, et al.. (2024). Polygenic Risk Score Predicts Earlier-Onset Adult Systemic Lupus Erythematosus and First-Year Renal Diseases in a Taiwanese Cohort. RMD Open. 10(2). e003293–e003293. 6 indexed citations

Chen, I‐Chieh, Yi‐Ming Chen, Tzu‐Hung Hsiao, et al.. (2024). Using a Polygenic Risk Score to Improve the Risk Prediction of Non–Small Cell Lung Cancer in Taiwan. JCO Precision Oncology. 8(8). e2400236–e2400236. 2 indexed citations

Hung, Sheng-Chun, et al.. (2024). Predictive value of polygenic risk score for prostate cancer incidence and prognosis in the Han Chinese. Scientific Reports. 14(1). 20453–20453.

Chou, Seng‐Cho T., et al.. (2024). Machine learning approaches to identify systemic lupus erythematosus in anti-nuclear antibody-positive patients using genomic data and electronic health records. BioData Mining. 17(1). 1–1. 7 indexed citations

Lee, Wen‐Jane, et al.. (2023). Prevalence and prognosis of genetically proven familial hypercholesterolemia in subjects with coronary artery disease and reduced ejection fraction. Scientific Reports. 13(1). 16942–16942. 3 indexed citations

Hsiao, Tzu‐Hung, et al.. (2023). Chemoresistance in acute myeloid leukemia: An alternative single‐cell RNA sequencing approach. Hematological Oncology. 41(3). 499–509. 7 indexed citations

Jiang, Rong‐San, et al.. (2023). Risk Prediction of Chronic Rhinosinusitis with or without Nasal Polyps in Taiwanese Population Using Polygenic Risk Score for Nasal Polyps. Biomedicines. 11(10). 2729–2729. 1 indexed citations

Hsiao, Tzu‐Hung, et al.. (2023). CYP2C19 genotypes and osteoporotic fractures in long‐term users of proton pump inhibitors: A hospital‐based study. Clinical and Translational Science. 16(11). 2198–2208. 6 indexed citations

10.

Chen, I‐Chieh, Hsin‐Hua Chen, Yuhan Jiang, et al.. (2023). Whole transcriptome analysis to explore the impaired immunological features in critically ill elderly patients with sepsis. Journal of Translational Medicine. 21(1). 141–141. 6 indexed citations

11.

Gau, Jyh‐Pyng, et al.. (2023). Clinical Features and Outcomes of Primary Breast Diffuse Large B-Cell Lymphoma: A Matched-Pair Study. Clinical Medicine Insights Oncology. 17. 1373324102–1373324102. 1 indexed citations

12.

Hsiao, Tzu‐Hung, Ching‐Heng Lin, Chiann‐Yi Hsu, et al.. (2022). CYP2C19 loss-of-function alleles predicts clinical outcomes in East Asian patients with acute myocardial infarction undergoing percutaneous coronary intervention and stenting receiving clopidogrel. Frontiers in Cardiovascular Medicine. 9. 994184–994184. 3 indexed citations

13.

Lin, Chih‐Hung, Tzu‐Hung Hsiao, Bharath Kumar Velmurugan, et al.. (2022). AGR2 expression as a predictive biomarker for therapy response in esophageal squamous cell carcinoma. PLoS ONE. 17(11). e0276990–e0276990. 6 indexed citations

14.

Lin, Ching‐Heng, Yi‐Ming Chen, Wei‐Ju Lee, et al.. (2022). Utilizing apolipoprotein E genotypes and associated comorbidities for the assessment of the risk for dementia. Frontiers in Aging Neuroscience. 14. 927656–927656. 3 indexed citations

15.

Lee, Wen‐Jane, Wen‐Jane Lee, Yi‐Ming Chen, et al.. (2021). Familial Hypercholesterolemia Genetic Variations and Long-Term Cardiovascular Outcomes in Patients with Hypercholesterolemia Who Underwent Coronary Angiography. Genes. 12(9). 1413–1413. 3 indexed citations

16.

Chen, Po‐Lin, et al.. (2021). Characterization of familial hypercholesterolemia in Taiwanese ischemic stroke patients. Aging. 13(15). 19339–19351. 5 indexed citations

17.

Hsiao, Tzu‐Hung, Chih-Jen Huang, Yen–Ju Chen, et al.. (2021). Machine learning approaches for the genomic prediction of rheumatoid arthritis and systemic lupus erythematosus. BioData Mining. 14(1). 52–52. 14 indexed citations

18.

Tzeng, Chung‐Yuh, et al.. (2019). The impact of pre-existing shoulder diseases and traumatic injuries of the shoulder on adhesive capsulitis in adult population. Medicine. 98(39). e17204–e17204. 11 indexed citations

19.

Chiu, Yu‐Chiao, et al.. (2016). Applying gene set analysis to characterize the activities of immune cells in estrogen receptor positive breast cancer. Translational Cancer Research. 5(2). 176–185. 2 indexed citations

20.

Luo, R.C. & Tzu‐Hung Hsiao. (2002). Development of an intelligent electrical walking rehabilitation system. 1. 559–564. 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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