Tzu‐Hao Chang

5.2k total citations · 1 hit paper
114 papers, 3.8k citations indexed

About

Tzu‐Hao Chang is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Tzu‐Hao Chang has authored 114 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 20 papers in Cancer Research and 18 papers in Epidemiology. Recurrent topics in Tzu‐Hao Chang's work include MicroRNA in disease regulation (13 papers), RNA and protein synthesis mechanisms (11 papers) and RNA modifications and cancer (9 papers). Tzu‐Hao Chang is often cited by papers focused on MicroRNA in disease regulation (13 papers), RNA and protein synthesis mechanisms (11 papers) and RNA modifications and cancer (9 papers). Tzu‐Hao Chang collaborates with scholars based in Taiwan, United States and China. Tzu‐Hao Chang's co-authors include Hsien‐Da Huang, Shun-Long Weng, Hsi‐Yuan Huang, Jorng‐Tzong Horng, Justin Bo‐Kai Hsu, Tzong-Yi Lee, Chih‐Hung Chou, Sirjana Shrestha, Sheng‐Da Hsu and Kuang‐Wen Liao and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Tzu‐Hao Chang

112 papers receiving 3.7k citations

Hit Papers

miRTarBase update 2014: an information resource for exper... 2013 2026 2017 2021 2013 250 500 750
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.

  1. miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactions
    2013 892 citations Sheng‐Da Hsu, Yu‐Ting Tseng et al. Nucleic Acids Research profile →

Peers

Tzu‐Hao Chang
Hongliang Liu China
Koichi Takahashi United States
Yun‐Shien Lee Taiwan
D Lambert United Kingdom
Hua‐Lin Wu Taiwan
Ravindra Kolhe United States
Jing Lin China
Kyoung Mi Kim South Korea
Edmond S.K. Hong Kong
Jae‐Ho Lee South Korea
Hongliang Liu China
Tzu‐Hao Chang
Citations per year, relative to Tzu‐Hao Chang Tzu‐Hao Chang (= 1×) peers Hongliang Liu

Countries citing papers authored by Tzu‐Hao Chang

Since Specialization
Citations

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

Fields of papers citing papers by Tzu‐Hao Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tzu‐Hao Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Tzu‐Hao Chang. A scholar is included among the top collaborators of Tzu‐Hao 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 Tzu‐Hao Chang. Tzu‐Hao 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.
Shih, Chun‐Ming, et al.. (2025). Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach. Risk Management and Healthcare Policy. Volume 18. 77–93. 1 indexed citations
2.
Ho, Chih‐Ming, Ting‐Lin Yen, Tzu‐Hao Chang, & Shih‐Hung Huang. (2024). COL6A3 Exosomes Promote Tumor Dissemination and Metastasis in Epithelial Ovarian Cancer. International Journal of Molecular Sciences. 25(15). 8121–8121. 3 indexed citations
3.
Wang, Tzu‐Hao, et al.. (2024). Ensemble Machine Learning for Predicting 90-Day Outcomes and Analyzing Risk Factors in Acute Kidney Injury Requiring Dialysis. Journal of Multidisciplinary Healthcare. Volume 17. 1589–1602. 1 indexed citations
4.
Nguyen, Phung‐Anh, Min‐Huei Hsu, Tzu‐Hao Chang, et al.. (2024). Taipei Medical University Clinical Research Database: a collaborative hospital EHR database aligned with international common data standards. BMJ Health & Care Informatics. 31(1). e100890–e100890. 6 indexed citations
5.
Lee, Wei‐Chieh, Yu‐Sheng Lin, Huang‐Chung Chen, et al.. (2023). Downregulation of <i></i><i>SIRT1 </i>and <i>GADD45G </i>genes and left atrial fibrosis induced by right ventricular dependent pacing in a complete atrioventricular block pig model. SHILAP Revista de lepidopterología. 24(2). 360–373. 4 indexed citations
6.
7.
Chen, Wan‐Ting, Chi‐Li Chung, Yu‐Ting Chou, et al.. (2022). Comparative survival analysis of platinum‐based adjuvant chemotherapy for early‐stage squamous cell carcinoma and adenocarcinoma of the lung. Cancer Medicine. 11(10). 2067–2078. 13 indexed citations
8.
Lin, Ruo-Kai, Chih-Ming Su, Le Thi Anh Thư, et al.. (2022). Hypermethylation of TMEM240 predicts poor hormone therapy response and disease progression in breast cancer. Molecular Medicine. 28(1). 67–67. 10 indexed citations
9.
10.
Lo, Yu‐Chun, You‐Yin Chen, Yun Wang, et al.. (2021). CCL5 promotion of bioenergy metabolism is crucial for hippocampal synapse complex and memory formation. Molecular Psychiatry. 26(11). 6451–6468. 27 indexed citations
11.
Chang, Shy-Shin, et al.. (2021). A COVID-19 Pandemic Artificial Intelligence–Based System With Deep Learning Forecasting and Automatic Statistical Data Acquisition: Development and Implementation Study. Journal of Medical Internet Research. 23(5). e27806–e27806. 35 indexed citations
12.
Wu, Yi‐Hui, Yu-Fang Huang, Tzu‐Hao Chang, et al.. (2021). COL11A1 activates cancer-associated fibroblasts by modulating TGF-β3 through the NF-κB/IGFBP2 axis in ovarian cancer cells. Oncogene. 40(26). 4503–4519. 58 indexed citations
13.
14.
Chen, Chang‐Hua, et al.. (2019). Diversity of nasal microbiota and its interaction with surface microbiota among residents in healthcare institutes. Scientific Reports. 9(1). 6175–6175. 33 indexed citations
15.
Weng, Shun-Long, et al.. (2017). Genome-wide discovery of viral microRNAs based on phylogenetic analysis and structural evolution of various human papillomavirus subtypes. Briefings in Bioinformatics. 19(6). 1102–1114. 17 indexed citations
16.
Wu, Yi‐Hui, Wen‐Tai Chiu, Ming-Jer Young, et al.. (2015). Solanum Incanum Extract Downregulates Aldehyde Dehydrogenase 1-Mediated Stemness and Inhibits Tumor Formation in Ovarian Cancer Cells. Journal of Cancer. 6(10). 1011–1019. 30 indexed citations
17.
Lin, Feng-Mao, Tzu‐Hao Chang, Wei-Chih Huang, et al.. (2014). Clinical detection of human probiotics and human pathogenic bacteria by using a novel high-throughput platform based on next generation sequencing. PubMed. 4(1). 1–1. 12 indexed citations
18.
Hsu, Sheng‐Da, Yu‐Ting Tseng, Sirjana Shrestha, et al.. (2013). miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactions. Nucleic Acids Research. 42(D1). D78–D85. 892 indexed citations breakdown →
19.
Chen, How-Foo, Cheng-Ting Tsai, Ta‐Jen Yen, et al.. (2012). The activation of directional stem cell motility by green light-emitting diode irradiation. Biomaterials. 34(8). 1911–1920. 46 indexed citations
20.
Chang, Tzu‐Hao, et al.. (2006). RNAMST: efficient and flexible approach for identifying RNA structural homologs. Nucleic Acids Research. 34(Web Server). W423–W428. 14 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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