Tzu‐Hao Chang
- Cancer Research top 1%
- MicroRNA in disease regulation 13
- Cancer-related molecular mechanisms research 7
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 11
- RNA modifications and cancer 9
- RNA Research and Splicing 9
- Gut microbiota and health 8
- Machine Learning in Bioinformatics 6
- Microbiology top 5%
- Nephrology top 5%
- Dialysis and Renal Disease Management 7
- Reproductive Medicine top 5%
- Co-authors
- Hsien‐Da HuangShun-Long WengHsi‐Yuan HuangJorng‐Tzong HorngJustin Bo‐Kai HsuTzong-Yi LeeChih‐Hung ChouSirjana Shrestha
- Journals
- Nucleic Acids Research (4 papers)SHILAP Revista de lepidopterología (1 paper)PLoS ONE (7 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Tzu‐Hao Chang
112 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Cancer Research 1.2k
- Molecular Biology 2.3k
- Microbiology 158
- Nephrology 142
- Reproductive Medicine 160
Countries citing papers authored by Tzu‐Hao Chang
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
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
The 25 scholars most cited alongside Tzu‐Hao Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 10 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 27 | |
| 11 | 2021 | 35 | |
| 12 | 2021 | 58 | |
| 13 | 2021 | 11 | |
| 14 | 2019 | 33 | |
| 15 | 2017 | 17 | |
| 16 | 2015 | 30 | |
| 17 | 2014 | 12 | |
| 18 | miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactionsbreakdown → | 2013 | 892 |
| 19 | 2012 | 46 | |
| 20 | 2006 | 14 |
About Tzu‐Hao Chang
Tzu‐Hao Chang is a scholar working on Nephrology, Cancer Research and Molecular Biology, having authored 114 papers that have together received 3.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (13 papers), RNA and protein synthesis mechanisms (11 papers), RNA modifications and cancer (9 papers), RNA Research and Splicing (9 papers), Gut microbiota and health (8 papers), Dialysis and Renal Disease Management (7 papers), Cancer-related molecular mechanisms research (7 papers) and Machine Learning in Bioinformatics (6 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (2.3k citations) and Microbiology (158 citations). Tzu‐Hao Chang has collaborated with scholars based in Taiwan, United States and China. Frequent 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. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.
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.