Shu‐Hao Hsu
- Cancer Research top 1%
- MicroRNA in disease regulation 15
- Cancer-related molecular mechanisms research 7
- Hepatology top 5%
- Molecular Biology top 5%
- Circular RNAs in diseases 6
- RNA Research and Splicing 4
- RNA modifications and cancer 3
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research 3
- Immunology top 10%
- T-cell and B-cell Immunology 3
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- Retinal Diseases and Treatments 4
- Co-authors
- Kalpana GhoshalBo WangSamson T. JacobHuban KutayShoumei BaiJianhua YuChi‐Ming ChanWendy L. Frankel
- Partner nations
- TaiwanUnited StatesGermany
In The Last Decade
Shu‐Hao Hsu
56 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cancer Research 1.7k
- Hepatology 260
- Molecular Biology 2.0k
- Clinical Biochemistry 95
- Immunology 279
Countries citing papers authored by Shu‐Hao Hsu
This map shows the geographic impact of Shu‐Hao Hsu'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 Shu‐Hao Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Hao Hsu more than expected).
Fields of papers citing papers by Shu‐Hao Hsu
This network shows the impact of papers produced by Shu‐Hao Hsu. 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 Shu‐Hao Hsu. The network helps show where Shu‐Hao Hsu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shu‐Hao Hsu, 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 | 2023 | 3 | |
| 2 | 2023 | 15 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 8 | |
| 7 | 2016 | 103 | |
| 8 | 2016 | 26 | |
| 9 | 2014 | 35 | |
| 10 | 2013 | 97 | |
| 11 | 2013 | 129 | |
| 12 | 2013 | 27 | |
| 13 | The Biological Functions of miR-122 and its Therapeutic Application in Liver Cancer | 2012 | 1 |
| 14 | Essential metabolic, anti-inflammatory, and anti-tumorigenic functions of miR-122 in liverbreakdown → | 2012 | 623 |
| 15 | 2012 | 20 | |
| 16 | 2012 | 58 | |
| 17 | 2009 | 411 | |
| 18 | 2004 | 4 | |
| 19 | HLA associations with chemically defined ragweed pollen components. | 1979 | 5 |
| 20 | CML target determinant segregating independently of HLA in an old-order Amish family. | 1979 | 1 |
About Shu‐Hao Hsu
Shu‐Hao Hsu is a scholar working on Cancer Research, Health Informatics and Clinical Biochemistry, having authored 58 papers that have together received 3.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (6 papers), Retinal Diseases and Treatments (4 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), Advanced Glycation End Products research (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Cancer Research (1.7k citations), Hepatology (260 citations) and Molecular Biology (2.0k citations). Shu‐Hao Hsu has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include Kalpana Ghoshal, Bo Wang, Samson T. Jacob, Huban Kutay, Shoumei Bai, Jianhua Yu, Chi‐Ming Chan, Wendy L. Frankel, Sarmila Majumder and Michael A. Caligiuri. Their work appears in journals such as Hepatology, PLoS ONE, Journal of Biomedical Science, American Journal Of Pathology and Journal of Cellular Biochemistry.
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.