Shu‐Hao Hsu
- Molecular Biology top 5%
- Cancer Research top 1%
- Epidemiology top 10%
- Immunology top 10%
- Hepatology top 5%
- Co-authors
- Kalpana GhoshalBo WangSamson T. JacobHuban KutayShoumei BaiJianhua YuChi‐Ming ChanWendy L. Frankel
- Topics
- MicroRNA in disease regulation (15 papers)Cancer-related molecular mechanisms research (7 papers)Circular RNAs in diseases (6 papers)
- 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
- Molecular Biology 2.0k
- Cancer Research 1.7k
- Epidemiology 398
- Immunology 279
- Hepatology 260
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 of co-authors of Shu‐Hao Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Hao Hsu. A scholar is included among the top collaborators of Shu‐Hao Hsu 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 Shu‐Hao Hsu. Shu‐Hao Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 15 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 103 | |
| 8 | 26 | |
| 9 | 35 | |
| 10 | 97 | |
| 11 | 129 | |
| 12 | 27 | |
| 13 | The Biological Functions of miR-122 and its Therapeutic Application in Liver Cancer | 1 |
| 14 | Essential metabolic, anti-inflammatory, and anti-tumorigenic functions of miR-122 in liverbreakdown → | 623 |
| 15 | 20 | |
| 16 | 58 | |
| 17 | 411 | |
| 18 | 4 | |
| 19 | HLA associations with chemically defined ragweed pollen components. | 5 |
| 20 | CML target determinant segregating independently of HLA in an old-order Amish family. | 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) and Circular RNAs in diseases (6 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 Journal of Biological Chemistry, Journal of Clinical Investigation and Molecular Cell.
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.