Hsiang–Po Huang
- Hepatology top 2%
- Liver physiology and pathology 7
- Surgery top 2%
- Pancreatic function and diabetes 12
- Genetics top 2%
- Genetics and Neurodevelopmental Disorders 6
- Molecular Biology top 5%
- Pluripotent Stem Cells Research 9
- CRISPR and Genetic Engineering 6
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- Cell Adhesion Molecules Research 8
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- Nuclear Receptors and Signaling 5
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- Lysosomal Storage Disorders Research 4
- Co-authors
- Ming‐Jer TsaiFrancisco J. NayaAndrew B. LeiterYuhong QiuHiroyuki MutohFrancesco J. DeMayoPei‐Jer ChenKuen‐Feng Chen
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Hsiang–Po Huang
63 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Endocrinology, Diabetes and Metabolism 739
- Hepatology 314
- Surgery 1.5k
- Genetics 931
- Molecular Biology 1.8k
Countries citing papers authored by Hsiang–Po Huang
This map shows the geographic impact of Hsiang–Po Huang'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 Hsiang–Po Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiang–Po Huang more than expected).
Fields of papers citing papers by Hsiang–Po Huang
This network shows the impact of papers produced by Hsiang–Po Huang. 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 Hsiang–Po Huang. The network helps show where Hsiang–Po Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hsiang–Po Huang, 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 | 5 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 34 | |
| 8 | 2022 | 4 | |
| 9 | 2020 | 7 | |
| 10 | 2020 | 34 | |
| 11 | 2015 | 118 | |
| 12 | 2012 | 40 | |
| 13 | 2012 | 26 | |
| 14 | 2011 | 6 | |
| 15 | 2011 | 80 | |
| 16 | 2011 | 26 | |
| 17 | 2010 | 33 | |
| 18 | 2010 | 24 | |
| 19 | 2002 | 62 | |
| 20 | 2000 | 235 |
About Hsiang–Po Huang
Hsiang–Po Huang is a scholar working on Immunology and Allergy, Hepatology and Cellular and Molecular Neuroscience, having authored 63 papers that have together received 3.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Pluripotent Stem Cells Research (9 papers), Cell Adhesion Molecules Research (8 papers), Liver physiology and pathology (7 papers), CRISPR and Genetic Engineering (6 papers), Genetics and Neurodevelopmental Disorders (6 papers), Nuclear Receptors and Signaling (5 papers) and Lysosomal Storage Disorders Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (739 citations), Hepatology (314 citations) and Surgery (1.5k citations). Hsiang–Po Huang has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Ming‐Jer Tsai, Francisco J. Naya, Andrew B. Leiter, Yuhong Qiu, Hiroyuki Mutoh, Francesco J. DeMayo, Pei‐Jer Chen, Kuen‐Feng Chen, Khoi Chu and Chung-Wai Shiau. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.