Hsih‐Te Yang
Impact in
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Renal and related cancers
- Genomics and Chromatin Dynamics
- Gene Regulatory Network Analysis
- RNA Research and Splicing
Papers in
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- Gene Regulatory Network Analysis 2
- RNA and protein synthesis mechanisms 1
- Pluripotent Stem Cells Research 1
- Fungal and yeast genetics research 1
- Genetics 3
- Genomics and Rare Diseases 1
- Co-authors
- Minoru S.H. Ko (2 shared papers)Lioudmila V. Sharova (1 shared paper)Carole A. Stagg (1 shared paper)Hien G. Hoang (1 shared paper)Akira Nishiyama (1 shared paper)Marshall Thomas (1 shared paper)Michal Zalzman (1 shared paper)Fred E. Indig (1 shared paper)
- Journals
- Computational and Structural Biotechnology Journal (1 paper)European Journal of Human Genetics (1 paper)Clinical Orthopaedics and Related Research (1 paper)Biochemical and Biophysical Research Communications (1 paper)American Journal of Hematology (1 paper)
- Partner nations
- United StatesTaiwanItaly
In The Last Decade
Hsih‐Te Yang
11 papers receiving 533 citations
Peers
Comparison fields: 5 of 81
- Aging 11
- Molecular Biology 425
- Physiology 89
- Cancer Research 39
- Health Informatics 3
Countries citing papers authored by Hsih‐Te Yang
This map shows the geographic impact of Hsih‐Te Yang'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 Hsih‐Te Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsih‐Te Yang more than expected).
Fields of papers citing papers by Hsih‐Te Yang
This network shows the impact of papers produced by Hsih‐Te Yang. 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 Hsih‐Te Yang. The network helps show where Hsih‐Te Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsih‐Te Yang, 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 | 2010 | 348 | |
| 2 | 2016 | 65 | |
| 3 | 2007 | 47 | |
| 4 | 2007 | 37 | |
| 5 | 2007 | 11 | |
| 6 | 2019 | 11 | |
| 7 | 2012 | 8 | |
| 8 | 2012 | 6 | |
| 9 | 2022 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 3 | |
| 12 | 2025 | 0 |
About Hsih‐Te Yang
Hsih‐Te Yang is a scholar working on Molecular Biology, Genetics, Cancer Research, Genetics and Oncology, having authored 12 papers that have together received 543 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (2 papers), Computational Drug Discovery Methods (2 papers), Gene Regulatory Network Analysis (2 papers), RNA and protein synthesis mechanisms (1 paper), Acute Myeloid Leukemia Research (1 paper), Genomics and Rare Diseases (1 paper), Pluripotent Stem Cells Research (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Aging (11 citations), Molecular Biology (425 citations), Physiology (89 citations), Cancer Research (39 citations) and Health Informatics (3 citations). Hsih‐Te Yang has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Minoru S.H. Ko, Lioudmila V. Sharova, Carole A. Stagg, Hien G. Hoang, Akira Nishiyama, Marshall Thomas, Michal Zalzman, Fred E. Indig, Robert P. Wersto and Geppino Falco. Their work appears in journals such as Computational and Structural Biotechnology Journal, European Journal of Human Genetics, Clinical Orthopaedics and Related Research, Biochemical and Biophysical Research Communications and American Journal of Hematology.
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.