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
- Gene Regulatory Network Analysis
- Genomics and Chromatin Dynamics
- Bioinformatics and Genomic Networks
Papers in
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- Bioinformatics and Genomic Networks 2
- Gene Regulatory Network Analysis 2
- Single-cell and spatial transcriptomics 1
- Genetics 3
- Genetic and phenotypic traits in livestock 1
- Co-authors
- Minoru S.H. Ko (2 shared papers)Hien G. Hoang (1 shared paper)Fred E. Indig (1 shared paper)Carole A. Stagg (1 shared paper)Robert P. Wersto (1 shared paper)Geppino Falco (1 shared paper)Michal Zalzman (1 shared paper)Marshall Thomas (1 shared paper)
- Journals
- iScience (1 paper)Computational and Structural Biotechnology Journal (1 paper)European Journal of Human Genetics (1 paper)American Journal of Hematology (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United StatesTaiwanItaly
In The Last Decade
Hsih‐Te Yang
11 papers receiving 508 citations
Peers
Comparison fields: 5 of 85
- Aging 12
- Molecular Biology 432
- Physiology 87
- Cancer Research 38
- Computational Theory and Mathematics 39
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 | 336 | |
| 2 | 2016 | 60 | |
| 3 | 2007 | 46 | |
| 4 | 2007 | 33 | |
| 5 | 2007 | 11 | |
| 6 | 2019 | 9 | |
| 7 | 2012 | 7 | |
| 8 | 2022 | 4 | |
| 9 | 2012 | 4 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 2 | |
| 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 514 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Cancer Genomics and Diagnostics (2 papers), Bioinformatics and Genomic Networks (2 papers), Gene Regulatory Network Analysis (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), MicroRNA in disease regulation (1 paper), Genetic and phenotypic traits in livestock (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Aging (12 citations), Molecular Biology (432 citations), Physiology (87 citations), Cancer Research (38 citations) and Computational Theory and Mathematics (39 citations). Hsih‐Te Yang has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Minoru S.H. Ko, Hien G. Hoang, Fred E. Indig, Carole A. Stagg, Robert P. Wersto, Geppino Falco, Michal Zalzman, Marshall Thomas, Lioudmila V. Sharova and Akira Nishiyama. Their work appears in journals such as iScience, Computational and Structural Biotechnology Journal, European Journal of Human Genetics, American Journal of Hematology and BMC Bioinformatics.
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.