Ying-Yi Kuo
Impact in
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- Pluripotent Stem Cells Research
- Single-cell and spatial transcriptomics
- CRISPR and Genetic Engineering
- Congenital heart defects research
- Renal and related cancers
- Epigenetics and DNA Methylation
Papers in
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- Pluripotent Stem Cells Research 3
- Single-cell and spatial transcriptomics 3
- Congenital heart defects research 2
- Renal and related cancers 2
- CRISPR and Genetic Engineering 1
- Wnt/β-catenin signaling in development and cancer 1
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- Cell Adhesion Molecules Research 1
- Co-authors
- Dana Pe’er (3 shared papers)Deanna M. Church (2 shared papers)Manu N. Setty (3 shared papers)Vidur Garg (4 shared papers)Stéphane C. Boutet (2 shared papers)Pamela A. Hoodless (2 shared papers)Anna‐Katerina Hadjantonakis (8 shared papers)Sonja Nowotschin (5 shared papers)
- Journals
- Developmental Cell (2 papers)eLife (1 paper)Science (1 paper)Nature (1 paper)Science Immunology (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Ying-Yi Kuo
6 papers receiving 325 citations
Peers
Comparison fields: 5 of 49
- Molecular Biology 262
- Hepatology 27
- Biophysics 20
- Cancer Research 29
- Aging 3
Countries citing papers authored by Ying-Yi Kuo
This map shows the geographic impact of Ying-Yi Kuo'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 Ying-Yi Kuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Yi Kuo more than expected).
Fields of papers citing papers by Ying-Yi Kuo
This network shows the impact of papers produced by Ying-Yi Kuo. 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 Ying-Yi Kuo. The network helps show where Ying-Yi Kuo may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying-Yi Kuo, 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 | 2019 | 268 | |
| 2 | 2020 | 53 | |
| 3 | 2025 | 1 | |
| 4 | 2026 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 0 |
About Ying-Yi Kuo
Ying-Yi Kuo is a scholar working on Molecular Biology, Immunology and Allergy, Hepatology, Cell Biology and Public Health, Environmental and Occupational Health, having authored 8 papers that have together received 325 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (3 papers), Single-cell and spatial transcriptomics (3 papers), Congenital heart defects research (2 papers), Renal and related cancers (2 papers), CRISPR and Genetic Engineering (1 paper), Pancreatic function and diabetes (1 paper), Cell Adhesion Molecules Research (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Molecular Biology (262 citations), Hepatology (27 citations), Biophysics (20 citations), Cancer Research (29 citations) and Aging (3 citations). Ying-Yi Kuo has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Dana Pe’er, Deanna M. Church, Manu N. Setty, Vidur Garg, Stéphane C. Boutet, Pamela A. Hoodless, Anna‐Katerina Hadjantonakis, Sonja Nowotschin, Néstor Saiz and Roshan Sharma. Their work appears in journals such as Developmental Cell, eLife, Science, Nature and Science Immunology.
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.