Ying-Yi Kuo

545 citations
8 papers · 285 · h-index 2

Impact in

    • 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
    • Liver physiology and pathology

Papers in

    • Congenital heart defects research 3
    • Single-cell and spatial transcriptomics 3
    • Pluripotent Stem Cells Research 3
    • Renal and related cancers 2
    • Developmental Biology and Gene Regulation 2
    • Epigenetics and DNA Methylation 1
    • Cell Adhesion Molecules Research 2

Ying-Yi Kuo

4 papers receiving 285 citations

Peers

Ying-Yi Kuo
Comparison fields: 5 of 47
  • Molecular Biology 232
  • Hepatology 26
  • Biophysics 16
  • Cancer Research 27
  • Aging 3
Replace Orit Rozenblatt‐Rosen with:
Orit Rozenblatt‐Rosen United States
Maria C. Heinz Netherlands
Guojie Zhong United States
Y. Hayashizaki Japan
Darius M. Johnston United States
Caden W. Sweet United States
Yingchi Zhang China
Elena Magnani United Arab Emirates
Karina Vázquez-Arreguín United States
Kyomi J. Igarashi United States
Ying-Yi Kuo relative to Orit Rozenblatt‐Rosen United States Orit Rozenblatt‐Rosen's profile →
Citations per field
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Orit Rozenblatt‐Rosen · 1×
Citations per year

Countries citing papers authored by Ying-Yi Kuo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ying-Yi Kuo Line = papers co-authored together Ying-Yi Kuo links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2019238
2 202045
3 20241
4 20201
5 20250
6 20240
7 20250
8 20250

About Ying-Yi Kuo

Ying-Yi Kuo is a scholar working on Molecular Biology, Immunology and Allergy, Hepatology, Surgery and Public Health, Environmental and Occupational Health, having authored 8 papers that have together received 285 indexed citations. Recurring topics across this work include Congenital heart defects research (3 papers), Single-cell and spatial transcriptomics (3 papers), Pluripotent Stem Cells Research (3 papers), Renal and related cancers (2 papers), Developmental Biology and Gene Regulation (2 papers), Cell Adhesion Molecules Research (2 papers), Liver physiology and pathology (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Molecular Biology (232 citations), Hepatology (26 citations), Biophysics (16 citations), Cancer Research (27 citations) and Aging (3 citations). Ying-Yi Kuo has collaborated with scholars based in United States, Canada and Portugal. Frequent co-authors include Manu Setty, Anna‐Katerina Hadjantonakis, Stéphane C. Boutet, Deanna M. Church, Sonja Nowotschin, Dana Pe’er, Vidur Garg, Pamela A. Hoodless, Roshan Sharma and Claire Simon. Their work appears in journals such as eLife, Developmental Cell, Cell, Nature and Science.

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.

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