Yeon Koo

458 citations
5 papers · 322 · h-index 5

Impact in

  • Cell Biology top 10%
    • Zebrafish Biomedical Research Applications
    • Hippo pathway signaling and YAP/TAZ
    • Cellular transport and secretion

Papers in

    • Zebrafish Biomedical Research Applications 3
    • Hippo pathway signaling and YAP/TAZ 2
    • Cellular transport and secretion 1
    • Angiogenesis and VEGF in Cancer 2
    • Congenital heart defects research 1
    • Wnt/β-catenin signaling in development and cancer 1
    • Protein Kinase Regulation and GTPase Signaling 1

Yeon Koo

5 papers receiving 320 citations

Peers

Yeon Koo
Comparison fields: 5 of 64
  • Cell Biology 117
  • Aging 9
  • Physiology 19
  • Molecular Biology 201
  • Immunology and Allergy 14
Replace Hyeona Jeon with:
Hyeona Jeon South Korea
Thea L. Willis United Kingdom
Charisse M Orme United States
Hiba Komati Canada
Florence Grise France
Devanarayanan Siva Sankar Switzerland
Maria Chatzifrangkeskou United Kingdom
Tiancheng Fang United States
Jozef P. Bossowski France
Chiara Camillo United States
Yeon Koo relative to Hyeona Jeon South Korea Hyeona Jeon's profile →
Citations per field
00.5×1.5×2.3×
Hyeona Jeon · 1×
Citations per year

Countries citing papers authored by Yeon Koo

Since Specialization
Citations

This map shows the geographic impact of Yeon Koo'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 Yeon Koo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeon Koo more than expected).

Fields of papers citing papers by Yeon Koo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeon Koo. 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 Yeon Koo. The network helps show where Yeon Koo may publish in the future.

Co-authors

The 25 scholars most cited alongside Yeon Koo, 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 Yeon Koo Line = papers co-authored together Yeon Koo links everyone, so they are left out of the graph.

All Works

About Yeon Koo

Yeon Koo is a scholar working on Cell Biology, Molecular Biology, Epidemiology, Infectious Diseases and Organic Chemistry, having authored 5 papers that have together received 322 indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Congenital heart defects research (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Cellular transport and secretion (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Autophagy in Disease and Therapy (1 paper). The work is most often cited by research in Cell Biology (117 citations), Aging (9 citations), Physiology (19 citations), Molecular Biology (201 citations) and Immunology and Allergy (14 citations). Yeon Koo has collaborated with scholars based in United States, Netherlands and Hungary. Frequent co-authors include Ondine Cleaver, Ke Xu, Diana C. Chong, Katherine Luby‐Phelps, Aylwin Ng, Amy L. Juraszek, James F. Amatruda, Ramnik J. Xavier, Yongjie Wei and Beth Levine. Their work appears in journals such as Autophagy, The Journal of Cell Biology, Angiogenesis, Circulation Research and Developmental Dynamics.

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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