Yau‐Hung Chen

8.7k citations
95 papers · 2.2k · h-index 27

Impact in

    • Zebrafish Biomedical Research Applications
    • Developmental Biology and Gene Regulation
    • Congenital heart defects research
    • Muscle Physiology and Disorders
    • RNA Research and Splicing

Papers in

    • Developmental Biology and Gene Regulation 12
    • Congenital heart defects research 7
    • Muscle Physiology and Disorders 7
    • RNA Research and Splicing 6
    • Epigenetics and DNA Methylation 4
    • Zebrafish Biomedical Research Applications 21

Yau‐Hung Chen

93 papers receiving 2.2k citations

Peers

Yau‐Hung Chen
Comparison fields: 5 of 132
  • Cell Biology 381
  • Molecular Biology 1.0k
  • Physiology 55
  • Cancer Research 152
  • Toxicology 36
Replace Enzo Spisni with:
Enzo Spisni Italy
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Xiaoyu Li China
Martine Torrès United States
Minsoo Noh South Korea
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Sun Hee Lee South Korea
Vincenza Dolce Italy
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Yau‐Hung Chen relative to Enzo Spisni Italy Enzo Spisni's profile →
Citations per field
00.5×1.5×
Enzo Spisni · 1×
Citations per year

Countries citing papers authored by Yau‐Hung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yau‐Hung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yau‐Hung Chen. 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 Yau‐Hung Chen. The network helps show where Yau‐Hung Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017203
2 2011158
3 2007120
4 200685
5 200883
6 201280
7 200774
8 200074
9 200667
10 201263
11 201151
12 201343
13 201542
14 200942
15 201240
16 201537
17 200637
18 200236
19 201035
20 201434

About Yau‐Hung Chen

Yau‐Hung Chen is a scholar working on Molecular Biology, Cell Biology, Genetics, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 95 papers that have together received 2.2k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (21 papers), Developmental Biology and Gene Regulation (12 papers), Congenital heart defects research (7 papers), Muscle Physiology and Disorders (7 papers), Nephrotoxicity and Medicinal Plants (7 papers), RNA Research and Splicing (6 papers), Pregnancy and preeclampsia studies (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cell Biology (381 citations), Molecular Biology (1.0k citations), Physiology (55 citations), Cancer Research (152 citations) and Toxicology (36 citations). Yau‐Hung Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Huai‐Jen Tsai, Yun‐Hsin Wang, Chi‐Chung Wen, Chi‐Yuan Chou, Cheng‐Yung Lin, Chiao‐Yin Sun, David Moses, Wei‐Li Chen, Huey-Jen Tsay and Min-Han Lin. Their work appears in journals such as Molecules, PLoS ONE, Developmental Dynamics, International Journal of Molecular Sciences and Environmental Toxicology.

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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