Ching-Yu Chuang

1.3k citations
22 papers · 965 · h-index 16

Impact in

Papers in

Ching-Yu Chuang

22 papers receiving 957 citations

Peers

Ching-Yu Chuang
Comparison fields: 5 of 80
  • Cancer Research 267
  • Developmental Neuroscience 49
  • Molecular Biology 772
  • Cellular and Molecular Neuroscience 113
  • Physiology 19
Replace Pedro C. Silberman with:
Pedro C. Silberman United States
Shuling Zhou China
Ulrich Putz Australia
Claudio Cantù Sweden
Harwin Sidik Singapore
Lisa M. Julian Canada
Chiara Cavazzin Italy
Yupeng Wang China
Heather M. Ames United States
Nicoletta Corbi Italy
Ching-Yu Chuang relative to Pedro C. Silberman United States Pedro C. Silberman's profile →
Citations per field
00.5×1.5×1.9×
Pedro C. Silberman · 1×
Citations per year

Countries citing papers authored by Ching-Yu Chuang

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Yu Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Yu Chuang. 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 Ching-Yu Chuang. The network helps show where Ching-Yu Chuang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017254
2 2011110
3 201181
4 201376
5 201355
6 201553
7 201147
8 201442
9 201239
10 201933
11 201631
12 201728
13 201023
14 201420
15 201215
16 201815
17 201512
18 20189
19
Human pluripotent stem cells: current status and future perspectives.
20089
20 20198

About Ching-Yu Chuang

Ching-Yu Chuang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering, Cancer Research and Physiology, having authored 22 papers that have together received 965 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (14 papers), CRISPR and Genetic Engineering (10 papers), 3D Printing in Biomedical Research (4 papers), RNA Research and Splicing (3 papers), Animal Genetics and Reproduction (2 papers), Genetic Neurodegenerative Diseases (2 papers), Lysosomal Storage Disorders Research (2 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Cancer Research (267 citations), Developmental Neuroscience (49 citations), Molecular Biology (772 citations), Cellular and Molecular Neuroscience (113 citations) and Physiology (19 citations). Ching-Yu Chuang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Hung‐Chih Kuo, Chunying Yu, Wei Chiang, Hong‐Nerng Ho, Hsiang–Po Huang, Hsin‐Fu Chen, Lee Stone, C. L. Chien, Michael Hsiao and Cheng-Fu Kao. Their work appears in journals such as Journal of Biological Chemistry, Human Molecular Genetics, Scientific Reports, Stem Cell Reports and Stem Cell Research & Therapy.

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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