Chia‐Ying Chu

2.1k citations
21 papers · 1.7k indexed · h-index 15

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Virology top 5%
    • HIV Research and Treatment

Papers in

    • MicroRNA in disease regulation 8
    • RNA Research and Splicing 7
    • RNA Interference and Gene Delivery 6
    • Advanced biosensing and bioanalysis techniques 4
    • RNA modifications and cancer 3
    • Extracellular vesicles in disease 2

Chia‐Ying Chu

20 papers receiving 1.7k citations

Peers

Chia‐Ying Chu
Comparison fields: 5 of 85
  • Cancer Research 661
  • Virology 148
  • Molecular Biology 1.4k
  • Immunology 203
  • Aging 11
Replace Jon Karpilow with:
Jon Karpilow United States
Khalil Arar France
Elena Zaitseva United States
Phong Trang United States
Julian J. O’Rear United States
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Matthew C. Biery United States
Elisabeth Schwarz Germany
Gregor Obernosterer Austria
Ming-Jie Li United States
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Citations per field
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Citations per year

Countries citing papers authored by Chia‐Ying Chu

Since Specialization
Citations

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

Fields of papers citing papers by Chia‐Ying Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia‐Ying Chu. 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 Chia‐Ying Chu. The network helps show where Chia‐Ying Chu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20236
4 20181
5 20184
6 201722
7 201715
8 201437
9 201422
10 201319
11 20107
12 201089
13 2009320
14 200874
15 2007124
16 2006426
17 2005106
18 200525
19 2004308
20 200440

About Chia‐Ying Chu

Chia‐Ying Chu is a scholar working on Cancer Research, Molecular Biology, Virology, Immunology and Cell Biology, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), RNA Research and Splicing (7 papers), RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA modifications and cancer (3 papers), Extracellular vesicles in disease (2 papers), Invertebrate Immune Response Mechanisms (2 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Cancer Research (661 citations), Virology (148 citations), Molecular Biology (1.4k citations), Immunology (203 citations) and Aging (11 citations). Chia‐Ying Chu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Tariq M. Rana, Chih‐Chung Lu, Akbar Ali, Ya‐Lin Chiu, Hong Cao, Hong Cao, Robin Nathans, Anna Serquiña, Kirk Brown and Zhonghan Li. Their work appears in journals such as Scientific Reports, Nature Structural & Molecular Biology, RNA, Journal of Cellular Physiology and Retrovirology.

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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