Chenyang Wu

594 citations
16 papers · 458 · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • RNA Research and Splicing

Papers in

    • Circular RNAs in diseases 3
    • Receptor Mechanisms and Signaling 2
    • RNA Research and Splicing 2
    • RNA modifications and cancer 2
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 2

Chenyang Wu

14 papers receiving 453 citations

Peers

Chenyang Wu
Comparison fields: 5 of 62
  • Cancer Research 207
  • Molecular Biology 254
  • Sensory Systems 16
  • Oncology 68
  • Cell Biology 44
Replace M. Ángeles Villaronga with:
M. Ángeles Villaronga Spain
Eugenio Zoni Switzerland
Liang Deng China
Matheus Molina Silva Brazil
Rossella Loria Italy
Katrine Zeeberg Italy
Kuan Ning China
Jihu Dong France
Chenyang Wu relative to M. Ángeles Villaronga Spain M. Ángeles Villaronga's profile →
Citations per field
00.5×1.5×2.5×
M. Ángeles Villaronga · 1×
Citations per year

Countries citing papers authored by Chenyang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chenyang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201779
2 201670
3 201650
4 201850
5 201739
6 202437
7 201731
8 202121
9 202117
10 201817
11
Silencing of DUSP6 gene by RNAi-mediation inhibits proliferation and growth in MDA-MB-231 breast cancer cells: an in vitro study.
201516
12 202315
13 202014
14 20232
15 20250
16 20250

About Chenyang Wu

Chenyang Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Immunology, having authored 16 papers that have together received 458 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related Molecular Pathways (2 papers), Receptor Mechanisms and Signaling (2 papers), RNA Research and Splicing (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), RNA modifications and cancer (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (207 citations), Molecular Biology (254 citations), Sensory Systems (16 citations), Oncology (68 citations) and Cell Biology (44 citations). Chenyang Wu has collaborated with scholars based in China, Japan and Switzerland. Frequent co-authors include Hui Xu, Lin Fang, Kaiyao Hua, Bingkun Zhao, Hongming Song, Jialu Song, Deng‐Feng Li, Jiali Jin, Niraj Maskey and Junyong Zhao. Their work appears in journals such as International Journal of Oncology, Oncology Reports, Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry and iScience.

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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