Youjun Wu

1.5k citations
56 papers · 1.1k · h-index 20

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Youjun Wu

53 papers receiving 1.1k citations

Peers

Youjun Wu
Comparison fields: 5 of 109
  • Aging 63
  • Cancer Research 142
  • Molecular Biology 664
  • Cell Biology 124
  • Developmental Neuroscience 29
Replace Wenjian Ma with:
Wenjian Ma China
Paraskevi Kritsiligkou United Kingdom
Carla Real Portugal
Lei Xue China
Jung Hwan Kim United States
Nina A. Bonekamp Germany
Servet Özcan Türkiye
Chaim Wachtel Israel
Jenny Yan United States
Fiammetta Vernı̀ Italy
Youjun Wu relative to Wenjian Ma China Wenjian Ma's profile →
Citations per field
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Wenjian Ma · 1×
Citations per year

Countries citing papers authored by Youjun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Youjun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010100
2 201575
3 201556
4 201549
5 200946
6
Hsa-miR-206 represses the proliferation and invasion of breast cancer cells by targeting Cx43.
201546
7 202041
8 201839
9 201639
10 202233
11 202231
12 201330
13 201129
14 202027
15 201127
16 201327
17 202425
18 202024
19 201522
20 201620

About Youjun Wu

Youjun Wu is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Cancer Research, Aging and Materials Chemistry, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (6 papers), Organic Light-Emitting Diodes Research (5 papers), CRISPR and Genetic Engineering (5 papers), Organic Electronics and Photovoltaics (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Aging (63 citations), Cancer Research (142 citations), Molecular Biology (664 citations), Cell Biology (124 citations) and Developmental Neuroscience (29 citations). Youjun Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Erik E. Griffin, Xiaolu Qu, Shanjin Huang, Naizhi Chen, Ruihui Zhang, Yang Zhou, Jun Zhang, Sulin Ren, Yan Jin and Hongjun Shi. Their work appears in journals such as Biological Trace Element Research, Dyes and Pigments, Current Molecular Medicine, Molecular Biology of the Cell and Angewandte Chemie International Edition.

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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