Luyao Wu

464 citations
24 papers · 304 · h-index 10

Impact in

Papers in

    • RNA modifications and cancer 3
    • Wnt/β-catenin signaling in development and cancer 2
    • Research in Cotton Cultivation 6
    • Plant Virus Research Studies 2

Luyao Wu

22 papers receiving 300 citations

Peers

Luyao Wu
Comparison fields: 5 of 73
  • Cancer Research 118
  • Water Science and Technology 28
  • Molecular Biology 139
  • Health, Toxicology and Mutagenesis 24
  • Oceanography 19
Replace Cong Wen with:
Cong Wen China
Antoine Buetti‐Dinh Switzerland
Peng Bai China
Lingbin Wang China
Qingnan Yu China
Ruijie Wang China
Hongkai Zhang China
Julia O. Misiorek Poland
Kohei Ohnishi Japan
Luyao Wu relative to Cong Wen China Cong Wen's profile →
Citations per field
00.5×
Cong Wen · 1×
Citations per year

Countries citing papers authored by Luyao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Luyao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201964
2 202232
3 202027
4 202326
5 202224
6 202318
7 202017
8 202112
9 201811
10 202110
11 20218
12 20247
13 20217
14 20217
15 20227
16 20227
17 20225
18 20225
19 20235
20 20253

About Luyao Wu

Luyao Wu is a scholar working on Molecular Biology, Plant Science, Cancer Research, Oncology and Water Science and Technology, having authored 24 papers that have together received 304 indexed citations. Recurring topics across this work include Research in Cotton Cultivation (6 papers), Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (3 papers), MicroRNA in disease regulation (2 papers), Water Quality Monitoring Technologies (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Plant Virus Research Studies (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (118 citations), Water Science and Technology (28 citations), Molecular Biology (139 citations), Health, Toxicology and Mutagenesis (24 citations) and Oceanography (19 citations). Luyao Wu has collaborated with scholars based in China, United States and France. Frequent co-authors include Meiping Shen, Yu Ding, Xi Zhuang, Yan Si, Hao Zhang, Weiguo Lü, Junfen Xu, Jian Zou, Huaijing Wang and Yuyang Li. Their work appears in journals such as Frontiers in Plant Science, Molecular Oncology, International Journal of Medical Sciences, Scientific Reports and Cell Death and Disease.

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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