Wu Wu

512 citations
27 papers · 340 · h-index 10

Impact in

Papers in

    • RNA modifications and cancer 6
    • Cancer-related gene regulation 3
    • Circular RNAs in diseases 2
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 6

Wu Wu

27 papers receiving 333 citations

Peers

Wu Wu
Comparison fields: 5 of 89
  • Cancer Research 105
  • Global and Planetary Change 95
  • Molecular Biology 161
  • Ecology 43
  • Health, Toxicology and Mutagenesis 20
Replace Zhonglin Tang with:
Zhonglin Tang China
Florian Mertes Germany
Sujani Madhurika Kodagoda Gamage Australia
Jing Feng China
Xiaoping Wei China
Tomonori Sato Japan
Qiankun Niu China
Lixue Yang China
Haoxue Wang China
Jennifer Emery United States
Wu Wu relative to Zhonglin Tang China Zhonglin Tang's profile →
Citations per field
00.5×1.5×
Zhonglin Tang · 1×
Citations per year

Countries citing papers authored by Wu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202355
2 202249
3 202136
4 202228
5 202223
6 202220
7 199520
8 202114
9 202212
10 202110
11 20158
12 20237
13 20227
14 19967
15 20217
16 20236
17 20226
18 20225
19 20214
20 20234

About Wu Wu

Wu Wu is a scholar working on Molecular Biology, Cancer Research, Plant Science, Oncology and Food Science, having authored 27 papers that have together received 340 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (6 papers), Proteins in Food Systems (3 papers), Cancer-related gene regulation (3 papers), Phytase and its Applications (3 papers), Environmental Changes in China (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (105 citations), Global and Planetary Change (95 citations), Molecular Biology (161 citations), Ecology (43 citations) and Health, Toxicology and Mutagenesis (20 citations). Wu Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhijie Wang, Yang Zhao, Lifei Yu, Shuo Chen, Xi Chen, Qianhui Li, Zhu Zhu, M.E. Kunkel, Xin Liu and Yuping Du. Their work appears in journals such as Frontiers in Oncology, Cell Death Discovery, Journal of the Science of Food and Agriculture, Ecological Indicators and Journal of Cellular and Molecular Medicine.

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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