Yaoyao Wu

1.8k total citations · 1 hit paper
41 papers, 766 citations indexed

About

Yaoyao Wu is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Yaoyao Wu has authored 41 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 13 papers in Plant Science and 6 papers in Cancer Research. Recurrent topics in Yaoyao Wu's work include Cancer-related molecular mechanisms research (5 papers), Plant Disease Resistance and Genetics (5 papers) and Plant Molecular Biology Research (5 papers). Yaoyao Wu is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Plant Disease Resistance and Genetics (5 papers) and Plant Molecular Biology Research (5 papers). Yaoyao Wu collaborates with scholars based in China, United States and Switzerland. Yaoyao Wu's co-authors include Zuoxu Fan, Renya Zhan, Jian Shen, Tao Ji, Yameng Liang, Cheng Huang, Xufeng Wang, Guanghui Xu, Qiuyue Chen and Feng Tian and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Yaoyao Wu

37 papers receiving 752 citations

Hit Papers

The Taxus genome provides insights into paclitaxel biosyn... 2021 2026 2022 2024 2021 50 100 150

Peers

Yaoyao Wu
Comparison fields: 5 of 98
  • Plant Science 360
  • Molecular Biology 328
  • Genetics 189
  • Psychiatry and Mental health 68
  • Pharmacology 49
Replace Mengying Liu with:
Mengying Liu China
Yongmei Zhou China
Ghazala Kaukab Raja Pakistan
Werner Giehl Glanzner Brazil
Ana da Silva Lédo Brazil
Haibin Wu China
Vedbar S. Khadka United States
Yanwei Cheng China
Yun Jiao China
Mengying Liu China View profile →
Citations per field, relative to Yaoyao Wu
Yaoyao Wu · 1×
Citations per year, relative to Yaoyao Wu
Yaoyao Wu · 1×

Countries citing papers authored by Yaoyao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yaoyao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaoyao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yaoyao Wu. A scholar is included among the top collaborators of Yaoyao Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yaoyao Wu. Yaoyao Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 1
4 2
5 2
6 1
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8 10
9 3
10 8
11 4
12 4
13 2
14 8
15 5
16 8
17 1
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The Taxus genome provides insights into paclitaxel biosynthesis breakdown →
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19 68
20 106

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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