Weiwei Wu

2.9k citations
94 papers · 2.1k · h-index 23

Impact in

Papers in

    • Extracellular vesicles in disease 6
    • Planarian Biology and Electrostimulation 5
    • Epigenetics and DNA Methylation 4
    • Cancer-related molecular mechanisms research 9

Weiwei Wu

84 papers receiving 2.1k citations

Peers

Weiwei Wu
Comparison fields: 5 of 129
  • Cancer Research 263
  • Behavioral Neuroscience 60
  • Molecular Biology 907
  • Biological Psychiatry 30
  • Immunology 211
Replace Seth D. Crosby with:
Seth D. Crosby United States
Takeshi Yoshida Japan
Carmen Sáez Spain
Hiroshi Tamura Japan
Hao Huang China
Christopher M. Colangelo United States
Eun Young Song South Korea
Rabindra Tirouvanziam United States
Charles A. LeDuc United States
Tony Yuen United States
Weiwei Wu relative to Seth D. Crosby United States Seth D. Crosby's profile →
Citations per field
00.5×1.5×2.3×
Seth D. Crosby · 1×
Citations per year

Countries citing papers authored by Weiwei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weiwei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015301
2 2013201
3 2015147
4 2017125
5 2014112
6 2020102
7 201988
8 201354
9 201951
10 201339
11 201938
12 201838
13 202136
14 202134
15 201934
16 202133
17 201332
18 201831
19 201429
20 202029

About Weiwei Wu

Weiwei Wu is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Materials Chemistry, having authored 94 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), Extracellular vesicles in disease (6 papers), Marine Ecology and Invasive Species (6 papers), Genetic and phenotypic traits in livestock (5 papers), Magnetism in coordination complexes (5 papers), Planarian Biology and Electrostimulation (5 papers), Lanthanide and Transition Metal Complexes (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (263 citations), Behavioral Neuroscience (60 citations), Molecular Biology (907 citations), Biological Psychiatry (30 citations) and Immunology (211 citations). Weiwei Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Abdel Elkahloun, Taixing Cui, Xing Li Wang, Hao Xu, Yun Mao, Wei Luo, Shawn M. Burgess, Ying H. Shen, Gaurav K. Varshney and Sukhbir Kaur. Their work appears in journals such as PLoS ONE, Scientific Reports, Animals, International Journal of Molecular Sciences and Frontiers in Genetics.

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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