David Wu

3.8k citations
44 papers · 2.8k · h-index 26

Impact in

Papers in

    • RNA Interference and Gene Delivery 3
    • RNA Research and Splicing 3
    • Cellular Mechanics and Interactions 3
    • Zebrafish Biomedical Research Applications 3

David Wu

43 papers receiving 2.8k citations

Peers

David Wu
Comparison fields: 5 of 146
  • Structural Biology 107
  • Biophysics 328
  • Cell Biology 423
  • Renewable Energy, Sustainability and the Environment 283
  • Molecular Biology 1.1k
Replace Tao Huang with:
Tao Huang China
Gert‐Jan Kremers Netherlands
Jesse Aaron United States
Robert Ros United States
Marisa L. Martin-Fernandez United Kingdom
Giuseppe Chirico Italy
Ying Hu United States
Sapun H. Parekh United States
Jiajie Diao United States
Patrizio Candeloro Italy
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Citations per field
00.5×3.2×
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Citations per year

Countries citing papers authored by David Wu

Since Specialization
Citations

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

Fields of papers citing papers by David Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011328
2 2010264
3 2009251
4 2004234
5 2012153
6 2017140
7 2019137
8 2016130
9 2020125
10 2009119
11 200894
12 201191
13 200573
14 202067
15 201756
16 201254
17 201853
18 201748
19 202147
20 201344

About David Wu

David Wu is a scholar working on Molecular Biology, Cell Biology, Biomedical Engineering, Ecology and Biophysics, having authored 44 papers that have together received 2.8k indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), RNA Interference and Gene Delivery (3 papers), RNA Research and Splicing (3 papers), COVID-19 Clinical Research Studies (3 papers), Cellular Mechanics and Interactions (3 papers), Zebrafish Biomedical Research Applications (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Structural Biology (107 citations), Biophysics (328 citations), Cell Biology (423 citations), Renewable Energy, Sustainability and the Environment (283 citations) and Molecular Biology (1.1k citations). David Wu has collaborated with scholars based in United States, Taiwan and France. Frequent co-authors include Scott E. Fraser, Yun Fang, Konstantin G. Birukov, Periklis Pantazis, James R. Maloney, Julien Vermot, Zhuangqun Huang, Tianquan Lian, Laurens Mets and Xiaohui Qu. Their work appears in journals such as Proceedings of the National Academy of Sciences, American Journal of Respiratory and Critical Care Medicine, Comprehensive physiology, Developmental Cell and Nano Letters.

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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