Victoria Wu

2.4k total citations
70 papers, 2.0k citations indexed

About

Victoria Wu is a scholar working on Biomedical Engineering, Molecular Biology and Biomaterials. According to data from OpenAlex, Victoria Wu has authored 70 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Biomedical Engineering, 16 papers in Molecular Biology and 14 papers in Biomaterials. Recurrent topics in Victoria Wu's work include Bone Tissue Engineering Materials (21 papers), Nanoparticle-Based Drug Delivery (8 papers) and Nanoparticles: synthesis and applications (5 papers). Victoria Wu is often cited by papers focused on Bone Tissue Engineering Materials (21 papers), Nanoparticle-Based Drug Delivery (8 papers) and Nanoparticles: synthesis and applications (5 papers). Victoria Wu collaborates with scholars based in United States, Serbia and Canada. Victoria Wu's co-authors include Vuk Uskoković, Greg J. Beitel, Shreya Ghosh, Joost Schulte, Alexander Hirschi, Ulrich Tepaß, Dorothy J Saville, Thomas Rades, Nenad Ignjatović and Dragan Uskoković and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Cell Biology.

In The Last Decade

Victoria Wu

67 papers receiving 1.9k citations

Peers

Victoria Wu
Comparison fields: 5 of 139
  • Biomedical Engineering 902
  • Molecular Biology 526
  • Biomaterials 408
  • Materials Chemistry 337
  • Surgery 208
Replace Bo Yu with:
Bo Yu China
Ping Zhou China
Shigeki Suzuki Japan
Pamela Mozetic Italy
Daniel Gallego‐Perez United States
Masanori Okamoto Japan
Kyobum Kim South Korea
Mirren Charnley Australia
Gen He China
Sang Hoon Jeong South Korea
Bo Yu China View profile →
Citations per field, relative to Victoria Wu
Victoria Wu · 1×
Citations per year, relative to Victoria Wu
Victoria Wu · 1×

Countries citing papers authored by Victoria Wu

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Wu. A scholar is included among the top collaborators of Victoria 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 Victoria Wu. Victoria 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 5
3 4
4 1
5 10
6 46
7 19
8 2
9 38
10 9
11 73
12 38
13 60
14 25
15 35
16 17
17 39
18 5
19 88
20 33

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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