Tim Wu

417 citations
21 papers · 328 · h-index 11

Impact in

Papers in

    • Coronary Interventions and Diagnostics 18
    • Peripheral Artery Disease Management 4
    • Cerebrovascular and Carotid Artery Diseases 8
    • Aortic aneurysm repair treatments 4

Tim Wu

21 papers receiving 317 citations

Peers

Tim Wu
Comparison fields: 5 of 68
  • Biomaterials 89
  • Immunology and Allergy 26
  • Surgery 168
  • Molecular Medicine 16
  • Surfaces, Coatings and Films 20
Replace Yi Si with:
Yi Si China
Ruolin Du China
E. O. Krivkina Russia
Amanda N. Steele United States
Emily Mihalko United States
Christa L. Pawlowski United States
Yumei Qin China
G. Mori Italy
H.P. Wendel Germany
Emily B. Lurier United States
Tim Wu relative to Yi Si China Yi Si's profile →
Citations per field
00.5×2.7×
Yi Si · 1×
Citations per year

Countries citing papers authored by Tim Wu

Since Specialization
Citations

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

Fields of papers citing papers by Tim Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200761
2 201056
3 201126
4 201225
5 202024
6 201417
7 201314
8 201814
9 201612
10 201911
11 201010
12
Drug-eluting stents.
201010
13 20229
14 20189
15 20159
16 20168
17 20195
18 20184
19 20202
20 20161

About Tim Wu

Tim Wu is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Biomaterials and Molecular Biology, having authored 21 papers that have together received 328 indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (18 papers), Cerebrovascular and Carotid Artery Diseases (8 papers), Cardiac Valve Diseases and Treatments (5 papers), Aortic aneurysm repair treatments (4 papers), Peripheral Artery Disease Management (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Cardiac Imaging and Diagnostics (2 papers) and Curcumin's Biomedical Applications (2 papers). The work is most often cited by research in Biomaterials (89 citations), Immunology and Allergy (26 citations), Surgery (168 citations), Molecular Medicine (16 citations) and Surfaces, Coatings and Films (20 citations). Tim Wu has collaborated with scholars based in United States and China. Frequent co-authors include Michael P. Robich, Xiaodong Ma, Roger J. Laham, Stephen McCarthy, Rihong Zhou, Hao Wu, Lixin Zhu, John G. Forte, Joseph A. Delaney and Frank W. Sellke. Their work appears in journals such as Journal of Biomedical Nanotechnology, Journal of Biomedical Materials Research Part A, Journal of Biomedical Materials Research Part B Applied Biomaterials, Science of Advanced Materials and Journal of Surgical Research.

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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