Darrell Wu

828 citations
13 papers · 650 · h-index 9

Impact in

Papers in

    • Aortic Disease and Treatment Approaches 7
    • Aortic aneurysm repair treatments 2
    • Pulmonary Hypertension Research and Treatments 1
    • Abdominal vascular conditions and treatments 1
    • Lymphatic Disorders and Treatments 1
    • Infectious Aortic and Vascular Conditions 1
    • Kawasaki Disease and Coronary Complications 1

Darrell Wu

13 papers receiving 647 citations

Peers

Darrell Wu
Comparison fields: 5 of 53
  • Pulmonary and Respiratory Medicine 349
  • Cardiology and Cardiovascular Medicine 89
  • Immunology 81
  • Surgery 144
  • Cancer Research 42
Replace Qingle Li with:
Qingle Li China
Aditya S. Shirali United States
Valentina Galuppo Spain
Marion Morvan France
Kazuki Tatsumi Japan
Hong-zhi Bai Japan
Steven M. Vogel United States
Liang Du United States
Ning-Yuan Chen United States
Thanos Sioris Finland
Darrell Wu relative to Qingle Li China Qingle Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Darrell Wu

Since Specialization
Citations

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

Fields of papers citing papers by Darrell Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2013177
2 202099
3 201784
4 201283
5 201765
6 201448
7 201344
8 201223
9 201412
10 20176
11 20186
12 20142
13 20191

About Darrell Wu

Darrell Wu is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 13 papers that have together received 650 indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (7 papers), Aortic aneurysm repair treatments (2 papers), Abdominal vascular conditions and treatments (1 paper), Lymphatic Disorders and Treatments (1 paper), Pulmonary Hypertension Research and Treatments (1 paper), Infectious Aortic and Vascular Conditions (1 paper), Kawasaki Disease and Coronary Complications (1 paper) and Infective Endocarditis Diagnosis and Management (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (349 citations), Cardiology and Cardiovascular Medicine (89 citations), Immunology (81 citations), Surgery (144 citations) and Cancer Research (42 citations). Darrell Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Joseph S. Coselli, Scott A. LeMaire, Ying H. Shen, Ludivine Russell, Pingping Ren, Dianna M. Milewicz, Sili Zou, Lin Zhang, Lin Zhang and Charles G. Minard. Their work appears in journals such as Journal of Surgical Research, The Annals of Thoracic Surgery, Seminars in Thoracic and Cardiovascular Surgery, Arteriosclerosis Thrombosis and Vascular Biology and Scientific Reports.

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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