Daniel S. Wu

1.9k citations
13 papers · 1.5k · h-index 10

Impact in

Papers in

Daniel S. Wu

13 papers receiving 1.4k citations

Peers

Daniel S. Wu
Comparison fields: 5 of 73
  • Geriatrics and Gerontology 680
  • Critical Care and Intensive Care Medicine 168
  • Cardiology and Cardiovascular Medicine 308
  • Surgery 338
  • Developmental Neuroscience 28
Replace C.L. DUNN with:
C.L. DUNN United States
Purvi P. Patel United States
Javier Ortíz Spain
Houman Javedan United States
Sun‐wook Kim South Korea
Enrico Maria Minnella Canada
Berson Augustin Canada
Stacey B. Silberzweig United States
Andrew Tang United States
Homer Yang Canada
Daniel S. Wu relative to C.L. DUNN United States C.L. DUNN's profile →
Citations per field
00.5×1.5×2.3×
C.L. DUNN · 1×
Citations per year

Countries citing papers authored by Daniel S. Wu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2013391
2 2011295
3 2011223
4 2012184
5 2013147
6 201768
7 201365
8 201757
9 201421
10 201713
11 20103
12 20222
13 20122

About Daniel S. Wu

Daniel S. Wu is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology, Critical Care and Intensive Care Medicine and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 1.5k indexed citations. Recurring topics across this work include Frailty in Older Adults (4 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Knee injuries and reconstruction techniques (3 papers), Intensive Care Unit Cognitive Disorders (2 papers), Surgical Simulation and Training (1 paper), Anatomy and Medical Technology (1 paper), Peripheral Nerve Disorders (1 paper) and Hip and Femur Fractures (1 paper). The work is most often cited by research in Geriatrics and Gerontology (680 citations), Critical Care and Intensive Care Medicine (168 citations), Cardiology and Cardiovascular Medicine (308 citations), Surgery (338 citations) and Developmental Neuroscience (28 citations). Daniel S. Wu has collaborated with scholars based in United States. Frequent co-authors include Thomas N. Robinson, Marc Moss, Lauren Pointer, C.L. DUNN, Joseph C. Cleveland, Gregory V. Stiegmann, Jeffrey I. Wallace, Arek J Wiktor, C. Benjamin and Richard B. Souza. Their work appears in journals such as Journal of the American College of Surgeons, The American Journal of Sports Medicine, The American Journal of Surgery, PM&R and Annals of Surgery.

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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