Daniel S. Wu

1.9k citations
13 papers · 1.4k indexed · h-index 10

Daniel S. Wu

13 papers receiving 1.4k citations

Peers

Daniel S. Wu
Comparison fields: 5 of 77
  • Geriatrics and Gerontology 829
  • Critical Care and Intensive Care Medicine 209
  • Cardiology and Cardiovascular Medicine 722
  • Surgery 633
  • Developmental Neuroscience 58
Replace Lauren Pointer with:
Lauren Pointer United States
Houman Javedan United States
Javier Ortíz Spain
Purvi P. Patel United States
Gavin M. Hamilton Canada
Markus Gosch Germany
Bardiya Zangbar United States
Sun‐wook Kim South Korea
Lyndsay Pearce United Kingdom
C.L. DUNN United States
Daniel S. Wu relative to Lauren Pointer United States Lauren Pointer's profile →
Citations per field
00.5×1.5×
Lauren Pointer · 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-authorship network

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 20221
2 201713
3 201764
4 201752
5 201418
6 201358
7 2013369
8 2013133
9 2012174
10 20122
11 2011218
12 2011277
13 20103

About Daniel S. Wu

Daniel S. Wu is a scholar working on Geriatrics and Gerontology, Critical Care and Intensive Care Medicine, Cardiology and Cardiovascular Medicine, Developmental Neuroscience and Surgery, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (8 papers), Frailty in Older Adults (5 papers), Knee injuries and reconstruction techniques (3 papers), Total Knee Arthroplasty Outcomes (3 papers), Intensive Care Unit Cognitive Disorders (2 papers), Nutrition and Health in Aging (2 papers), Hip and Femur Fractures (2 papers) and Lower Extremity Biomechanics and Pathologies (1 paper). The work is most often cited by research in Geriatrics and Gerontology (829 citations), Critical Care and Intensive Care Medicine (209 citations), Cardiology and Cardiovascular Medicine (722 citations), Surgery (633 citations) and Developmental Neuroscience (58 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, Arek J Wiktor, Jeffrey I. Wallace, Richard B. Souza and Xiaojuan Li. Their work appears in journals such as Journal of the American College of Surgeons, The American Journal of Surgery, The American Journal of Sports Medicine, JAMA Surgery and PM&R.

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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