Daniel S. Wu

1.9k total citations
13 papers, 1.4k citations indexed

About

Daniel S. Wu is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Geriatrics and Gerontology. According to data from OpenAlex, Daniel S. Wu has authored 13 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 6 papers in Surgery and 5 papers in Geriatrics and Gerontology. Recurrent topics in Daniel S. Wu's work include Cardiac, Anesthesia and Surgical Outcomes (8 papers), Frailty in Older Adults (5 papers) and Knee injuries and reconstruction techniques (3 papers). Daniel S. Wu is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (8 papers), Frailty in Older Adults (5 papers) and Knee injuries and reconstruction techniques (3 papers). Daniel S. Wu collaborates with scholars based in United States. Daniel S. Wu's 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 and has published in prestigious journals such as Annals of Surgery, The American Journal of Sports Medicine and The American Journal of Surgery.

In The Last Decade

Daniel S. Wu

13 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel S. Wu United States 10 829 722 633 339 209 13 1.4k
Lauren Pointer United States 10 536 0.6× 535 0.7× 624 1.0× 201 0.6× 156 0.7× 13 1.2k
Purvi P. Patel United States 7 1.0k 1.2× 783 1.1× 802 1.3× 447 1.3× 106 0.5× 21 1.6k
C.L. DUNN United States 10 450 0.5× 488 0.7× 359 0.6× 183 0.5× 183 0.9× 10 843
Houman Javedan United States 15 650 0.8× 724 1.0× 848 1.3× 207 0.6× 285 1.4× 31 1.5k
Javier Ortíz Spain 13 332 0.4× 567 0.8× 541 0.9× 187 0.6× 230 1.1× 31 1.3k
Bardiya Zangbar United States 24 504 0.6× 400 0.6× 932 1.5× 169 0.5× 187 0.9× 73 1.9k
Lyndsay Pearce United Kingdom 17 320 0.4× 384 0.5× 515 0.8× 165 0.5× 88 0.4× 46 959
Sun‐wook Kim South Korea 13 597 0.7× 286 0.4× 242 0.4× 455 1.3× 48 0.2× 42 1.1k
Jacqueline N. Watts Australia 4 414 0.5× 369 0.5× 391 0.6× 180 0.5× 48 0.2× 5 712
Sheila M McNallan United States 14 354 0.4× 1.0k 1.4× 354 0.6× 260 0.8× 25 0.1× 20 1.5k

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 of co-authors of Daniel S. Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Wu. A scholar is included among the top collaborators of Daniel S. 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 Daniel S. Wu. Daniel S. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
2.
Teng, Hsiang‐Ling, Lauren Tufts, Daniel S. Wu, et al.. (2017). Biomechanical Factors Associated With Pain and Symptoms Following Anterior Cruciate Ligament Injury and Reconstruction. PM&R. 10(1). 56–63. 13 indexed citations
3.
Teng, Hsiang‐Ling, Daniel S. Wu, Favian Su, et al.. (2017). Gait Characteristics Associated With a Greater Increase in Medial Knee Cartilage T and T2 Relaxation Times in Patients Undergoing Anterior Cruciate Ligament Reconstruction. The American Journal of Sports Medicine. 45(14). 3262–3271. 64 indexed citations
4.
Kumar, Deepak, Favian Su, Daniel S. Wu, et al.. (2017). Frontal Plane Knee Mechanics and Early Cartilage Degeneration in People With Anterior Cruciate Ligament Reconstruction: A Longitudinal Study. The American Journal of Sports Medicine. 46(2). 378–387. 52 indexed citations
5.
Chiem, Alan, et al.. (2014). Pelvic ultrasonography and length of stay in the ED: an observational study. The American Journal of Emergency Medicine. 32(12). 1464–1469. 18 indexed citations
6.
Jones, Teresa S., C.L. DUNN, Daniel S. Wu, et al.. (2013). Relationship Between Asking an Older Adult About Falls and Surgical Outcomes. JAMA Surgery. 148(12). 1132–1132. 58 indexed citations
7.
Robinson, Thomas N., Daniel S. Wu, Lauren Pointer, et al.. (2013). Simple frailty score predicts postoperative complications across surgical specialties. The American Journal of Surgery. 206(4). 544–550. 369 indexed citations
8.
Robinson, Thomas N., Daniel S. Wu, Angela Sauaia, et al.. (2013). Slower Walking Speed Forecasts Increased Postoperative Morbidity and 1-Year Mortality across Surgical Specialties. Annals of Surgery. 258(4). 582–590. 133 indexed citations
9.
Robinson, Thomas N., Daniel S. Wu, Lauren Pointer, C.L. DUNN, & Marc Moss. (2012). Preoperative Cognitive Dysfunction Is Related to Adverse Postoperative Outcomes in the Elderly. Journal of the American College of Surgeons. 215(1). 12–17. 174 indexed citations
10.
Jones, Teresa S., Daniel S. Wu, & Thomas N. Robinson. (2012). Who would have thought? Asking an older adult if they have fallen predicts surgical outcomes. Journal of the American College of Surgeons. 215(3). S56–S56. 2 indexed citations
11.
Robinson, Thomas N., Daniel S. Wu, Gregory V. Stiegmann, & Marc Moss. (2011). Frailty predicts increased hospital and six-month healthcare cost following colorectal surgery in older adults. The American Journal of Surgery. 202(5). 511–514. 218 indexed citations
12.
Robinson, Thomas N., Jeffrey I. Wallace, Daniel S. Wu, et al.. (2011). Accumulated Frailty Characteristics Predict Postoperative Discharge Institutionalization in the Geriatric Patient. Journal of the American College of Surgeons. 213(1). 37–42. 277 indexed citations
13.
Wu, Daniel S. & Thomas N. Robinson. (2010). Pre-operative cognitive dysfunction is related to adverse post-operative outcomes in the elderly. Journal of the American College of Surgeons. 211(3). S58–S58. 3 indexed citations

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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