Samuel Wu

427 total citations
10 papers, 326 citations indexed

About

Samuel Wu is a scholar working on Surgery, Rheumatology and Biomedical Engineering. According to data from OpenAlex, Samuel Wu has authored 10 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Rheumatology and 5 papers in Biomedical Engineering. Recurrent topics in Samuel Wu's work include Knee injuries and reconstruction techniques (7 papers), Total Knee Arthroplasty Outcomes (7 papers) and Lower Extremity Biomechanics and Pathologies (5 papers). Samuel Wu is often cited by papers focused on Knee injuries and reconstruction techniques (7 papers), Total Knee Arthroplasty Outcomes (7 papers) and Lower Extremity Biomechanics and Pathologies (5 papers). Samuel Wu collaborates with scholars based in United States, Russia and France. Samuel Wu's co-authors include Richard B. Souza, Xiaojuan Li, Thomas M. Link, Favian Su, Joan F. Hilton, Lorenzo Nardo, X. Li, Liang Feng, Brian T. Feeley and Sharmila Majumdar and has published in prestigious journals such as The American Journal of Sports Medicine, Osteoarthritis and Cartilage and Journal of Orthopaedic and Sports Physical Therapy.

In The Last Decade

Samuel Wu

9 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Wu United States 7 258 176 160 81 10 10 326
Franz Xaver Koeck Germany 11 269 1.0× 62 0.4× 50 0.3× 50 0.6× 10 1.0× 16 334
Yike Dai China 10 180 0.7× 191 1.1× 31 0.2× 147 1.8× 6 0.6× 27 274
Shinya Yanagisawa Japan 12 261 1.0× 56 0.3× 47 0.3× 100 1.2× 7 0.7× 28 304
Matthew S. Tanaka United States 12 265 1.0× 103 0.6× 194 1.2× 112 1.4× 2 0.2× 18 337
M-P. Hellio Le Graverand United States 6 340 1.3× 242 1.4× 457 2.9× 65 0.8× 14 1.4× 12 502
Belle L. van Meer Netherlands 9 405 1.6× 72 0.4× 117 0.7× 222 2.7× 3 0.3× 16 456
Rafael Thein Israel 10 259 1.0× 52 0.3× 79 0.5× 101 1.2× 7 0.7× 20 316
Nicholas J. Murphy Australia 6 171 0.7× 51 0.3× 88 0.6× 32 0.4× 7 0.7× 21 236
Hidetoshi Ihara Japan 8 238 0.9× 72 0.4× 45 0.3× 166 2.0× 3 0.3× 24 281
K. Emmanuel Austria 9 234 0.9× 85 0.5× 113 0.7× 91 1.1× 12 292

Countries citing papers authored by Samuel Wu

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Wu

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

All Works

10 of 10 papers shown
1.
Wu, Samuel, et al.. (2021). Whole-Spine Magnetic Resonance Imaging. JBJS Reviews. 9(7). 2 indexed citations
2.
Kumar, Deepak, et al.. (2014). Frontal plane knee mechanics and medial cartilage MR relaxation times in individuals with ACL reconstruction: A pilot study. The Knee. 21(5). 881–885. 38 indexed citations
4.
MacLeod, Toran D., Karupppasamy Subburaj, Samuel Wu, et al.. (2014). Magnetic resonance analysis of loaded meniscus deformation: a novel technique comparing participants with and without radiographic knee osteoarthritis. Skeletal Radiology. 44(1). 125–135. 6 indexed citations
5.
Souza, Richard B., et al.. (2014). Cartilage MRI relaxation times after arthroscopic partial medial meniscectomy reveal localized degeneration. Knee Surgery Sports Traumatology Arthroscopy. 23(1). 188–197. 25 indexed citations
6.
Su, Favian, Joan F. Hilton, Lorenzo Nardo, et al.. (2013). Cartilage morphology and T1ρ and T2 quantification in ACL-reconstructed knees: a 2-year follow-up. Osteoarthritis and Cartilage. 21(8). 1058–1067. 119 indexed citations
7.
Thuillier, Daniel, Richard B. Souza, Samuel Wu, et al.. (2013). T Imaging Demonstrates Early Changes in the Lateral Patella in Patients With Patellofemoral Pain and Maltracking. The American Journal of Sports Medicine. 41(8). 1813–1818. 38 indexed citations
8.
Souza, Richard B., Thomas Baum, Samuel Wu, et al.. (2012). Effects of Unloading on Knee Articular Cartilage T1rho and T2 Magnetic Resonance Imaging Relaxation Times: A Case Series. Journal of Orthopaedic and Sports Physical Therapy. 42(6). 511–520. 69 indexed citations
9.
Li, X., Favian Su, Samuel Wu, et al.. (2012). Cartilage T1rho quantification in acl-reconstructed knees: a 2-year follow-up. Osteoarthritis and Cartilage. 20. S19–S19.
10.
Souza, Richard B., et al.. (2011). Relationship between knee kinetics during jumping tasks and knee articular cartilage MRI T1rho and T2 relaxation times. Clinical Biomechanics. 27(4). 403–408. 19 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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