Yu Shu
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Rehabilitation top 5%
Papers in
-
- Muscle activation and electromyography studies 7
- Co-authors
- Judith M. Burnfield (7 shared papers)Thad W. Buster (7 shared papers)Sharon A. Johnstone (3 shared papers)Wenrun Li (1 shared paper)Nancy Dos Santos (1 shared paper)Ryan Gallagher (1 shared paper)Murray S. Webb (1 shared paper)Marcel B. Bally (2 shared papers)
- Journals
- Oncotarget (4 papers)Physical Therapy (3 papers)Statistics in Medicine (2 papers)Gait & Posture (2 papers)Journal of Applied Biomechanics (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yu Shu
50 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 135
- Biomaterials 249
- Rehabilitation 67
- Physical Therapy, Sports Therapy and Rehabilitation 45
- Immunology 200
- Pharmaceutical Science 60
Countries citing papers authored by Yu Shu
This map shows the geographic impact of Yu Shu'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 Yu Shu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Shu more than expected).
Fields of papers citing papers by Yu Shu
This network shows the impact of papers produced by Yu Shu. 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 Yu Shu. The network helps show where Yu Shu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Shu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 317 | |
| 2 | 2015 | 129 | |
| 3 | 2021 | 119 | |
| 4 | 2008 | 110 | |
| 5 | 2013 | 101 | |
| 6 | 2017 | 81 | |
| 7 | 2004 | 62 | |
| 8 | 2009 | 60 | |
| 9 | 2014 | 45 | |
| 10 | 2020 | 42 | |
| 11 | 2012 | 40 | |
| 12 | 2013 | 33 | |
| 13 | 2017 | 29 | |
| 14 | 2020 | 25 | |
| 15 | 2017 | 25 | |
| 16 | 2021 | 24 | |
| 17 | 2011 | 22 | |
| 18 | 2016 | 21 | |
| 19 | 2011 | 20 | |
| 20 | 2013 | 19 |
About Yu Shu
Yu Shu is a scholar working on Biomedical Engineering, Molecular Biology, Social Psychology, Oncology and Immunology, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (7 papers), Immune cells in cancer (4 papers), Statistical Methods in Clinical Trials (4 papers), Ergonomics and Musculoskeletal Disorders (4 papers), Musculoskeletal pain and rehabilitation (3 papers), Cancer Treatment and Pharmacology (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and Stroke Rehabilitation and Recovery (3 papers). The work is most often cited by research in Biomaterials (249 citations), Rehabilitation (67 citations), Physical Therapy, Sports Therapy and Rehabilitation (45 citations), Immunology (200 citations) and Pharmaceutical Science (60 citations). Yu Shu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Judith M. Burnfield, Thad W. Buster, Sharon A. Johnstone, Wenrun Li, Nancy Dos Santos, Ryan Gallagher, Murray S. Webb, Marcel B. Bally, L.D. Mayer and A S Janoff. Their work appears in journals such as Oncotarget, Physical Therapy, Statistics in Medicine, Gait & Posture and Journal of Applied Biomechanics.
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.