Yu Shu

1.9k total citations
53 papers, 1.4k citations indexed

About

Yu Shu is a scholar working on Biomedical Engineering, Molecular Biology and Pharmacology. According to data from OpenAlex, Yu Shu has authored 53 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 6 papers in Molecular Biology and 6 papers in Pharmacology. Recurrent topics in Yu Shu's work include Muscle activation and electromyography studies (8 papers), Musculoskeletal pain and rehabilitation (6 papers) and Stroke Rehabilitation and Recovery (5 papers). Yu Shu is often cited by papers focused on Muscle activation and electromyography studies (8 papers), Musculoskeletal pain and rehabilitation (6 papers) and Stroke Rehabilitation and Recovery (5 papers). Yu Shu collaborates with scholars based in China, United States and Taiwan. Yu Shu's co-authors include Judith M. Burnfield, Thad W. Buster, Sharon A. Johnstone, Marcel B. Bally, Murray S. Webb, L.D. Mayer, Christine Allen, Ryan Gallagher, Wenrun Li and Nancy Dos Santos and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Nature Neuroscience.

In The Last Decade

Yu Shu

50 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yu Shu China	20	321	296	267	204	149	53	1.4k
Sheng Song China	21	322 1.0×	371 1.3×	129 0.5×	155 0.8×	65 0.4×	63	1.3k
Andreas Saleh Germany	20	158 0.5×	216 0.7×	163 0.6×	135 0.7×	81 0.5×	31	1.7k
Aifeng Zhang China	29	752 2.3×	266 0.9×	192 0.7×	204 1.0×	201 1.3×	118	3.1k
Wen Sun China	25	790 2.5×	122 0.4×	153 0.6×	226 1.1×	97 0.7×	146	2.8k
Yajie Sun China	20	648 2.0×	342 1.2×	83 0.3×	339 1.7×	277 1.9×	86	1.7k
Zhong Yang China	22	564 1.8×	430 1.5×	184 0.7×	65 0.3×	70 0.5×	101	1.8k
Akihiko Uchiyama Japan	28	534 1.7×	186 0.6×	56 0.2×	373 1.8×	339 2.3×	170	2.9k
Ya‐Ju Chang Taiwan	26	502 1.6×	746 2.5×	89 0.3×	165 0.8×	209 1.4×	103	2.2k
Zhiguo Lü China	21	655 2.0×	483 1.6×	365 1.4×	74 0.4×	39 0.3×	122	1.8k
Shih‐Jen Chen Taiwan	39	1.7k 5.2×	372 1.3×	119 0.4×	158 0.8×	92 0.6×	232	6.4k

Countries citing papers authored by Yu Shu

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Yu Shu

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

All Works

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20 of 20 papers shown

Shu, Yu, et al.. (2024). Nondestructive Demolding of Structure-Designable High-Aspect-Ratio Nanoimprint Template. Langmuir. 40(38). 20057–20061.

Wu, Weiguo, et al.. (2022). Study on Dynamic Response of Offshore Wind Turbine Structure Under Typhoon. Polish Maritime Research. 29(1). 34–42. 4 indexed citations

Pan, Xin, Jinjun Qian, Yu Shu, et al.. (2020). Downregulation of ATP13A2 in midbrain dopaminergic neurons is related to defective autophagy in a mouse model of Parkinson's disease.. PubMed Central. 13(7). 1853–1858. 4 indexed citations

Li, Juanjuan, et al.. (2020). A Practical Perspective: Application of the Generalized Approach for Adaptive Design. Therapeutic Innovation & Regulatory Science. 54(1). 167–170. 3 indexed citations

Shu, Yu, Yemin Shi, Yaowei Wang, Tiejun Huang, & Yonghong Tian. (2020). P-ODN: Prototype-based Open Deep Network for Open Set Recognition. Scientific Reports. 10(1). 7146–7146. 39 indexed citations

Shi, Yemin, et al.. (2018). Hierarchical Temporal Memory Enhanced One-Shot Distance Learning for Action Recognition. 350. 1–6. 6 indexed citations

Qin, Jian, Yongchao Li, Yu Wang, et al.. (2017). IL-35 induces N2 phenotype of neutrophils to promote tumor growth. Oncotarget. 8(20). 33501–33514. 76 indexed citations

Weinberg, Ido, Joshua A. Beckman, Jon S. Matsumura, et al.. (2017). Carotid Stent Fractures Are Not Associated With Adverse Events. Circulation. 137(1). 49–56. 8 indexed citations

Guo, Lili, Huan Xiong, Jae‐Ick Kim, et al.. (2015). Dynamic rewiring of neural circuits in the motor cortex in mouse models of Parkinson's disease. Nature Neuroscience. 18(9). 1299–1309. 127 indexed citations

10.

Shu, Yu, et al.. (2014). Transient Dynamics Analysis of the Reachstacker Speader Based on ANSYS. Advanced materials research. 1078. 212–215. 2 indexed citations

11.

Burnfield, Judith M., et al.. (2013). Comparative analysis of speed's impact on muscle demands during partial body weight support motor-assisted elliptical training. Gait & Posture. 39(1). 314–320. 19 indexed citations

12.

Zhou, Yuanhong, Shengjun Liao, Dong Li, et al.. (2013). TLR4 Ligand/H2O2 Enhances TGF-β1 Signaling to Induce Metastatic Potential of Non-Invasive Breast Cancer Cells by Activating Non-Smad Pathways. PLoS ONE. 8(5). e65906–e65906. 18 indexed citations

13.

Burnfield, Judith M., et al.. (2012). Kinematic and electromyographic analyses of normal and device-assisted sit-to-stand transfers. Gait & Posture. 36(3). 516–522. 40 indexed citations

14.

Zhu, Jianhua, Ye Yuan, Dong Li, et al.. (2012). Targeting nuclear factor‐κB suppresses the negative effect of Toll‐like receptor 4 signaling on antimetastasis therapy based on targeting αvβ3. Cancer Science. 103(7). 1319–1326. 5 indexed citations

15.

Burnfield, Judith M., et al.. (2011). Impact of Elliptical Trainer Ergonomic Modifications on Perceptions of Safety, Comfort, Workout, and Usability for People With Physical Disabilities and Chronic Conditions. Physical Therapy. 91(11). 1604–1617. 20 indexed citations

16.

Ansell, Steven M., Sharon A. Johnstone, Paul Tardi, et al.. (2008). Development of highly efficacious hydrophobic paclitaxel prodrugs delivered in nanoparticles for fixed-ratio drug combination applications. Cancer Research. 68. 5734–5734. 3 indexed citations

17.

Shu, Yu, et al.. (2007). Sequential evaluation of a medical diagnostic test with binary outcomes. Statistics in Medicine. 26(24). 4416–4427. 3 indexed citations

18.

Mayer, Lawrence D., Troy O. Harasym, Natashia Harasym, et al.. (2004). A pharmaceutical approach to achieve synergy in vivo: A fixed ratio formulation of Irinotecan and Floxuridine for treatment of colorectal cancer. Cancer Research. 64. 126–127. 2 indexed citations

19.

Shin, Gwanseob, et al.. (2004). Influence of knee angle and individual flexibility on the flexion–relaxation response of the low back musculature. Journal of Electromyography and Kinesiology. 14(4). 485–494. 62 indexed citations

20.

Shu, Yu, et al.. (1989). Choice of lasers for laser angioplasty. Journal of Tongji Medical University. 9(3). 181–186.

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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