Qiping Yu

1.8k total citations · 1 hit paper
29 papers, 1.4k citations indexed

About

Qiping Yu is a scholar working on Neurology, Cellular and Molecular Neuroscience and Rheumatology. According to data from OpenAlex, Qiping Yu has authored 29 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Neurology, 13 papers in Cellular and Molecular Neuroscience and 3 papers in Rheumatology. Recurrent topics in Qiping Yu's work include Neurological disorders and treatments (24 papers), Parkinson's Disease Mechanisms and Treatments (17 papers) and Botulinum Toxin and Related Neurological Disorders (10 papers). Qiping Yu is often cited by papers focused on Neurological disorders and treatments (24 papers), Parkinson's Disease Mechanisms and Treatments (17 papers) and Botulinum Toxin and Related Neurological Disorders (10 papers). Qiping Yu collaborates with scholars based in United States, United Kingdom and China. Qiping Yu's co-authors include Seth L. Pullman, Steven R. Bishop, Daolin Xu, Jiaxi Zhou, Steven M. Albert, Livia F. Barnes, Elan D. Louis, Kristin J. Wendt, Blair Ford and Elan D. Louis and has published in prestigious journals such as PLoS ONE, Neurology and Brain Research.

In The Last Decade

Qiping Yu

29 papers receiving 1.3k citations

Hit Papers

Theoretical and experimental analyses of a nonlinear magn... 2013 2026 2017 2021 2013 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiping Yu United States 19 937 426 268 148 113 29 1.4k
Alberto Ranavolo Italy 29 466 0.5× 514 1.2× 10 0.0× 22 0.1× 211 1.9× 111 2.3k
Juan Manuel Belda Lois Spain 20 548 0.6× 453 1.1× 11 0.0× 12 0.1× 281 2.5× 52 1.6k
Catherine M. Sweeney‐Reed Germany 22 147 0.2× 253 0.6× 14 0.1× 14 0.1× 725 6.4× 57 1.2k
Akimasa Ishida Japan 20 145 0.2× 111 0.3× 11 0.0× 12 0.1× 164 1.5× 73 1.1k
Francesco Draicchio Italy 27 311 0.3× 400 0.9× 4 0.0× 14 0.1× 222 2.0× 122 2.1k
Tarik Al-ani France 12 69 0.1× 75 0.2× 22 0.1× 6 0.0× 157 1.4× 27 594
Roberto Di Marco Italy 15 84 0.1× 36 0.1× 72 0.3× 6 0.0× 90 0.8× 47 570
Xianzeng Liu China 12 40 0.0× 408 1.0× 13 0.0× 9 0.1× 167 1.5× 29 845
H. Russmann Switzerland 14 671 0.7× 190 0.4× 5 0.0× 9 0.1× 180 1.6× 20 1.5k
Peter Svensson Sweden 12 103 0.1× 21 0.0× 21 0.1× 11 0.1× 329 2.9× 41 974

Countries citing papers authored by Qiping Yu

Since Specialization
Citations

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

Fields of papers citing papers by Qiping Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiping Yu

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

All Works

20 of 20 papers shown
1.
Kim, Christine, Lan Luo, Qiping Yu, et al.. (2018). Repeated Spiral Drawings in Essential Tremor: a Possible Limb-Based Measure of Motor Learning. The Cerebellum. 18(2). 178–187. 4 indexed citations
2.
Yu, Qiping, et al.. (2018). Digitized spiral analysis may be a potential biomarker for brachial dystonia. Parkinsonism & Related Disorders. 57. 16–21. 3 indexed citations
3.
Kuo, Sheng‐Han, Qiping Yu, Linda Winfield, et al.. (2018). Objective predictors of ‘early tolerance’ to ventral intermediate nucleus of thalamus deep brain stimulation in essential tremor patients. Clinical Neurophysiology. 129(8). 1628–1633. 18 indexed citations
4.
5.
Luciano, Marta San, Cuiling Wang, Qiping Yu, et al.. (2016). Digitized Spiral Drawing: A Possible Biomarker for Early Parkinson’s Disease. PLoS ONE. 11(10). e0162799–e0162799. 76 indexed citations
6.
Christophe, Brandon R., et al.. (2016). Computerized spiral analysis using the iPad. Journal of Neuroscience Methods. 275. 50–54. 35 indexed citations
7.
Mikell, Charles B., John P. Sheehy, Brett E. Youngerman, et al.. (2013). Features and timing of the response of single neurons to novelty in the substantia nigra. Brain Research. 1542. 79–84. 18 indexed citations
8.
Xu, Daolin, Qiping Yu, Jiaxi Zhou, & Steven R. Bishop. (2013). Theoretical and experimental analyses of a nonlinear magnetic vibration isolator with quasi-zero-stiffness characteristic. Journal of Sound and Vibration. 332(14). 3377–3389. 281 indexed citations breakdown →
9.
Louis, Elan D., et al.. (2012). High Width Variability during Spiral Drawing: Further Evidence of Cerebellar Dysfunction in Essential Tremor. The Cerebellum. 11(4). 872–879. 36 indexed citations
10.
Yang, Haijun, et al.. (2010). HPLC Method for the Simultaneous Determination of Ten Annonaceous Acetogenins after Supercritical Fluid CO2 Extraction. International Journal of Biomedical Science. 6(3). 202–207. 19 indexed citations
11.
Hsu, Annie, Panida Piboolnurak, A Floyd, et al.. (2009). Spiral analysis in Niemann‐Pick disease type C. Movement Disorders. 24(13). 1984–1990. 26 indexed citations
12.
Wang, Hongzhi, et al.. (2008). Spiral analysis—Improved clinical utility with center detection. Journal of Neuroscience Methods. 171(2). 264–270. 20 indexed citations
13.
Senatus, Patrick B., Shearwood McClelland, Seth L. Pullman, et al.. (2006). A technique for minimally altering anatomically based subthalamic electrode targeting by microelectrode recording. Neurosurgical FOCUS. 20(5). 1–4. 26 indexed citations
14.
Piboolnurak, Panida, Qiping Yu, & Seth L. Pullman. (2005). Clinical and neurophysiologic spectrum of orthostatic tremor: Case series of 26 subjects. Movement Disorders. 20(11). 1455–1461. 56 indexed citations
15.
Piboolnurak, Panida, Anwar Ahmed, Blair Ford, et al.. (2005). Psychogenic tremor disorders identified using tree‐based statistical algorithms and quantitative tremor analysis. Movement Disorders. 20(12). 1543–1549. 13 indexed citations
16.
Gilbert, Gordon, Qiping Yu, Clifford Qualls, et al.. (2004). Reaction Time and Movement Time After Embryonic Cell Implantation in Parkinson Disease. Archives of Neurology. 61(6). 858–858. 21 indexed citations
17.
Senatus, Patrick B., Shearwood McClelland, Blair Ford, et al.. (2004). Implantation of bilateral deep brain stimulators in patients with Parkinson disease and preexisting cardiac pacemakers. Journal of neurosurgery. 101(6). 1073–1077. 20 indexed citations
18.
Louis, Elan D., Livia F. Barnes, Steven M. Albert, et al.. (2001). Correlates of functional disability in essential tremor. Movement Disorders. 16(5). 914–920. 187 indexed citations
19.
Louis, Elan D., Livia F. Barnes, Kristin J. Wendt, et al.. (2000). Validity and test-retest reliability of a disability questionnaire for essential tremor. Movement Disorders. 15(3). 516–523. 55 indexed citations
20.
Louis, Elan D., Kristin J. Wendt, Steven M. Albert, et al.. (1999). Validity of a Performance-Based Test of Function in Essential Tremor. Archives of Neurology. 56(7). 841–841. 101 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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