Yaping Yan

1.5k total citations
59 papers, 814 citations indexed

About

Yaping Yan is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Yaping Yan has authored 59 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Neurology, 24 papers in Cellular and Molecular Neuroscience and 12 papers in Molecular Biology. Recurrent topics in Yaping Yan's work include Parkinson's Disease Mechanisms and Treatments (33 papers), Neurological disorders and treatments (25 papers) and Genetic Neurodegenerative Diseases (13 papers). Yaping Yan is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (33 papers), Neurological disorders and treatments (25 papers) and Genetic Neurodegenerative Diseases (13 papers). Yaping Yan collaborates with scholars based in China, United States and Switzerland. Yaping Yan's co-authors include Baorong Zhang, Jun Tian, Jiali Pu, Xiaoli Si, Xinzhen Yin, Yanxing Chen, Luyan Gu, Yi Fang, Guohua Zhao and Ting Shen and has published in prestigious journals such as Neurology, Scientific Reports and Neuroscience.

In The Last Decade

Yaping Yan

54 papers receiving 808 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaping Yan China 18 363 286 257 145 127 59 814
G M Szpak Poland 17 328 0.9× 141 0.5× 223 0.9× 210 1.4× 225 1.8× 41 829
Yi‐Min Sun China 18 477 1.3× 225 0.8× 246 1.0× 307 2.1× 127 1.0× 73 919
Sonja Körner Germany 19 722 2.0× 153 0.5× 272 1.1× 183 1.3× 128 1.0× 33 1.1k
Lin‐Hui Wang China 15 160 0.4× 388 1.4× 192 0.7× 78 0.5× 112 0.9× 30 721
Shunnan Ge China 17 280 0.8× 268 0.9× 235 0.9× 123 0.8× 159 1.3× 55 805
Dorothea Heersema Netherlands 21 282 0.8× 98 0.3× 162 0.6× 68 0.5× 118 0.9× 31 1.0k
Jiali Pu China 17 319 0.9× 158 0.6× 438 1.7× 156 1.1× 167 1.3× 48 913
Yoori Choi South Korea 14 90 0.2× 209 0.7× 320 1.2× 227 1.6× 186 1.5× 31 872
Katalin Majtényi Hungary 14 464 1.3× 236 0.8× 402 1.6× 391 2.7× 295 2.3× 26 1.2k
JL Holton United Kingdom 12 516 1.4× 205 0.7× 137 0.5× 180 1.2× 139 1.1× 26 810

Countries citing papers authored by Yaping Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaping Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Yaping Yan. A scholar is included among the top collaborators of Yaping Yan 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 Yaping Yan. Yaping Yan 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.
Guo, Tao, Cheng Zhou, Jingjing Wu, et al.. (2025). Aberrant functional connectome gradient and its neurotransmitter basis in Parkinson's disease. Neurobiology of Disease. 206. 106821–106821. 3 indexed citations
3.
Shen, Qiang, Xiaoying Jiang, Xiaoyu Huang, et al.. (2023). Factual and counterfactual learning in major adolescent depressive disorder, evidence from an instrumental learning study. Psychological Medicine. 54(2). 256–266.
4.
Chen, Ying, Liying Zhang, Yi Fang, et al.. (2023). Elevated serum anti‐Saccharomyces cerevisiae antibody accompanied by gut mycobiota dysbiosis as a biomarker of diagnosis in patients with de novo Parkinson disease. European Journal of Neurology. 30(11). 3462–3470. 8 indexed citations
5.
Fang, Yi, Xiaoli Si, Jiali Wang, et al.. (2023). Alzheimer Disease and Epilepsy. Neurology. 101(4). e399–e409. 34 indexed citations
6.
Guo, Tao, Cheng Zhou, Haoting Wu, et al.. (2023). Aberrant dentato‐rubro‐thalamic pathway in action tremor but not rest tremor: A multi‐modality magnetic resonance imaging study. CNS Neuroscience & Therapeutics. 29(12). 4160–4171. 5 indexed citations
7.
Zhao, Shuai, Xinyi Zhang, Zheyu Li, et al.. (2022). Metformin Attenuates Tau Pathology in Tau-Seeded PS19 Mice. Neurotherapeutics. 20(2). 452–463. 17 indexed citations
8.
Zhou, Cheng, Jiali Pu, Luyan Gu, et al.. (2022). Locus coeruleus degeneration and cerebellar gray matter changes in essential tremor. Journal of Neurology. 270(2). 780–787. 7 indexed citations
9.
Ren, Yong, Houbo Jiang, Jiali Pu, et al.. (2021). Molecular Features of Parkinson's Disease in Patient‐Derived Midbrain Dopaminergic Neurons. Movement Disorders. 37(1). 70–79. 6 indexed citations
10.
Zheng, Ran, Song Qiao, Yi Fang, et al.. (2021). Association analysis and polygenic risk score evaluation of 38 GWAS-identified Loci in a Chinese population with Parkinson’s disease. Neuroscience Letters. 762. 136150–136150. 4 indexed citations
11.
Zhang, Liang, Luyan Gu, Shaobing Dai, et al.. (2021). Associations of Body Mass Index-Metabolic Phenotypes with Cognitive Decline in Parkinson’s Disease. European Neurology. 85(1). 24–30. 3 indexed citations
12.
Yan, Yaping, Luyan Gu, Bingbo Zhang, et al.. (2020). Genetic testing of FUS, HTRA2, and TENM4 genes in Chinese patients with essential tremor. CNS Neuroscience & Therapeutics. 26(8). 837–841. 8 indexed citations
13.
Pu, Jiali, Ting Gao, Xiaoli Si, et al.. (2020). Parkinson’s Disease in Teneurin Transmembrane Protein 4 (TENM4) Mutation Carriers. Frontiers in Genetics. 11. 598064–598064. 4 indexed citations
14.
Si, Xiaoli, Luyan Gu, Zhe Song, et al.. (2020). Different Perivascular Space Burdens in Idiopathic Rapid Eye Movement Sleep Behavior Disorder and Parkinson’s Disease. Frontiers in Aging Neuroscience. 12. 580853–580853. 32 indexed citations
15.
Si, Xiaoli, Lingfei Li, Yuanjian Fang, Yaping Yan, & Jiali Pu. (2020). A Patient With Multiple Sclerosis and Coexisting Moyamoya Disease: Why and How. Frontiers in Neurology. 11. 516587–516587. 1 indexed citations
16.
Guan, Xiaojun, Tao Guo, Cheng Zhou, et al.. (2020). Asymmetrical nigral iron accumulation in Parkinson’s disease with motor asymmetry: an explorative, longitudinal and test-retest study. Aging. 12(18). 18622–18634. 18 indexed citations
17.
Yan, Yaping, Bo Zhang, Ting Shen, et al.. (2018). Study of GCH1 and TH genes in Chinese patients with Parkinson's disease. Neurobiology of Aging. 68. 159.e3–159.e6. 8 indexed citations
18.
Huang, Fang, et al.. (2018). Electrophysiological effects of melatonin on rat trigeminal ganglion neurons that participate in nociception in vitro.. PubMed. 22(10). 3234–3239. 3 indexed citations
19.
Yan, Yaping, Bingbo Zhang, Yanfang Mao, et al.. (2016). A novel tyrosine hydroxylase variant in a group of Chinese patients with dopa-responsive dystonia. International Journal of Neuroscience. 127(8). 694–700. 3 indexed citations
20.
Tian, Jun, Yaping Yan, Rui Zhou, et al.. (2013). Soluble N-terminal fragment of mutant Huntingtin protein impairs mitochondrial axonal transport in cultured hippocampal neurons. Neuroscience Bulletin. 30(1). 74–80. 12 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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