Xinxiang Yan

4.7k total citations
173 papers, 2.6k citations indexed

About

Xinxiang Yan is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Xinxiang Yan has authored 173 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Neurology, 75 papers in Cellular and Molecular Neuroscience and 57 papers in Molecular Biology. Recurrent topics in Xinxiang Yan's work include Parkinson's Disease Mechanisms and Treatments (96 papers), Nuclear Receptors and Signaling (37 papers) and Neurological disorders and treatments (36 papers). Xinxiang Yan is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (96 papers), Nuclear Receptors and Signaling (37 papers) and Neurological disorders and treatments (36 papers). Xinxiang Yan collaborates with scholars based in China, United States and Spain. Xinxiang Yan's co-authors include Beisha Tang, Jifeng Guo, Qian Xu, Qiying Sun, Lu Shen, Kun Xia, Bin Jiao, Hong Jiang, Qian Pan and Junling Wang and has published in prestigious journals such as PLoS ONE, Neurology and Annals of Neurology.

In The Last Decade

Xinxiang Yan

164 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinxiang Yan China 26 1.4k 964 753 499 469 173 2.6k
Pingyi Xu China 32 1.0k 0.7× 1.2k 1.2× 1.3k 1.7× 774 1.6× 510 1.1× 133 3.2k
Jon Infante Spain 34 1.0k 0.7× 1.1k 1.1× 970 1.3× 672 1.3× 748 1.6× 156 3.0k
Mario Ezquerra Spain 28 1.7k 1.2× 1.3k 1.4× 782 1.0× 542 1.1× 1.1k 2.3× 85 3.0k
Pau Pástor Spain 36 2.2k 1.5× 952 1.0× 819 1.1× 790 1.6× 1.2k 2.5× 123 3.6k
Alessio Di Fonzo Italy 29 1.9k 1.3× 1.3k 1.3× 814 1.1× 871 1.7× 753 1.6× 116 3.3k
Jifeng Guo China 33 1.8k 1.3× 1.6k 1.6× 1.0k 1.3× 716 1.4× 725 1.5× 224 3.9k
С. Н. Иллариошкин Russia 25 816 0.6× 1.1k 1.2× 859 1.1× 231 0.5× 445 0.9× 308 2.3k
Ornit Chiba‐Falek United States 29 934 0.7× 1.1k 1.1× 673 0.9× 260 0.5× 532 1.1× 82 2.5k
Hiroyuki Tomiyama Japan 23 1.3k 0.9× 513 0.5× 614 0.8× 549 1.1× 430 0.9× 43 2.0k
Patrizia Rizzu Netherlands 22 1.2k 0.8× 1.0k 1.1× 490 0.7× 519 1.0× 1.4k 2.9× 44 2.5k

Countries citing papers authored by Xinxiang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xinxiang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinxiang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xinxiang Yan. A scholar is included among the top collaborators of Xinxiang 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 Xinxiang Yan. Xinxiang 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.
Li, Lizhi, Juanjuan Huang, Yaqin Xiang, et al.. (2025). The Progression of NUS1‐Associated Parkinson's Disease and the Diagnostic Potential of Plasma NgBR. CNS Neuroscience & Therapeutics. 31(7). e70549–e70549. 1 indexed citations
2.
Zhao, Yuwen, Hongxu Pan, Yige Wang, et al.. (2025). Expanding the Autosomal Recessive Gene Spectrum of Parkinson's Disease: A Study within the CPD10KGP. Movement Disorders. 40(12). 2770–2781.
3.
Xiang, Yaqin, Xiaoxia Zhou, Xun Zhou, et al.. (2023). The risk factors for probable REM sleep behavior disorder: A case-control study. Sleep Medicine. 110. 99–105. 2 indexed citations
4.
Yang, Qijie, Bin Jiao, Weiwei Zhang, et al.. (2023). Clinical features of progressive supranuclear palsy. Frontiers in Aging Neuroscience. 15. 1229491–1229491. 5 indexed citations
5.
Zhou, Xun, Yige Wang, Runcheng He, et al.. (2023). Microdeletion in distal PLP1 enhancers causes hereditary spastic paraplegia 2. Annals of Clinical and Translational Neurology. 10(9). 1590–1602. 1 indexed citations
6.
Wu, Qi, Shu‐Lin Liu, Jiabin Liu, et al.. (2023). Bidirectional Mendelian randomization study of psychiatric disorders and Parkinson’s disease. Frontiers in Aging Neuroscience. 15. 1120615–1120615. 10 indexed citations
7.
Wang, Xin, Bin Jiao, Hui Liu, et al.. (2022). Machine learning based on Optical Coherence Tomography images as a diagnostic tool for Alzheimer's disease. CNS Neuroscience & Therapeutics. 28(12). 2206–2217. 31 indexed citations
8.
Zhou, Xun, Hongyan Huang, Runcheng He, et al.. (2022). Clinical features and reclassification of essential tremor with NOTCH2NLC GGC repeat expansions based on a long‐term follow‐up. European Journal of Neurology. 29(12). 3600–3610. 3 indexed citations
9.
Xu, Kun, Xiaoxia Zhou, Yaqin Xiang, et al.. (2022). Constructing prediction models for excessive daytime sleepiness by nomogram and machine learning: A large Chinese multicenter cohort study. Frontiers in Aging Neuroscience. 14. 938071–938071. 3 indexed citations
10.
Li, Lizhi, Yuwen Zhao, Hongxu Pan, et al.. (2022). Association of rare PPARGC1A variants with Parkinson’s disease risk. Journal of Human Genetics. 67(12). 687–690. 4 indexed citations
11.
Liu, Hongli, Yige Wang, Hongxu Pan, et al.. (2020). Association of rare heterozygous PLA2G6 variants with the risk of Parkinson's disease. Neurobiology of Aging. 101. 297.e5–297.e8. 6 indexed citations
12.
Han, Hailong, Jieqiong Tan, Ruoxi Wang, et al.. (2020). PINK 1 phosphorylates Drp1 S616 to regulate mitophagy‐independent mitochondrial dynamics. EMBO Reports. 21(8). e48686–e48686. 149 indexed citations
13.
Liao, Xinxin, Fang Cai, Zhanfang Sun, et al.. (2020). Identification of Alzheimer’s disease–associated rare coding variants in the ECE2 gene. JCI Insight. 5(4). 21 indexed citations
14.
Xiang, Yaqin, Jiabin Liu, Qian Xu, et al.. (2020). Study on the Clinical Features of Parkinson's Disease With Probable Rapid Eye Movement Sleep Behavior Disorder. Frontiers in Neurology. 11. 979–979. 14 indexed citations
15.
16.
Zhu, Liping, Qiying Sun, Jifeng Guo, Xinxiang Yan, & Beisha Tang. (2018). Study on the clinical features and related factors of constipation in patients with Parkinson's disease. 20(1). 6–8.
17.
Luo, Yang, Beisha Tang, Yang Yang, et al.. (2016). RAB39B gene mutations are not linked to familial Parkinson’s disease in China. Scientific Reports. 6(1). 34502–34502. 8 indexed citations
18.
Sun, Zhanfang, Xiao Mao, Xinxiang Yan, et al.. (2016). Mutation screening of thePRRT2gene for benign epilepsy with centrotemporal spikes in Chinese mainland population. International Journal of Neuroscience. 127(1). 10–13. 4 indexed citations
19.
Wang, Chunyu, Qian Xu, Ling Weng, et al.. (2011). Genetic variations of Omi/HTRA2 in Chinese patients with Parkinson's disease. Brain Research. 1385. 293–297. 16 indexed citations
20.
Guo, Jifeng, Beisha Tang, Yuhu Zhang, et al.. (2005). [Mutation analysis of DJ1 gene in patients with autosomal recessive early-onset Parkinsonism].. PubMed. 22(6). 641–3. 2 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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