Hongxu Pan

1.4k total citations
46 papers, 455 citations indexed

About

Hongxu Pan is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Hongxu Pan has authored 46 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Neurology, 18 papers in Molecular Biology and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Hongxu Pan's work include Parkinson's Disease Mechanisms and Treatments (30 papers), RNA regulation and disease (10 papers) and Neurological disorders and treatments (9 papers). Hongxu Pan is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (30 papers), RNA regulation and disease (10 papers) and Neurological disorders and treatments (9 papers). Hongxu Pan collaborates with scholars based in China, United States and Vietnam. Hongxu Pan's co-authors include Beisha Tang, Qiying Sun, Shu Li, Jifeng Guo, Yuan Zhang, Qian Xu, Xinxiang Yan, Xun Zhou, Yuwen Zhao and Lixia Qin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Neurology and Gene.

In The Last Decade

Hongxu Pan

41 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongxu Pan China 12 276 151 119 102 76 46 455
Eugénie Mutez France 12 283 1.0× 171 1.1× 74 0.6× 160 1.6× 74 1.0× 28 427
E. Yu. Fedotova Russia 11 235 0.9× 151 1.0× 141 1.2× 107 1.0× 72 0.9× 94 446
Yanpeng Yuan China 10 225 0.8× 192 1.3× 83 0.7× 150 1.5× 68 0.9× 26 475
Kimberley J. Billingsley United States 9 218 0.8× 148 1.0× 81 0.7× 97 1.0× 68 0.9× 16 381
Mary Xylaki Germany 9 218 0.8× 117 0.8× 94 0.8× 104 1.0× 59 0.8× 12 338
Milena Cioroch United Kingdom 9 293 1.1× 114 0.8× 93 0.8× 221 2.2× 63 0.8× 12 465
Bhuvaneish T. Selvaraj United Kingdom 15 317 1.1× 354 2.3× 113 0.9× 164 1.6× 130 1.7× 30 709
Madeline J. Churchill United States 14 330 1.2× 178 1.2× 127 1.1× 237 2.3× 89 1.2× 19 620
Joanna A. Korecka Netherlands 12 208 0.8× 273 1.8× 105 0.9× 248 2.4× 70 0.9× 14 616
Athina Maria Simitsi Greece 11 329 1.2× 85 0.6× 96 0.8× 140 1.4× 77 1.0× 17 428

Countries citing papers authored by Hongxu Pan

Since Specialization
Citations

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

Fields of papers citing papers by Hongxu Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongxu Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Hongxu Pan. A scholar is included among the top collaborators of Hongxu Pan 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 Hongxu Pan. Hongxu Pan 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.
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.
2.
Wu, Fan, Shanshan Wang, Jieyu Zhou, et al.. (2025). Multi-Variate Time Series Prediction of Traffic and Users for Dynamic RRH-BBU Mapping in C-RAN. IEEE Transactions on Mobile Computing. 24(10). 10557–10572. 2 indexed citations
3.
4.
Liu, Jiabin, Yige Wang, Yuwen Zhao, et al.. (2024). Comprehensive variant analysis of phospholipase A2 superfamily genes in large Chinese Parkinson’ s disease cohorts. Mechanisms of Ageing and Development. 219. 111940–111940. 1 indexed citations
5.
Liu, Jiabin, Juanjuan Huang, Yuwen Zhao, et al.. (2023). Evaluating the association between DNM1L variants and Parkinson's disease in the Chinese population. Frontiers in Neurology. 14. 1133449–1133449.
6.
Wang, Yige, Yuwen Zhao, Hongxu Pan, et al.. (2023). Genetic analysis of dystonia-related genes in Parkinson's disease. Frontiers in Aging Neuroscience. 15. 1207114–1207114. 2 indexed citations
7.
Zhao, Yuwen, Lixia Qin, Hongxu Pan, et al.. (2023). Genetic analysis of transcription factors in dopaminergic neuronal development in Parkinson's disease. Chinese Medical Journal. 137(4). 450–456. 1 indexed citations
8.
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
9.
Zeng, Qian, Hongxu Pan, Yuwen Zhao, et al.. (2022). Association Study of TAF1 Variants in Parkinson’s Disease. Frontiers in Neuroscience. 16. 846095–846095. 4 indexed citations
10.
Li, Jiang, Qin Yan, Yuwen Zhao, et al.. (2022). PSEN1 G417S mutation in a Chinese pedigree causing early-onset parkinsonism with cognitive impairment. Neurobiology of Aging. 115. 70–76.
11.
Zhao, Yuwen, Hongxu Pan, Yige Wang, et al.. (2022). The association between LIN28A gene rare variants and Parkinson’s disease in Chinese population. Gene. 829. 146515–146515. 1 indexed citations
12.
Zeng, Qian, Hongxu Pan, Yuwen Zhao, et al.. (2022). Evaluation of common and rare variants of Alzheimer's disease-causal genes in Parkinson's disease. Parkinsonism & Related Disorders. 97. 8–14. 4 indexed citations
13.
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
14.
Zhao, Yuwen, Yan He, Yangjie Zhou, et al.. (2020). The Discriminative Power of Different Olfactory Domains in Parkinson's Disease. Frontiers in Neurology. 11. 420–420. 8 indexed citations
15.
Qin, Lixia, Shu Li, Hongxu Pan, et al.. (2020). Genetic analysis of N6-methyladenosine modification genes in Parkinson's disease. Neurobiology of Aging. 93. 143.e9–143.e13. 40 indexed citations
16.
Pan, Hongxu, Yige Wang, Yuwen Zhao, et al.. (2020). No relationship between SRY variants and risk of Parkinson's disease in Chinese population. Neurobiology of Aging. 100. 119.e3–119.e6. 4 indexed citations
17.
Li, Shu, Yuan Zhang, Qiying Sun, Hongxu Pan, & Beisha Tang. (2019). A Comprehensive Analysis of Population Differences in LRRK2 Variant Distribution in Parkinson's Disease. Frontiers in Aging Neuroscience. 11. 13–13. 55 indexed citations
18.
Li, Shu, Lixia Qin, Hongxu Pan, et al.. (2019). Genetic analysis of DNA methylation and hydroxymethylation genes in Parkinson's disease. Neurobiology of Aging. 84. 242.e13–242.e16. 12 indexed citations
19.
Qin, Lixia, Shu Li, Hongxu Pan, et al.. (2019). Association of HIF1A and Parkinson’s disease in a Han Chinese population demonstrated by molecular inversion probe analysis. Neurological Sciences. 40(9). 1927–1931. 20 indexed citations
20.
Zhang, Yuan, Shu Li, Qiying Sun, et al.. (2018). A Comprehensive Analysis of the Association Between SNCA Polymorphisms and the Risk of Parkinson's Disease. Frontiers in Molecular Neuroscience. 11. 391–391. 36 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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