Wan‐Jin Chen

3.1k total citations
112 papers, 1.9k citations indexed

About

Wan‐Jin Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Wan‐Jin Chen has authored 112 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 31 papers in Cellular and Molecular Neuroscience and 27 papers in Genetics. Recurrent topics in Wan‐Jin Chen's work include Neurogenetic and Muscular Disorders Research (27 papers), Genetic Neurodegenerative Diseases (17 papers) and Hereditary Neurological Disorders (16 papers). Wan‐Jin Chen is often cited by papers focused on Neurogenetic and Muscular Disorders Research (27 papers), Genetic Neurodegenerative Diseases (17 papers) and Hereditary Neurological Disorders (16 papers). Wan‐Jin Chen collaborates with scholars based in China, United States and Taiwan. Wan‐Jin Chen's co-authors include Ning Wang, J. Brosius, Henri Tiedge, Zhi‐Ying Wu, J. He, Shen-Xing Murong, Ni Wang, Qi‐Jie Zhang, Jianfeng Xu and Zhi‐Qi Xiong and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Neuron.

In The Last Decade

Wan‐Jin Chen

103 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wan‐Jin Chen China 20 912 424 422 283 237 112 1.9k
Jill M. Weimer United States 26 955 1.0× 189 0.4× 357 0.8× 158 0.6× 135 0.6× 82 2.1k
Byung Chan Lim South Korea 23 750 0.8× 436 1.0× 244 0.6× 244 0.9× 481 2.0× 165 1.8k
Erik‐Jan Kamsteeg Netherlands 32 2.2k 2.4× 470 1.1× 704 1.7× 258 0.9× 140 0.6× 124 3.2k
Isabella Moroni Italy 32 2.1k 2.3× 225 0.5× 596 1.4× 330 1.2× 98 0.4× 114 3.0k
Kevin C. Ess United States 27 1.2k 1.3× 366 0.9× 325 0.8× 135 0.5× 122 0.5× 59 2.2k
Göknur Haliloğlu Türkiye 23 922 1.0× 259 0.6× 224 0.5× 210 0.7× 61 0.3× 116 1.7k
Charles Marques Lourenço Brazil 23 883 1.0× 309 0.7× 347 0.8× 179 0.6× 124 0.5× 106 1.9k
Robert W. Mays United States 25 1.2k 1.3× 255 0.6× 316 0.7× 219 0.8× 59 0.2× 40 2.5k
Gerald Pfeffer Canada 22 1.2k 1.3× 160 0.4× 307 0.7× 271 1.0× 76 0.3× 75 1.9k
Christine Barnérias France 20 704 0.8× 283 0.7× 137 0.3× 139 0.5× 133 0.6× 73 1.4k

Countries citing papers authored by Wan‐Jin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wan‐Jin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wan‐Jin Chen. 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 Wan‐Jin Chen. The network helps show where Wan‐Jin Chen may publish in the future.

Co-authorship network of co-authors of Wan‐Jin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Wan‐Jin Chen. A scholar is included among the top collaborators of Wan‐Jin Chen 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 Wan‐Jin Chen. Wan‐Jin Chen 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.
Chen, Xuan-Yu, Xinyuan Chen, Zhili Chen, et al.. (2025). Associations between CAG repeat size, brain and spinal cord volume loss, and motor symptoms in spinocerebellar ataxia type 3: a cohort study. Orphanet Journal of Rare Diseases. 20(1). 35–35. 1 indexed citations
2.
Zhang, Tongtong, Hui‐Zhen Su, Shuyuan Wang, et al.. (2025). Lysosomal and mTORC1 signaling dysregulation underpin the pathology of spastic paraplegia type 80. Nature Communications. 16(1). 9833–9833.
3.
Dai, Xiaoman, Jianmin Chen, Qiang Du, et al.. (2025). ACLY regulates autolysosome acidification through tubulin acetylation‐mediated assembly of V‐ATPase subunits in Alzheimer's disease model mice. Alzheimer s & Dementia. 21(11). e70919–e70919.
4.
Ru-kai, Chen, et al.. (2024). Altered cortical functional networks in Wilson's Disease: A resting-state electroencephalogram study. Neurobiology of Disease. 202. 106692–106692.
5.
Wang, Ningning, J. He, Bochen Zhu, et al.. (2024). Diagnosis of Challenging Spinal Muscular Atrophy Cases with Long-Read Sequencing. Journal of Molecular Diagnostics. 26(5). 364–373.
6.
Chen, Xuan-Yu, Xintong Yu, Chunyu Huang, et al.. (2024). Apolipoprotein E epsilon4 allele is associated with better performance language and visual memory in spinocerebellar ataxia type 3. European Journal of Neurology. 32(1). e70017–e70017.
7.
Huang, Xuejing, Guangyu Zhang, Xuewen Cheng, et al.. (2024). Heterozygous Variants in KCNJ10 Cause Paroxysmal Kinesigenic Dyskinesia Via Haploinsufficiency. Annals of Neurology. 96(4). 758–773.
8.
Jiang, Junyi, et al.. (2024). A pseudo‐homozygous missense variant and Alu‐mediated exon 5 deletion in FARS2 causing spastic paraplegia 77. Annals of Clinical and Translational Neurology. 11(11). 3019–3024.
9.
Su, Hui‐Zhen, Xiang Lin, Yan Shi, et al.. (2024). ESCRT-I protein UBAP1 controls ventricular expansion and cortical neurogenesis via modulating adherens junctions of radial glial cells. Cell Reports. 43(3). 113818–113818. 2 indexed citations
10.
Lin, Xiang, Junyi Jiang, Daojun Hong, et al.. (2023). Biallelic COQ4 Variants in Hereditary Spastic Paraplegia: Clinical and Molecular Characterization. Movement Disorders. 39(1). 152–163. 3 indexed citations
11.
Cao, Chunyan, Long Chen, Xuejiao Chen, et al.. (2023). CGG repeat expansion in LOC642361/NUTM2B-AS1 typically presents as oculopharyngodistal myopathy. Journal of genetics and genomics. 51(2). 184–196. 4 indexed citations
12.
Cheng, Xin‐Bing, Yiyi Zhao, Zhongqi Yu, & Wan‐Jin Chen. (2023). Research on toolpath optimization of robot-assisted incremental flanging. IOP Conference Series Materials Science and Engineering. 1284(1). 12038–12038. 2 indexed citations
13.
Huang, Weibin, Wenting Fang, Xiaoman Dai, et al.. (2023). ACSS2-dependent histone acetylation improves cognition in mouse model of Alzheimer’s disease. Molecular Neurodegeneration. 18(1). 47–47. 39 indexed citations
14.
Chen, Yijun, Mengwen Wang, En‐Lin Dong, et al.. (2019). Chinese patients with adrenoleukodystrophy and Zellweger spectrum disorder presenting with hereditary spastic paraplegia. Parkinsonism & Related Disorders. 65. 256–260. 10 indexed citations
15.
He, J., Lingling Guo, Wenfeng Chen, et al.. (2019). ATP1A1mutations cause intermediate Charcot‐Marie‐Tooth disease. Human Mutation. 40(12). 2334–2343. 13 indexed citations
16.
Li, Hong‐Fu, Liqin Yang, Dazhi Yin, et al.. (2019). Associations between neuroanatomical abnormality and motor symptoms in paroxysmal kinesigenic dyskinesia. Parkinsonism & Related Disorders. 62. 134–140. 15 indexed citations
17.
Zhang, Qi‐Jie, Jin-Jing Li, Xiang Lin, et al.. (2017). Modeling the phenotype of spinal muscular atrophy by the direct conversion of human fibroblasts to motor neurons. Oncotarget. 8(7). 10945–10953. 21 indexed citations
19.
He, Jin, et al.. (2012). Studies on the prenatal diagnosis of spinal muscular atrophy by multiplex ligation⁃dependent probe amplification. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Zhang, Xiong, et al.. (2012). Screening for FMR1 expanded alleles in patients with parkinsonism in mainland China. Neuroscience Letters. 514(1). 16–21. 7 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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