Kun Xia
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments 45
- Neurological diseases and metabolism 39
- Sensory Systems top 1%
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- Genetic Neurodegenerative Diseases 57
- Hereditary Neurological Disorders 38
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments 45
- Neurological diseases and metabolism 39
- Molecular Biology top 2%
- Mitochondrial Function and Pathology 37
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- Genetics and Neurodevelopmental Disorders 53
- Genomics and Rare Diseases 29
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- Autism Spectrum Disorder Research 46
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Kun Xia
386 papers receiving 6.9k citations
Peers
Comparison fields: 5 of 155
- Neurology 822
- Sensory Systems 456
- Cellular and Molecular Neuroscience 1.6k
- Neurology 1.2k
- Molecular Biology 3.8k
Countries citing papers authored by Kun Xia
This map shows the geographic impact of Kun Xia'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 Kun Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Xia more than expected).
Fields of papers citing papers by Kun Xia
This network shows the impact of papers produced by Kun Xia. 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 Kun Xia. The network helps show where Kun Xia may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kun Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 28 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 14 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 3 | |
| 14 | 2019 | 27 | |
| 15 | 2018 | 2 | |
| 16 | 2018 | 40 | |
| 17 | 2011 | 3 | |
| 18 | [Mutation analysis of DJ1 gene in patients with autosomal recessive early-onset Parkinsonism]. | 2005 | 2 |
| 19 | Frequency analysis of autosomal dominant spinocerebellar ataxias in mainland Chinese patients and clinical and molecular characterization of spinocerebellar ataxia type 6. | 2005 | 17 |
| 20 | [Mutation analysis of PINK1 gene in Chinese patients with autosomal recessive early-onset parkinsonism type 6]. | 2005 | 5 |
About Kun Xia
Kun Xia is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology, having authored 403 papers that have together received 7.0k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (57 papers), Genetics and Neurodevelopmental Disorders (53 papers), Autism Spectrum Disorder Research (46 papers), Parkinson's Disease Mechanisms and Treatments (45 papers), Neurological diseases and metabolism (39 papers), Hereditary Neurological Disorders (38 papers), Mitochondrial Function and Pathology (37 papers) and Genomics and Rare Diseases (29 papers). The work is most often cited by research in Neurology (822 citations), Sensory Systems (456 citations) and Cellular and Molecular Neuroscience (1.6k citations). Kun Xia has collaborated with scholars based in China, United States and France. Frequent co-authors include Beisha Tang, Qian Pan, Zhengmao Hu, Hong Jiang, Lu Shen, Zhuohua Zhang, Xinxiang Yan, Jifeng Guo, Junling Wang and Zhigao Long. Their work appears in journals such as PLoS ONE, Scientific Reports, Neurobiology of Aging, Journal of the Neurological Sciences and Biochemical and Biophysical Research Communications.
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.