Kun Xia
Impact in
- Sensory Systems top 0.5%
- Hearing, Cochlea, Tinnitus, Genetics
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
Papers in
-
- Mitochondrial Function and Pathology 22
-
- Genetic Neurodegenerative Diseases 52
- Hereditary Neurological Disorders 30
- Co-authors
- Beisha Tang (147 shared papers)Qian Pan (76 shared papers)Zhengmao Hu (81 shared papers)Hong Jiang (88 shared papers)Lu Shen (68 shared papers)Zhuohua Zhang (17 shared papers)Xinxiang Yan (43 shared papers)Jifeng Guo (43 shared papers)
- Journals
- PLoS ONE (11 papers)Scientific Reports (10 papers)Neurobiology of Aging (8 papers)Journal of the Neurological Sciences (7 papers)Movement Disorders (6 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Kun Xia
389 papers receiving 7.1k citations
Peers
Comparison fields: 5 of 149
- Sensory Systems 436
- Neurology 659
- Neurology 1.1k
- Cellular and Molecular Neuroscience 1.5k
- Molecular Biology 3.3k
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-authors
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
Showing the 20 most-cited of 398 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 338 | |
| 2 | 2006 | 157 | |
| 3 | 2006 | 155 | |
| 4 | 2015 | 145 | |
| 5 | 2004 | 137 | |
| 6 | 2021 | 125 | |
| 7 | 2017 | 106 | |
| 8 | 2006 | 97 | |
| 9 | 2011 | 94 | |
| 10 | 2008 | 94 | |
| 11 | 2015 | 86 | |
| 12 | 2011 | 74 | |
| 13 | 2016 | 73 | |
| 14 | 2015 | 71 | |
| 15 | 2003 | 68 | |
| 16 | 2020 | 64 | |
| 17 | 2018 | 61 | |
| 18 | 2020 | 60 | |
| 19 | 2019 | 58 | |
| 20 | 2015 | 58 |
About Kun Xia
Kun Xia is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Cognitive Neuroscience, having authored 398 papers that have together received 7.2k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (52 papers), Genetics and Neurodevelopmental Disorders (44 papers), Parkinson's Disease Mechanisms and Treatments (39 papers), Autism Spectrum Disorder Research (38 papers), Hereditary Neurological Disorders (30 papers), Genomics and Rare Diseases (27 papers), Neurological diseases and metabolism (23 papers) and Mitochondrial Function and Pathology (22 papers). The work is most often cited by research in Sensory Systems (436 citations), Neurology (659 citations), Neurology (1.1k citations), Cellular and Molecular Neuroscience (1.5k citations) and Molecular Biology (3.3k 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 Movement Disorders.
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.