Kun Xia
Impact in
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
Papers in
-
- Advanced biosensing and bioanalysis techniques 3
- Ubiquitin and proteasome pathways 2
-
- Autism Spectrum Disorder Research 10
- Co-authors
- Linan Chen (1 shared paper)Ze’ev A. Ronai (1 shared paper)Zhuohua Zhang (1 shared paper)Wei Jiang (1 shared paper)Chengyuan Tang (1 shared paper)Hong Ma (1 shared paper)Danling Wang (1 shared paper)Xiaoxi Zhuang (1 shared paper)
- Journals
- The Journal of Organic Chemistry (4 papers)Molecular Psychiatry (2 papers)Gene (2 papers)Ophthalmic Genetics (2 papers)Public Health (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kun Xia
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 111
- Neurology 185
- Cognitive Neuroscience 210
- Genetics 284
- Molecular Biology 550
- Cellular and Molecular Neuroscience 133
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 321 | |
| 2 | 2020 | 112 | |
| 3 | 2017 | 71 | |
| 4 | 2018 | 67 | |
| 5 | 2015 | 61 | |
| 6 | 2013 | 56 | |
| 7 | 2018 | 42 | |
| 8 | Progressive polymorphic congenital cataract caused by a CRYBB2 mutation in a Chinese family. | 2005 | 39 |
| 9 | 2015 | 39 | |
| 10 | 2020 | 36 | |
| 11 | 2016 | 31 | |
| 12 | 2014 | 31 | |
| 13 | miR-199a-5p regulates the expression of metastasis-associated genes in B16F10 melanoma cells. | 2014 | 28 |
| 14 | 2018 | 25 | |
| 15 | 2018 | 22 | |
| 16 | 2018 | 20 | |
| 17 | 2017 | 17 | |
| 18 | 2016 | 16 | |
| 19 | 2013 | 14 | |
| 20 | 2015 | 14 |
About Kun Xia
Kun Xia is a scholar working on Molecular Biology, Cognitive Neuroscience, Genetics, Organic Chemistry and Cell Biology, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (10 papers), Genetics and Neurodevelopmental Disorders (9 papers), Genomic variations and chromosomal abnormalities (5 papers), Radical Photochemical Reactions (4 papers), Sulfur-Based Synthesis Techniques (4 papers), Chemical Synthesis and Reactions (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Neurology (185 citations), Cognitive Neuroscience (210 citations), Genetics (284 citations), Molecular Biology (550 citations) and Cellular and Molecular Neuroscience (133 citations). Kun Xia has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Linan Chen, Ze’ev A. Ronai, Zhuohua Zhang, Wei Jiang, Chengyuan Tang, Hong Ma, Danling Wang, Xiaoxi Zhuang, Hui Xiong and Zhong Sheng Sun. Their work appears in journals such as The Journal of Organic Chemistry, Molecular Psychiatry, Gene, Ophthalmic Genetics and Public Health.
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.