Kun Xia

1.7k citations
42 papers · 1.2k · h-index 17

Impact in

Papers in

    • Autism Spectrum Disorder Research 10
    • Genetics and Neurodevelopmental Disorders 9
    • Genomic variations and chromosomal abnormalities 5

Kun Xia

41 papers receiving 1.2k citations

Peers

Kun Xia
Comparison fields: 5 of 111
  • Neurology 187
  • Cognitive Neuroscience 217
  • Genetics 287
  • Molecular Biology 557
  • Cellular and Molecular Neuroscience 136
Replace Maria T. Acosta with:
Maria T. Acosta United States
Mari Auranen Finland
Ryoichi Sakuta Japan
Mercédes Pineda Spain
Maria Teresa Fiorenza Italy
Xinhua Bao China
Cristina Cheroni Italy
Vincenzo Capece Germany
Antonella Ferrante Italy
David Matzilevich United States
Kun Xia relative to Maria T. Acosta United States Maria T. Acosta's profile →
Citations per field
00.5×2×2.9×
Maria T. Acosta · 1×
Citations per year

Countries citing papers authored by Kun Xia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kun Xia Line = papers co-authored together Kun Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009325
2 2020122
3 201772
4 201868
5 201560
6 201356
7 201842
8
Progressive polymorphic congenital cataract caused by a CRYBB2 mutation in a Chinese family.
200539
9 201538
10 202036
11 201433
12 201631
13
miR-199a-5p regulates the expression of metastasis-associated genes in B16F10 melanoma cells.
201428
14 201827
15 201823
16 201820
17 201718
18 201616
19 202515
20 201314

About Kun Xia

Kun Xia is a scholar working on Cognitive Neuroscience, Genetics, Molecular Biology, Organic Chemistry and Cell Biology, having authored 42 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 CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Neurology (187 citations), Cognitive Neuroscience (217 citations), Genetics (287 citations), Molecular Biology (557 citations) and Cellular and Molecular Neuroscience (136 citations). Kun Xia has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hong Ma, Wei Bo Jiang, Danling Wang, Xiaoxi Zhuang, Chengyuan Tang, Zhuohua Zhang, Ze’ev A. Ronai, Hui Yuan Xiong, Linan Chen and J. Li. Their work appears in journals such as The Journal of Organic Chemistry, Molecular Psychiatry, Gene, Ophthalmic Genetics 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.

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