Kun Xia

1.6k citations
42 papers · 1.1k · h-index 17

Impact in

Papers in

    • Congenital heart defects research 4
    • CRISPR and Genetic Engineering 3
    • Genetics and Neurodevelopmental Disorders 11
    • Genomic variations and chromosomal abnormalities 5

Kun Xia

38 papers receiving 1.1k citations

Peers

Kun Xia
Comparison fields: 5 of 113
  • Neurology 178
  • Cognitive Neuroscience 222
  • Genetics 320
  • Molecular Biology 576
  • Cell Biology 122
Replace Anthony J. Griswold with:
Anthony J. Griswold United States
Cengiz Yalçınkaya Türkiye
Claude Marineau Canada
Martin Graf Switzerland
Yinghua Zhu China
Xinhua Bao China
Mercédes Pineda Spain
F. Lucy Raymond United Kingdom
Cristina Cheroni Italy
Donna M. Krasnewich United States
Kun Xia relative to Anthony J. Griswold United States Anthony J. Griswold's profile →
Citations per field
00.5×2.8×
Anthony J. Griswold · 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 2009311
2 2020105
3 201768
4 201867
5 201559
6 201355
7 201842
8
Progressive polymorphic congenital cataract caused by a CRYBB2 mutation in a Chinese family.
200539
9 201538
10 202033
11 201430
12 201629
13
miR-199a-5p regulates the expression of metastasis-associated genes in B16F10 melanoma cells.
201428
14 201824
15 201822
16 201820
17 201717
18 201616
19 201513
20 201312

About Kun Xia

Kun Xia is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Organic Chemistry and Cell Biology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (11 papers), Genetics and Neurodevelopmental Disorders (11 papers), Genomic variations and chromosomal abnormalities (5 papers), Congenital heart defects research (4 papers), Radical Photochemical Reactions (4 papers), Cancer-related molecular mechanisms research (4 papers), CRISPR and Genetic Engineering (3 papers) and Sulfur-Based Synthesis Techniques (3 papers). The work is most often cited by research in Neurology (178 citations), Cognitive Neuroscience (222 citations), Genetics (320 citations), Molecular Biology (576 citations) and Cell Biology (122 citations). Kun Xia has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Linan Chen, Chengyuan Tang, Ze’ev A. Ronai, Hong Ma, Danling Wang, Xiaoxi Zhuang, Wei Jiang, Hui Xiong, Zhuohua Zhang and Zhong Sheng Sun. Their work appears in journals such as The Journal of Organic Chemistry, Ophthalmic Genetics, Gene, Molecular Psychiatry and Scientific Reports.

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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