Xun Xia

496 citations
28 papers · 382 · h-index 11

Impact in

Papers in

    • Circular RNAs in diseases 2
    • Bone Metabolism and Diseases 2
    • MicroRNA in disease regulation 4
    • Cancer-related molecular mechanisms research 3

Xun Xia

28 papers receiving 375 citations

Peers

Xun Xia
Comparison fields: 5 of 81
  • Cancer Research 102
  • Geriatrics and Gerontology 12
  • Neurology 52
  • Molecular Biology 179
  • Complementary and alternative medicine 18
Replace María Cristina Caballero with:
María Cristina Caballero Spain
Jin Zhu China
Xiaofang Li China
Xiyun Bian China
Anding Liu China
Dajun Zhao China
Pilong Shi China
Edit Tanai Hungary
A R Hall United Kingdom
Xun Xia relative to María Cristina Caballero Spain María Cristina Caballero's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xun Xia

Since Specialization
Citations

This map shows the geographic impact of Xun 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 Xun Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun Xia more than expected).

Fields of papers citing papers by Xun Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xun 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 Xun Xia. The network helps show where Xun Xia may publish in the future.

Co-authors

The 25 scholars most cited alongside Xun 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 Xun Xia Line = papers co-authored together Xun Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201490
2 201447
3 201530
4 201628
5 201521
6 202018
7 201416
8 201416
9 200615
10 201314
11 201411
12 201510
13
Genetic predisposition of stroke: understanding the evolving landscape through meta-analysis.
201510
14 201710
15
Bioinformatics analysis of gene expression profiles in the rat cerebral cortex following traumatic brain injury.
20147
16 20167
17 20177
18 20214
19 20234
20 20233

About Xun Xia

Xun Xia is a scholar working on Molecular Biology, Cancer Research, Neurology, Cell Biology and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 382 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (3 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Galectins and Cancer Biology (2 papers), Circular RNAs in diseases (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers) and Bone Metabolism and Diseases (2 papers). The work is most often cited by research in Cancer Research (102 citations), Geriatrics and Gerontology (12 citations), Neurology (52 citations), Molecular Biology (179 citations) and Complementary and alternative medicine (18 citations). Xun Xia has collaborated with scholars based in China. Frequent co-authors include Yong-qin Kuang, Bo Qu, Lin Cheng, Xian‐Ming Pan, Jianwen Gu, Haifeng Shu, Tao Yang, Wentao Yang, Yuan Ma and Hong‐Hua Wu. Their work appears in journals such as International Journal of Gynecological Cancer, Cellular and Molecular Neurobiology, Journal of Molecular Neuroscience, Journal of Biophotonics 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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