Xu Xia

719 citations
15 papers · 584 · h-index 8

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Amyotrophic Lateral Sclerosis Research
    • Neurological diseases and metabolism
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • RNA Interference and Gene Delivery 5
    • RNA Research and Splicing 2
    • CRISPR and Genetic Engineering 2
    • Amyotrophic Lateral Sclerosis Research 3

Xu Xia

15 papers receiving 573 citations

Peers

Xu Xia
Comparison fields: 5 of 65
  • Neurology 328
  • Genetics 121
  • Cellular and Molecular Neuroscience 188
  • Neurology 79
  • Molecular Biology 286
Replace Karin Görner with:
Karin Görner Germany
Amr Al‐Saif United States
Hongru Zhou China
I‐Fang Wang Taiwan
Emily Foran United States
R. Wagey Canada
Mito Shiote Japan
Debbie Swing United States
Seiya Tokunaga United States
Jun-ichi Niwa Japan
Xu Xia relative to Karin Görner Germany Karin Görner's profile →
Citations per field
00.5×1.5×
Karin Görner · 1×
Citations per year

Countries citing papers authored by Xu Xia

Since Specialization
Citations

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

Fields of papers citing papers by Xu Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2001195
2 2010161
3 200775
4 200143
5 200536
6 200925
7 200516
8 201812
9 20176
10 20055
11
Research Development of Antibacterial and Antifungal Agent of Leather
20053
12 20053
13 20052
14
MRSA‐PBP2aのトランスペプチダーゼ領域に対するモノクローナル抗体の調製,特性化,および予備適用
20071
15
Preparation and Antimicrobial Activity of Chitosan-g-DMAE-BC
20061

About Xu Xia

Xu Xia is a scholar working on Molecular Biology, Neurology, Cancer Research, Genetics and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 584 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Breast Cancer Treatment Studies (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), HER2/EGFR in Cancer Research (2 papers), RNA Research and Splicing (2 papers), CRISPR and Genetic Engineering (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Neurology (328 citations), Genetics (121 citations), Cellular and Molecular Neuroscience (188 citations), Neurology (79 citations) and Molecular Biology (286 citations). Xu Xia has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Jörg B. Schulz, Thomas Harding, Michael Weller, James B. Uney, Zuoshang Xu, Hongxia Zhou, Carlisle P. Landel, Cao Huang, Robert Bowser and Han Chen. Their work appears in journals such as Journal of Neurochemistry, PLoS Genetics, International Journal of Biological Sciences, Neurodegenerative Diseases and Medicine.

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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