Gui‐Xian Zhao

2.0k citations
35 papers · 1.5k indexed · 1 hit paper · h-index 18

Gui‐Xian Zhao

34 papers receiving 1.5k citations

Hit Papers

MicroRNA miR-326 regulates TH-17 differentiation and is a...6502009202620142020200400600

Peers

Gui‐Xian Zhao
Comparison fields: 5 of 86
  • Cancer Research 417
  • Neurology 296
  • Immunology 372
  • Pathology and Forensic Medicine 315
  • Physiology 70
Replace Matthew C. Havrda with:
Matthew C. Havrda United States
Ji-Ung Jung United States
K. Nguyen United States
Kerstin Troidl Germany
Susanne Kleber Germany
Olga A. Agapova United States
Lauri Miller United States
Joachim R. Göthert Germany
Naoshi Obara Japan
Masahiko Tosaka Japan
Gui‐Xian Zhao relative to Matthew C. Havrda United States Matthew C. Havrda's profile →
Citations per field
00.5×7.7×
Matthew C. Havrda · 1×
Citations per year

Countries citing papers authored by Gui‐Xian Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Gui‐Xian Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gui‐Xian Zhao. 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 Gui‐Xian Zhao. The network helps show where Gui‐Xian Zhao may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20225
3 20216
4 20206
5 202011
6 20186
7 201748
8 201622
9 201636
10 20164
11 201675
12 201512
13 20148
14 201318
15 201035
16
MicroRNA miR-326 regulates TH-17 differentiation and is associated with the pathogenesis of multiple sclerosisbreakdown →
2009650
17 200833
18 20083
19
Mutation analysis of MURRl in Chinese patients with Wilson disease
20061
20 200644

About Gui‐Xian Zhao

Gui‐Xian Zhao is a scholar working on Pathology and Forensic Medicine, Rheumatology and Neurology, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (16 papers), Systemic Lupus Erythematosus Research (9 papers), Peripheral Neuropathies and Disorders (4 papers), Genetic Neurodegenerative Diseases (4 papers), Immunotherapy and Immune Responses (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), Neurological diseases and metabolism (3 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Cancer Research (417 citations), Neurology (296 citations) and Immunology (372 citations). Gui‐Xian Zhao has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Zhi‐Ying Wu, Zhenxin Li, Changsheng Du, Zhiqiang Ye, Gang Pei, Shichao Huang, Jiuhong Kang, Chang Liu, Wan‐Jin Chen and Jie Lv. Their work appears in journals such as Journal of Neurology, Scientific Reports, Gene, The Journal of Immunology and Neuroscience Bulletin.

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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