Xiaowei Fei

474 citations
28 papers · 309 · h-index 11

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Cancer-related molecular mechanisms research

Papers in

Xiaowei Fei

24 papers receiving 307 citations

Peers

Xiaowei Fei
Comparison fields: 5 of 69
  • Neurology 66
  • Neurology 59
  • Cancer Research 52
  • Immunology 53
  • Developmental Neuroscience 10
Replace Adrian Bălașa with:
Adrian Bălașa Romania
Fangfang Zuo China
Kangyi Yue China
Guodong Xiao China
Jialing Wu China
Min Han China
Mitsunori Ishiguro Japan
Yaoyun Kuang China
Tianchi Tang China
Muyao Wu China
Xiaowei Fei relative to Adrian Bălașa Romania Adrian Bălașa's profile →
Citations per field
00.5×1.6×
Adrian Bălașa · 1×
Citations per year

Countries citing papers authored by Xiaowei Fei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaowei Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaowei Fei, 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 Xiaowei Fei Line = papers co-authored together Xiaowei Fei 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 202255
2 201928
3 202028
4 202026
5 202325
6 201922
7 201921
8 202320
9 202212
10 202112
11 202212
12 20228
13 20246
14 20246
15 20225
16 20235
17 20215
18 20193
19 20233
20 20192

About Xiaowei Fei

Xiaowei Fei is a scholar working on Molecular Biology, Immunology, Neurology, Neurology and Epidemiology, having authored 28 papers that have together received 309 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Intracerebral and Subarachnoid Hemorrhage Research (6 papers), Immune cells in cancer (5 papers), 3D Printing in Biomedical Research (3 papers), RNA modifications and cancer (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Acute Ischemic Stroke Management (2 papers) and Ferroptosis and cancer prognosis (2 papers). The work is most often cited by research in Neurology (66 citations), Neurology (59 citations), Cancer Research (52 citations), Immunology (53 citations) and Developmental Neuroscience (10 citations). Xiaowei Fei has collaborated with scholars based in China and Australia. Frequent co-authors include Xiuquan Wu, Ruxiang Xu, Jialiang Wei, Chongwu Wang, Zhou Fei, Xin He, Xiaojun Fu, Chen Chen, Shuang Wu and Ji Wang. Their work appears in journals such as Journal of Neuroinflammation, Neuroscience, Inflammation Research, Gene and Cellular and Molecular Neurobiology.

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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