Fengxia Tu

522 citations
15 papers · 428 · h-index 12

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Neurogenesis and neuroplasticity mechanisms

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 7
    • Neurological Disease Mechanisms and Treatments 3
    • Caveolin-1 and cellular processes 5

Fengxia Tu

15 papers receiving 423 citations

Peers

Fengxia Tu
Comparison fields: 5 of 65
  • Neurology 125
  • Developmental Neuroscience 33
  • Complementary and alternative medicine 52
  • Rehabilitation 35
  • Cell Biology 72
Replace Qiongyi Pang with:
Qiongyi Pang China
Chan Park South Korea
Sheng‐Yang Huang Taiwan
Qiaoyun Wu China
A. Cárdenas Spain
Qinxue Dai China
Charles H. Cohan United States
Carmen Silva-Álvarez Chile
Yannan Fang China
Fengxia Tu relative to Qiongyi Pang China Qiongyi Pang's profile →
Citations per field
00.5×1.5×1.9×
Qiongyi Pang · 1×
Citations per year

Countries citing papers authored by Fengxia Tu

Since Specialization
Citations

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

Fields of papers citing papers by Fengxia Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201463
2 201857
3 201754
4 201745
5 201644
6 201944
7 201724
8 202122
9 201821
10 202114
11 202214
12
[Neuroprotective effects of apigenin on acute transient focal cerebral ischemia-reperfusion injury in rats].
200813
13 202010
14 20252
15 20251

About Fengxia Tu

Fengxia Tu is a scholar working on Neurology, Cell Biology, Molecular Biology, Epidemiology and Complementary and alternative medicine, having authored 15 papers that have together received 428 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Caveolin-1 and cellular processes (5 papers), Neurological Disease Mechanisms and Treatments (3 papers), Traditional Chinese Medicine Analysis (3 papers), Cancer-related molecular mechanisms research (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Signaling Pathways in Disease (2 papers) and Stroke Rehabilitation and Recovery (2 papers). The work is most often cited by research in Neurology (125 citations), Developmental Neuroscience (33 citations), Complementary and alternative medicine (52 citations), Rehabilitation (35 citations) and Cell Biology (72 citations). Fengxia Tu has collaborated with scholars based in China and United States. Frequent co-authors include Qiongyi Pang, Yun Zhao, Xiang Chen, Meixia Liu, Chan Liu, Qiong‐Xiang Zhai, Tingting Huang, Xiang Chen, Zhenzhen Chen and Chan Liu. Their work appears in journals such as Neurochemical Research, Journal of Molecular Neuroscience, Brain Research, Neuroreport and Behavioural Brain Research.

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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