Xing Wei

1.1k citations
44 papers · 735 · h-index 16

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Xing Wei

43 papers receiving 728 citations

Peers

Xing Wei
Comparison fields: 5 of 99
  • Aging 86
  • Neurology 92
  • Sensory Systems 52
  • Cellular and Molecular Neuroscience 164
  • Endocrine and Autonomic Systems 40
Replace Weidong Wang with:
Weidong Wang United States
Eva Teuling Netherlands
Daniel G. Taub United States
Takatoshi Matsushita Japan
Johnna Doherty United States
Loredana Elena Stoica Romania
Somasish Ghosh Dastidar India
Maxim V. Ivannikov United States
Roberto Simone United Kingdom
Carmen Sanz Spain
Xing Wei relative to Weidong Wang United States Weidong Wang's profile →
Citations per field
00.5×3.3×
Weidong Wang · 1×
Citations per year

Countries citing papers authored by Xing Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xing Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201285
2 200565
3 200361
4 201256
5 200949
6 201539
7 200533
8 202232
9 201431
10 201430
11 202029
12 201223
13
MiR-181a influences the cognitive function of epileptic rats induced by pentylenetetrazol.
201523
14 201722
15 201018
16 201515
17 202011
18 200610
19 201810
20 20208

About Xing Wei

Xing Wei is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Cancer Research and Neurology, having authored 44 papers that have together received 735 indexed citations. Recurring topics across this work include Retinal Development and Disorders (12 papers), CRISPR and Genetic Engineering (7 papers), MicroRNA in disease regulation (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Cellular transport and secretion (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Pluripotent Stem Cells Research (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (86 citations), Neurology (92 citations), Sensory Systems (52 citations), Cellular and Molecular Neuroscience (164 citations) and Endocrine and Autonomic Systems (40 citations). Xing Wei has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yansheng Du, Martin R. Farlow, Kang Shen, Christopher J. Potter, Liqun Luo, Richard Dodel, Tian Zhu, Liming Zhao, Shijing Wu and Xixia Liu. Their work appears in journals such as Experimental Eye Research, Stem Cell Research, Life Sciences, Documenta Ophthalmologica and Stem Cells and Development.

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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