Wen Wang

6.4k citations
204 papers · 4.9k indexed · h-index 39

Impact in

  • Neurology top 1%
    • Brain Tumor Detection and Classification
    • Barrier Structure and Function Studies
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Wen Wang

195 papers receiving 4.8k citations

Peers

Wen Wang
Comparison fields: 5 of 180
  • Neurology 760
  • Behavioral Neuroscience 182
  • Genetics 539
  • Biological Psychiatry 111
  • Radiology, Nuclear Medicine and Imaging 867
Replace Elna‐Marie Larsson with:
Elna‐Marie Larsson Sweden
Tjalf Ziemssen Germany
Saburo Sakoda Japan
EX Wu Hong Kong
Axel Petzold United Kingdom
Eric Achten Belgium
Bernard M.J. Uitdehaag Netherlands
Min Goo Lee South Korea
Michael Hutchinson Ireland
Achim Berthele Germany
Wen Wang relative to Elna‐Marie Larsson Sweden Elna‐Marie Larsson's profile →
Citations per field
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Elna‐Marie Larsson · 1×
Citations per year

Countries citing papers authored by Wen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
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14 202047
15 201920
16 201967
17
Effects of artemisinin on apoptosis and differentiation of human leukemia U937 cells
20081
18
[Bone density of calcaneus of 2769 healthy persons in Zhejiang province].
20063
19
The Change of Mortality of Stroke after Community-based Intervention Trial for Nine Years in Three Cities of China
20021
20
The change in incidence of stroke after a community-based intervention for nine years in three cities of China
20025

About Wen Wang

Wen Wang is a scholar working on Neurology, Cognitive Neuroscience, Behavioral Neuroscience, Cellular and Molecular Neuroscience and Genetics, having authored 204 papers that have together received 4.9k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (27 papers), Functional Brain Connectivity Studies (22 papers), Glioma Diagnosis and Treatment (17 papers), Neuroscience and Neuropharmacology Research (16 papers), Advanced Neuroimaging Techniques and Applications (14 papers), EEG and Brain-Computer Interfaces (14 papers), Neuropeptides and Animal Physiology (13 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). The work is most often cited by research in Neurology (760 citations), Behavioral Neuroscience (182 citations), Genetics (539 citations), Biological Psychiatry (111 citations) and Radiology, Nuclear Medicine and Imaging (867 citations). Wen Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Guangbin Cui, Lin‐Feng Yan, Ronald T. Borchardt, William L. Dentler, Yu‐Chuan Hu, Shengxi Wu, Bo Hu, Yu Han, Yun-Qing Li and Hai‐Yan Nan. Their work appears in journals such as PLoS ONE, Frontiers in Neuroscience, Frontiers in Neurology, Oncotarget and Frontiers in Neuroanatomy.

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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