Dawei Dai

513 citations
11 papers · 366 · h-index 9

Impact in

Papers in

    • Pain Mechanisms and Treatments 3
    • Alzheimer's disease research and treatments 1
    • Traumatic Brain Injury and Neurovascular Disturbances 1

Dawei Dai

11 papers receiving 360 citations

Peers

Dawei Dai
Comparison fields: 5 of 80
  • Modeling and Simulation 85
  • Health, Toxicology and Mutagenesis 100
  • Global and Planetary Change 134
  • Biological Psychiatry 10
  • Neurology 22
Replace Shuwan Xu with:
Shuwan Xu China
Wenning Li China
Giovani L. Silva Portugal
Venkateswari Ramesh India
Alex Hopkins United States
Tongqiang Liu China
Jonathan Baker United Kingdom
Hisanori Fukunaga Japan
Haochen Wang China
Dawei Dai relative to Shuwan Xu China Shuwan Xu's profile →
Citations per field
00.5×
Shuwan Xu · 1×
Citations per year

Countries citing papers authored by Dawei Dai

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2020218
2 200933
3 201826
4 201421
5 200816
6 201815
7 201912
8
Upregulation of neuregulin-1 reverses signs of neuropathic pain in rats.
201410
9 20138
10 20136
11 20241

About Dawei Dai

Dawei Dai is a scholar working on Physiology, Neurology, Surgery, Genetics and Pathology and Forensic Medicine, having authored 11 papers that have together received 366 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (3 papers), Alzheimer's disease research and treatments (1 paper), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Spinal Dysraphism and Malformations (1 paper), Amino Acid Enzymes and Metabolism (1 paper), Nerve injury and regeneration (1 paper), Cancer Treatment and Pharmacology (1 paper) and COVID-19 impact on air quality (1 paper). The work is most often cited by research in Modeling and Simulation (85 citations), Health, Toxicology and Mutagenesis (100 citations), Global and Planetary Change (134 citations), Biological Psychiatry (10 citations) and Neurology (22 citations). Dawei Dai has collaborated with scholars based in China and South Korea. Frequent co-authors include Zhuang Ma, Yanjun Guan, He Li, Zhenyu Huang, Keshen Li, Binyou Wang, Lifen Yao, Songpo Yao, Sheng‐Yuan Liu and Junyu Wang. Their work appears in journals such as Brazilian Journal of Medical and Biological Research, Dementia and Geriatric Cognitive Disorders, Frontiers in Neurology, Neurological Sciences and International Journal of Infectious Diseases.

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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