Dawei Dai

509 citations
11 papers · 354 · h-index 9

Impact in

Papers in

    • Botulinum Toxin and Related Neurological Disorders 2
    • Traumatic Brain Injury and Neurovascular Disturbances 2
    • Pain Mechanisms and Treatments 3

Dawei Dai

10 papers receiving 347 citations

Peers

Dawei Dai
Comparison fields: 5 of 86
  • Modeling and Simulation 89
  • Health, Toxicology and Mutagenesis 111
  • Global and Planetary Change 146
  • Biological Psychiatry 13
  • Neurology 26
Replace Wen-Yeh Hsieh with:
Wen-Yeh Hsieh Taiwan
Chongxu Zhang United States
Giovani L. Silva Portugal
Qiuhong Man China
Haochen Wang China
Evgeniya S. Grigoryeva Russia
Jonathan Baker United Kingdom
Gianfranco De Girolamo Italy
Xizhou An China
Hisanori Fukunaga Japan
Dawei Dai relative to Wen-Yeh Hsieh Taiwan Wen-Yeh Hsieh's profile →
Citations per field
00.5×6.5×
Wen-Yeh Hsieh · 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 2020209
2 200933
3 201826
4 201421
5 200816
6 201815
7 201912
8
Upregulation of neuregulin-1 reverses signs of neuropathic pain in rats.
20149
9 20138
10 20135
11 20240

About Dawei Dai

Dawei Dai is a scholar working on Neurology, Physiology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 11 papers that have together received 354 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (3 papers), Cancer Treatment and Pharmacology (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), GDF15 and Related Biomarkers (2 papers), Glioma Diagnosis and Treatment (2 papers), Nerve injury and regeneration (1 paper) and COVID-19 impact on air quality (1 paper). The work is most often cited by research in Modeling and Simulation (89 citations), Health, Toxicology and Mutagenesis (111 citations), Global and Planetary Change (146 citations), Biological Psychiatry (13 citations) and Neurology (26 citations). Dawei Dai has collaborated with scholars based in China and South Korea. Frequent co-authors include Zhuang Ma, Zhenyu Huang, Yanjun Guan, He Li, Lifen Yao, Binyou Wang, Keshen Li, Junyu Wang, Sheng‐Yuan Liu and Yicheng Lu. Their work appears in journals such as Dementia and Geriatric Cognitive Disorders, Brazilian Journal of Medical and Biological Research, Neurological Sciences, International Journal of Infectious Diseases and PLoS ONE.

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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