Dawei Wang
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies 12
- SARS-CoV-2 and COVID-19 Research 6
- Neurology top 5%
- Long-Term Effects of COVID-19 7
- Biological Psychiatry top 10%
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- Radiomics and Machine Learning in Medical Imaging 8
- Advanced MRI Techniques and Applications 5
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- Nicotinic Acetylcholine Receptors Study 7
- Receptor Mechanisms and Signaling 5
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- Functional Brain Connectivity Studies 5
- Co-authors
- Yimei YinYong-ming YaoBin JiangJian WuXinguo ZhaoJiong YuHongcui CaoLanjuan Li
- Journals
- Frontiers in Immunology (4 papers)Scientific Reports (2 papers)Frontiers in Bioengineering and Biotechnology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Dawei Wang
112 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Infectious Diseases 795
- Neurology 403
- Endocrine and Autonomic Systems 109
- Biological Psychiatry 38
- Critical Care and Intensive Care Medicine 76
Countries citing papers authored by Dawei Wang
This map shows the geographic impact of Dawei 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 Dawei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Wang more than expected).
Fields of papers citing papers by Dawei Wang
This network shows the impact of papers produced by Dawei 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 Dawei Wang. The network helps show where Dawei Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dawei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 12 | |
| 13 | 2020 | 30 | |
| 14 | PTPN9 induces cell apoptosis by mitigating the activation of Stat3 and acts as a tumor suppressor in colorectal cancer | 2019 | 2 |
| 15 | 2017 | 17 | |
| 16 | 2013 | 47 | |
| 17 | 2010 | 4 | |
| 18 | 2007 | 85 | |
| 19 | 2005 | 2 | |
| 20 | The effect of the extracts of Achyranthes bidentata Bl. on proliferation of osteoblast-like UMR 106 cells | 2000 | 2 |
About Dawei Wang
Dawei Wang is a scholar working on Infectious Diseases, Biological Psychiatry and Radiology, Nuclear Medicine and Imaging, having authored 119 papers that have together received 2.5k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Long-Term Effects of COVID-19 (7 papers), Nicotinic Acetylcholine Receptors Study (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Receptor Mechanisms and Signaling (5 papers), Functional Brain Connectivity Studies (5 papers) and Advanced MRI Techniques and Applications (5 papers). The work is most often cited by research in Infectious Diseases (795 citations), Neurology (403 citations) and Endocrine and Autonomic Systems (109 citations). Dawei Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yimei Yin, Yong-ming Yao, Bin Jiang, Jian Wu, Xinguo Zhao, Jiong Yu, Hongcui Cao, Lanjuan Li, Chengyuan Liu and Wei Xu. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, Frontiers in Bioengineering and Biotechnology, Critical Care and Journal of Pharmaceutical and Biomedical Analysis.
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.