Dawei Wang
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
-
- COVID-19 Clinical Research Studies 10
- SARS-CoV-2 and COVID-19 Research 3
- Immunology 10
- T-cell and B-cell Immunology 3
- Co-authors
- Yimei Yin (6 shared papers)Yong-ming Yao (5 shared papers)Cao Hongcui (3 shared papers)Bin Jiang (4 shared papers)Jian Wu (4 shared papers)Jiong Yu (3 shared papers)Lanjuan Li (3 shared papers)Xinguo Zhao (3 shared papers)
- Journals
- Frontiers in Immunology (4 papers)Frontiers in Oncology (3 papers)Biomedical Chromatography (2 papers)Scientific Reports (2 papers)Critical Care (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dawei Wang
117 papers receiving 2.8k citations
Dawei Wang's Hit Papers
Peers
Comparison fields: 5 of 136
- Infectious Diseases 781
- General Dentistry 5
- Complementary and alternative medicine 99
- Hepatology 74
- Neurology 64
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-authors
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
Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 481 | |
| 2 | 2020 | 275 | |
| 3 | 2014 | 127 | |
| 4 | 2016 | 112 | |
| 5 | 2007 | 95 | |
| 6 | 2010 | 89 | |
| 7 | 2020 | 67 | |
| 8 | 2012 | 64 | |
| 9 | 2022 | 62 | |
| 10 | 2014 | 61 | |
| 11 | 2013 | 52 | |
| 12 | Human lifespan changes in the brain’s functional connectome Hit paper breakdown → | 2025 | 46 |
| 13 | 2016 | 44 | |
| 14 | 2020 | 38 | |
| 15 | 2008 | 37 | |
| 16 | 2020 | 37 | |
| 17 | 2015 | 36 | |
| 18 | 2016 | 35 | |
| 19 | 2018 | 35 | |
| 20 | 2017 | 33 |
About Dawei Wang
Dawei Wang is a scholar working on Infectious Diseases, Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Complementary and alternative medicine, having authored 123 papers that have together received 2.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (10 papers), Functional Brain Connectivity Studies (5 papers), Nicotinic Acetylcholine Receptors Study (4 papers), T-cell and B-cell Immunology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Anatomy and Medical Technology (3 papers), Toxoplasma gondii Research Studies (3 papers) and Traditional Chinese Medicine Analysis (3 papers). The work is most often cited by research in Infectious Diseases (781 citations), General Dentistry (5 citations), Complementary and alternative medicine (99 citations), Hepatology (74 citations) and Neurology (64 citations). Dawei Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yimei Yin, Yong-ming Yao, Cao Hongcui, Bin Jiang, Jian Wu, Jiong Yu, Lanjuan Li, Xinguo Zhao, Wei Wang and Jun Liu. Their work appears in journals such as Frontiers in Immunology, Frontiers in Oncology, Biomedical Chromatography, Scientific Reports and Critical Care.
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.