Dahu Wang
Impact in
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- Modeling and Simulation top 10%
Papers in
-
- Viral gastroenteritis research and epidemiology 6
- Viral Infections and Vectors 2
-
- Ocular Surface and Contact Lens 7
- Co-authors
- Jing Zuo (5 shared papers)Fengling Liu (4 shared papers)Zhoubin Zhang (5 shared papers)Zhisong Fan (1 shared paper)Chuanxi Fu (1 shared paper)Ming Wang (2 shared papers)Jianxiong Xu (1 shared paper)Zhicong Yang (4 shared papers)
- Journals
- Frontiers in Medicine (3 papers)BMC Public Health (2 papers)Vaccine (2 papers)Human Vaccines & Immunotherapeutics (2 papers)Tumor Biology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dahu Wang
38 papers receiving 588 citations
Peers
Comparison fields: 5 of 110
- Infectious Diseases 170
- Modeling and Simulation 29
- Cardiology and Cardiovascular Medicine 107
- Cancer Research 68
- Agronomy and Crop Science 42
Countries citing papers authored by Dahu Wang
This map shows the geographic impact of Dahu 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 Dahu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dahu Wang more than expected).
Fields of papers citing papers by Dahu Wang
This network shows the impact of papers produced by Dahu 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 Dahu Wang. The network helps show where Dahu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dahu 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 93 | |
| 2 | 2007 | 71 | |
| 3 | 2015 | 55 | |
| 4 | 2014 | 50 | |
| 5 | 2019 | 37 | |
| 6 | 2016 | 26 | |
| 7 | 2020 | 23 | |
| 8 | 2021 | 22 | |
| 9 | 2019 | 21 | |
| 10 | 2022 | 19 | |
| 11 | 2018 | 18 | |
| 12 | 2013 | 18 | |
| 13 | 2023 | 16 | |
| 14 | 2018 | 16 | |
| 15 | 2020 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2020 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2016 | 11 | |
| 20 | 2020 | 6 |
About Dahu Wang
Dahu Wang is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine, Epidemiology and Molecular Biology, having authored 41 papers that have together received 603 indexed citations. Recurring topics across this work include Ocular Surface and Contact Lens (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Viral Infections and Immunology Research (5 papers), Cancer Cells and Metastasis (2 papers), Viral Infections and Vectors (2 papers), Animal Disease Management and Epidemiology (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Hepatitis Viruses Studies and Epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (170 citations), Modeling and Simulation (29 citations), Cardiology and Cardiovascular Medicine (107 citations), Cancer Research (68 citations) and Agronomy and Crop Science (42 citations). Dahu Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jing Zuo, Fengling Liu, Zhoubin Zhang, Zhisong Fan, Chuanxi Fu, Ming Wang, Jianxiong Xu, Zhicong Yang, Biao Di and Chaojun Xie. Their work appears in journals such as Frontiers in Medicine, BMC Public Health, Vaccine, Human Vaccines & Immunotherapeutics and Tumor Biology.
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.