Dahu Wang
Impact in
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- Viral Infections and Outbreaks Research
- Modeling and Simulation top 10%
Papers in
-
- Viral gastroenteritis research and epidemiology 5
- Viral Infections and Outbreaks Research 2
- COVID-19 Clinical Research Studies 2
-
- Retinal Diseases and Treatments 4
- Glaucoma and retinal disorders 2
- Co-authors
- Jing Zuo (3 shared papers)Fengling Liu (2 shared papers)Zhoubin Zhang (5 shared papers)Zhisong Fan (1 shared paper)Jianxiong Xu (1 shared paper)Ming Wang (2 shared papers)Chuanxi Fu (1 shared paper)Zhicong Yang (4 shared papers)
- Journals
- Frontiers in Medicine (4 papers)Vaccine (2 papers)BMC Public Health (2 papers)Tumor Biology (2 papers)Human Vaccines & Immunotherapeutics (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Dahu Wang
37 papers receiving 662 citations
Peers
Comparison fields: 5 of 99
- Infectious Diseases 195
- Modeling and Simulation 33
- Cancer Research 61
- Health, Toxicology and Mutagenesis 59
- Rheumatology 54
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 97 | |
| 2 | 2007 | 71 | |
| 3 | 2020 | 71 | |
| 4 | 2015 | 55 | |
| 5 | 2014 | 53 | |
| 6 | 2019 | 42 | |
| 7 | 2016 | 26 | |
| 8 | 2020 | 24 | |
| 9 | 2021 | 22 | |
| 10 | 2018 | 21 | |
| 11 | 2019 | 21 | |
| 12 | 2023 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2018 | 17 | |
| 15 | 2020 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2020 | 13 | |
| 18 | 2022 | 13 | |
| 19 | 2016 | 12 | |
| 20 | 2023 | 8 |
About Dahu Wang
Dahu Wang is a scholar working on Infectious Diseases, Ophthalmology, Public Health, Environmental and Occupational Health, Health, Toxicology and Mutagenesis and Modeling and Simulation, having authored 42 papers that have together received 686 indexed citations. Recurring topics across this work include Ocular Surface and Contact Lens (10 papers), Viral gastroenteritis research and epidemiology (5 papers), Retinal Diseases and Treatments (4 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Climate Change and Health Impacts (3 papers), Glaucoma and retinal disorders (2 papers), Viral Infections and Outbreaks Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Infectious Diseases (195 citations), Modeling and Simulation (33 citations), Cancer Research (61 citations), Health, Toxicology and Mutagenesis (59 citations) and Rheumatology (54 citations). Dahu Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jing Zuo, Fengling Liu, Zhoubin Zhang, Zhisong Fan, Jianxiong Xu, Ming Wang, Chuanxi Fu, Zhicong Yang, Biao Di and Kuibiao Li. Their work appears in journals such as Frontiers in Medicine, Vaccine, BMC Public Health, Tumor Biology and Human Vaccines & Immunotherapeutics.
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.