Ying-Bin Wang
Impact in
- Hepatology top 10%
- Hepatitis Viruses Studies and Epidemiology
- Hepatitis C virus research
-
- Viral gastroenteritis research and epidemiology
Papers in
- Epidemiology 13
- Hepatitis B Virus Studies 7
- Respiratory viral infections research 4
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- Hepatitis Viruses Studies and Epidemiology 7
- Hepatitis C virus research 3
- Co-authors
- Ningshao Xia (19 shared papers)Jun Zhang (12 shared papers)Quan Yuan (6 shared papers)Shengxiang Ge (3 shared papers)Lei Huang (1 shared paper)Zizheng Zheng (7 shared papers)Junfeng Zhao (1 shared paper)Yundou Xu (1 shared paper)
- Journals
- Emerging Microbes & Infections (3 papers)Antiviral Research (2 papers)Viruses (2 papers)Frontiers in Pharmacology (2 papers)Vaccine (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Ying-Bin Wang
29 papers receiving 340 citations
Peers
Comparison fields: 5 of 84
- Hepatology 87
- Infectious Diseases 88
- Epidemiology 119
- Geology 19
- Animal Science and Zoology 15
Countries citing papers authored by Ying-Bin Wang
This map shows the geographic impact of Ying-Bin 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 Ying-Bin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Bin Wang more than expected).
Fields of papers citing papers by Ying-Bin Wang
This network shows the impact of papers produced by Ying-Bin 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 Ying-Bin Wang. The network helps show where Ying-Bin Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying-Bin 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 58 | |
| 2 | 2021 | 30 | |
| 3 | 2020 | 28 | |
| 4 | 2022 | 26 | |
| 5 | 2016 | 26 | |
| 6 | 2010 | 20 | |
| 7 | 2001 | 18 | |
| 8 | 2022 | 17 | |
| 9 | 2020 | 14 | |
| 10 | 2017 | 13 | |
| 11 | 2019 | 13 | |
| 12 | 2018 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2015 | 8 | |
| 15 | 2019 | 8 | |
| 16 | [Analysis of ERG11 gene mutation in Candida albicans]. | 2005 | 7 |
| 17 | 2012 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2019 | 4 | |
| 20 | 2019 | 4 |
About Ying-Bin Wang
Ying-Bin Wang is a scholar working on Epidemiology, Hepatology, Infectious Diseases, Global and Planetary Change and Molecular Biology, having authored 32 papers that have together received 346 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (7 papers), Viral gastroenteritis research and epidemiology (7 papers), Hepatitis Viruses Studies and Epidemiology (7 papers), Marine and fisheries research (4 papers), Respiratory viral infections research (4 papers), Fish Ecology and Management Studies (3 papers), Hepatitis C virus research (3 papers) and Marine Bivalve and Aquaculture Studies (3 papers). The work is most often cited by research in Hepatology (87 citations), Infectious Diseases (88 citations), Epidemiology (119 citations), Geology (19 citations) and Animal Science and Zoology (15 citations). Ying-Bin Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Ningshao Xia, Jun Zhang, Quan Yuan, Shengxiang Ge, Lei Huang, Zizheng Zheng, Junfeng Zhao, Yundou Xu, Jiantao Yao and Yongsheng Zhao. Their work appears in journals such as Emerging Microbes & Infections, Antiviral Research, Viruses, Frontiers in Pharmacology and Vaccine.
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.