Hanzhong Wang
- Infectious Diseases top 0.5%
- Viral Infections and Vectors 11
- SARS-CoV-2 and COVID-19 Research 7
- Viral gastroenteritis research and epidemiology 2
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies 6
- Modeling and Simulation top 1%
- Virology top 5%
- Agronomy and Crop Science top 5%
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- Mosquito-borne diseases and control 13
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- Vector-borne infectious diseases 5
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- Virology and Viral Diseases 3
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- Viral Infections and Immunology Research 3
- Co-authors
- Zhìhóng HúZheng‐Li ShiLin‐Fa WangCraig SmithWendong LiGary CrameriBryan T. EatonJennifer A. McEachern
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Hanzhong Wang
30 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Infectious Diseases 2.0k
- Animal Science and Zoology 646
- Modeling and Simulation 224
- Virology 140
- Agronomy and Crop Science 170
Countries citing papers authored by Hanzhong Wang
This map shows the geographic impact of Hanzhong 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 Hanzhong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanzhong Wang more than expected).
Fields of papers citing papers by Hanzhong Wang
This network shows the impact of papers produced by Hanzhong 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 Hanzhong Wang. The network helps show where Hanzhong Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hanzhong 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 39 | |
| 11 | 2020 | 14 | |
| 12 | 2019 | 34 | |
| 13 | 2018 | 69 | |
| 14 | 2016 | 25 | |
| 15 | 2015 | 8 | |
| 16 | 2010 | 73 | |
| 17 | 2009 | 16 | |
| 18 | 2007 | 47 | |
| 19 | Bats Are Natural Reservoirs of SARS-Like Coronavirusesbreakdown → | 2005 | 1780 |
| 20 | 2005 | 127 |
About Hanzhong Wang
Hanzhong Wang is a scholar working on Infectious Diseases, Parasitology and Animal Science and Zoology, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (13 papers), Viral Infections and Vectors (11 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Animal Virus Infections Studies (6 papers), Vector-borne infectious diseases (5 papers), Virology and Viral Diseases (3 papers), Viral Infections and Immunology Research (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Animal Science and Zoology (646 citations) and Modeling and Simulation (224 citations). Hanzhong Wang has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Zhìhóng Hú, Zheng‐Li Shi, Lin‐Fa Wang, Craig Smith, Wendong Li, Gary Crameri, Bryan T. Eaton, Jennifer A. McEachern, Huajun Zhang and Wuze Ren. Their work appears in journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.
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.