Yanhua Wang
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
-
- interferon and immune responses
- T-cell and Retrovirus Studies
Papers in
- Immunology 12
- T-cell and Retrovirus Studies 7
- Galectins and Cancer Biology 3
-
- Vector-Borne Animal Diseases 6
- Co-authors
- Kiira Ratia (1 shared paper)Bridget S. Banach (1 shared paper)Andrew D. Mesecar (1 shared paper)Zhongbin Chen (1 shared paper)Mark A. Clementz (1 shared paper)Jun Takayama (1 shared paper)Arun K. Ghosh (1 shared paper)Jie Wang (1 shared paper)
- Journals
- Clinical & Translational Oncology (1 paper)Leukemia Research (1 paper)Cancer Medicine (1 paper)Journal of Molecular Cell Biology (1 paper)Cancers (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yanhua Wang
15 papers receiving 376 citations
Peers
Comparison fields: 5 of 55
- Infectious Diseases 161
- Immunology 173
- Animal Science and Zoology 70
- Agronomy and Crop Science 36
- Otorhinolaryngology 12
Countries citing papers authored by Yanhua Wang
This map shows the geographic impact of Yanhua 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 Yanhua Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanhua Wang more than expected).
Fields of papers citing papers by Yanhua Wang
This network shows the impact of papers produced by Yanhua 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 Yanhua Wang. The network helps show where Yanhua Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanhua 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 | 2010 | 256 | |
| 2 | 2015 | 32 | |
| 3 | 2016 | 29 | |
| 4 | 2016 | 20 | |
| 5 | 2006 | 11 | |
| 6 | 2017 | 8 | |
| 7 | 2018 | 6 | |
| 8 | 2021 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2022 | 2 | |
| 12 | 2019 | 2 | |
| 13 | 2020 | 2 | |
| 14 | 2019 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2023 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2023 | 0 |
About Yanhua Wang
Yanhua Wang is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Pathology and Forensic Medicine and Neurology, having authored 19 papers that have together received 378 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (7 papers), Vector-Borne Animal Diseases (6 papers), Galectins and Cancer Biology (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Animal Disease Management and Epidemiology (3 papers), Cancer-related gene regulation (2 papers), CNS Lymphoma Diagnosis and Treatment (2 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (1 paper). The work is most often cited by research in Infectious Diseases (161 citations), Immunology (173 citations), Animal Science and Zoology (70 citations), Agronomy and Crop Science (36 citations) and Otorhinolaryngology (12 citations). Yanhua Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kiira Ratia, Bridget S. Banach, Andrew D. Mesecar, Zhongbin Chen, Mark A. Clementz, Jun Takayama, Arun K. Ghosh, Jie Wang, Li Sun and Susan C. Baker. Their work appears in journals such as Clinical & Translational Oncology, Leukemia Research, Cancer Medicine, Journal of Molecular Cell Biology and Cancers.
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.