Nanping Wu
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology 31
- HIV/AIDS drug development and treatment 13
- Virology top 2%
- HIV Research and Treatment 34
- Agronomy and Crop Science top 1%
- Animal Disease Management and Epidemiology 46
- Epidemiology top 2%
- Influenza Virus Research Studies 67
- Respiratory viral infections research 22
- Structural Biology top 5%
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- Immune Cell Function and Interaction 12
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- Animal Virus Infections Studies 12
- Co-authors
- Linfang ChengHangping YaoXiangyun LuChangzhong JinLanjuan LiHaibo WuTiansheng XieXiaorong Peng
- Journals
- Archives of Virology (20 papers)Virus Genes (9 papers)Infection Genetics and Evolution (7 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Nanping Wu
157 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Infectious Diseases 1.4k
- Virology 247
- Agronomy and Crop Science 509
- Epidemiology 1.1k
- Structural Biology 30
Countries citing papers authored by Nanping Wu
This map shows the geographic impact of Nanping Wu'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 Nanping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanping Wu more than expected).
Fields of papers citing papers by Nanping Wu
This network shows the impact of papers produced by Nanping Wu. 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 Nanping Wu. The network helps show where Nanping Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nanping Wu, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 5 | |
| 9 | 2022 | 15 | |
| 10 | 2021 | 24 | |
| 11 | 2017 | 5 | |
| 12 | 2017 | 8 | |
| 13 | 2016 | 2 | |
| 14 | 2016 | 11 | |
| 15 | 2016 | 9 | |
| 16 | 2016 | 7 | |
| 17 | 2016 | 12 | |
| 18 | 2015 | 43 | |
| 19 | 2011 | 16 | |
| 20 | HIV-1 infected Germans have more variations on neck region of DC-specific intercellular adhesion molecule-3-grabbing nonintegrin than HIV-1 infected Chinese. | 2008 | 3 |
About Nanping Wu
Nanping Wu is a scholar working on Virology, Agronomy and Crop Science, Infectious Diseases, Epidemiology and Immunology, having authored 166 papers that have together received 2.7k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (67 papers), Animal Disease Management and Epidemiology (46 papers), HIV Research and Treatment (34 papers), Viral gastroenteritis research and epidemiology (31 papers), Respiratory viral infections research (22 papers), HIV/AIDS drug development and treatment (13 papers), Immune Cell Function and Interaction (12 papers) and Animal Virus Infections Studies (12 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Virology (247 citations), Agronomy and Crop Science (509 citations), Epidemiology (1.1k citations) and Structural Biology (30 citations). Nanping Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Linfang Cheng, Hangping Yao, Xiangyun Lu, Changzhong Jin, Lanjuan Li, Haibo Wu, Tiansheng Xie, Xiaorong Peng, Tian-Hao Weng and Danrong Shi. Their work appears in journals such as Archives of Virology, Virus Genes, Infection Genetics and Evolution, Scientific Reports and Journal of Clinical Virology.
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.