Wenwu Zhai
- Immunology top 10%
- T-cell and B-cell Immunology 4
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- Monoclonal and Polyclonal Antibodies Research 7
- Neurology top 10%
- Vascular Malformations Diagnosis and Treatment 3
- Intracranial Aneurysms: Treatment and Complications 2
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- Glycosylation and Glycoproteins Research 2
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- Hepatitis C virus research 3
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- Moyamoya disease diagnosis and treatment 2
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- Chronic Obstructive Pulmonary Disease (COPD) Research 2
- Co-authors
- Jianhua YaoWilliam L. YoungGuo‐Yuan YangArvind RajpalIrene NiDilduz TelmanPurnima SundarJacob Glanville
- Journals
- Proceedings of the National Academy of Sciences (2 papers)PLoS ONE (1 paper)Journal of Molecular Biology (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Wenwu Zhai
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Immunology 365
- Radiology, Nuclear Medicine and Imaging 375
- Neurology 159
- Molecular Biology 543
- Genetics 76
Countries citing papers authored by Wenwu Zhai
This map shows the geographic impact of Wenwu Zhai'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 Wenwu Zhai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenwu Zhai more than expected).
Fields of papers citing papers by Wenwu Zhai
This network shows the impact of papers produced by Wenwu Zhai. 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 Wenwu Zhai. The network helps show where Wenwu Zhai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wenwu Zhai, 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 | 2018 | 8 | |
| 2 | 2017 | 25 | |
| 3 | 2015 | 18 | |
| 4 | 2014 | 50 | |
| 5 | 2012 | 110 | |
| 6 | 2011 | 70 | |
| 7 | 2009 | 339 | |
| 8 | 2006 | 92 | |
| 9 | 2006 | 69 | |
| 10 | 2006 | 46 | |
| 11 | 2005 | 47 | |
| 12 | 2005 | 108 | |
| 13 | 2005 | 16 | |
| 14 | 2004 | 40 | |
| 15 | 2004 | 94 | |
| 16 | 2002 | 96 | |
| 17 | 1999 | 21 | |
| 18 | 1999 | 4 | |
| 19 | 1999 | 12 |
About Wenwu Zhai
Wenwu Zhai is a scholar working on Hepatology, Biotechnology and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), T-cell and B-cell Immunology (4 papers), Hepatitis C virus research (3 papers), Vascular Malformations Diagnosis and Treatment (3 papers), Moyamoya disease diagnosis and treatment (2 papers), Glycosylation and Glycoproteins Research (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Immunology (365 citations), Radiology, Nuclear Medicine and Imaging (375 citations) and Neurology (159 citations). Wenwu Zhai has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jianhua Yao, William L. Young, Guo‐Yuan Yang, Arvind Rajpal, Irene Ni, Dilduz Telman, Purnima Sundar, Jacob Glanville, Li Mei and Jaume Pons. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Molecular Biology.
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.