Guoxin Wu
Impact in
- Virology top 5%
- HIV Research and Treatment
- Physiology top 5%
- Alzheimer's disease research and treatments
Papers in ⓘ
-
- Peer-to-Peer Network Technologies 7
- Caching and Content Delivery 7
- Co-authors
- Adam J. Simon (9 shared papers)Sethu Sankaranarayanan (10 shared papers)Robert Newton (2 shared papers)Kimberly A. Solomon (2 shared papers)Sandor S. Shapiro (4 shared papers)Toshiro Takafuta (3 shared papers)Mary J. Savage (10 shared papers)Xu Zhao (1 shared paper)
- Journals
- Alzheimer s & Dementia (5 papers)Bioorganic & Medicinal Chemistry Letters (3 papers)The Journal of Engineering (3 papers)Blood (3 papers)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Guoxin Wu
117 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 163
- Virology 153
- Physiology 662
- Immunology and Allergy 121
- Psychiatry and Mental health 215
- Neurology 115
Countries citing papers authored by Guoxin Wu
This map shows the geographic impact of Guoxin 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 Guoxin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoxin Wu more than expected).
Fields of papers citing papers by Guoxin Wu
This network shows the impact of papers produced by Guoxin 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 Guoxin Wu. The network helps show where Guoxin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoxin 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
Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 182 | |
| 2 | 2014 | 125 | |
| 3 | 1998 | 92 | |
| 4 | 2017 | 83 | |
| 5 | 2007 | 83 | |
| 6 | 2010 | 83 | |
| 7 | Cutting edge: a dominant negative form of TNF-alpha converting enzyme inhibits proTNF and TNFRII secretion. | 1999 | 80 |
| 8 | 1999 | 77 | |
| 9 | 2003 | 65 | |
| 10 | 2010 | 60 | |
| 11 | 1997 | 52 | |
| 12 | 2017 | 50 | |
| 13 | 2012 | 50 | |
| 14 | 2000 | 49 | |
| 15 | 2016 | 46 | |
| 16 | 2008 | 39 | |
| 17 | 2012 | 37 | |
| 18 | 2024 | 36 | |
| 19 | 1993 | 34 | |
| 20 | 2005 | 30 |
About Guoxin Wu
Guoxin Wu is a scholar working on Molecular Biology, Computer Networks and Communications, Physiology, Virology and Control and Systems Engineering, having authored 129 papers that have together received 2.0k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (16 papers), HIV Research and Treatment (15 papers), HIV/AIDS drug development and treatment (11 papers), Peer-to-Peer Network Technologies (7 papers), Platelet Disorders and Treatments (7 papers), Caching and Content Delivery (7 papers), Fault Detection and Control Systems (6 papers) and Machine Fault Diagnosis Techniques (6 papers). The work is most often cited by research in Virology (153 citations), Physiology (662 citations), Immunology and Allergy (121 citations), Psychiatry and Mental health (215 citations) and Neurology (115 citations). Guoxin Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Adam J. Simon, Sethu Sankaranarayanan, Robert Newton, Kimberly A. Solomon, Sandor S. Shapiro, Toshiro Takafuta, Mary J. Savage, Xu Zhao, Bonnie J. Howell and Gëorge F. Murphy. Their work appears in journals such as Alzheimer s & Dementia, Bioorganic & Medicinal Chemistry Letters, The Journal of Engineering, Blood and Journal of Medicinal 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.