Alan Wu
- Infectious Diseases top 0.1%
- COVID-19 Clinical Research Studies 22
- SARS-CoV-2 and COVID-19 Research 18
- Viral gastroenteritis research and epidemiology 8
- Modeling and Simulation top 0.5%
- Neurology top 0.5%
- Long-Term Effects of COVID-19 6
- Microbiology top 2%
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- Respiratory viral infections research 19
- Pneumonia and Respiratory Infections 6
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- Bacterial Identification and Susceptibility Testing 9
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- Infections and bacterial resistance 7
- Co-authors
- Joseph J.�Y. SungNelson LeeDavid S.C. HuiPaul K.S. ChanKa‐Fai ToKwok‐Yung YuenAnil T. AhujaPeter Cameron
- Journals
- Clinical Infectious Diseases (5 papers)Journal of Clinical Microbiology (5 papers)Emerging infectious diseases (5 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Alan Wu
81 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Infectious Diseases 5.2k
- Modeling and Simulation 546
- Neurology 1.5k
- Microbiology 49
- Critical Care and Intensive Care Medicine 286
Countries citing papers authored by Alan Wu
This map shows the geographic impact of Alan 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 Alan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Wu more than expected).
Fields of papers citing papers by Alan Wu
This network shows the impact of papers produced by Alan 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 Alan Wu. The network helps show where Alan Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alan 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 | 2021 | 3 | |
| 2 | 2020 | 346 | |
| 3 | Unique SARS-CoV-2 clusters causing a large COVID-19 outbreak in Hong Kong. | 2020 | 9 |
| 4 | 2020 | 37 | |
| 5 | 2020 | 34 | |
| 6 | 2019 | 6 | |
| 7 | 2018 | 51 | |
| 8 | 2017 | 8 | |
| 9 | 2016 | 36 | |
| 10 | 2016 | 31 | |
| 11 | 2015 | 40 | |
| 12 | 2015 | 3 | |
| 13 | 2012 | 19 | |
| 14 | 2012 | 22 | |
| 15 | 2005 | 27 | |
| 16 | 2004 | 34 | |
| 17 | 2004 | 67 | |
| 18 | 2004 | 13 | |
| 19 | 2003 | 210 | |
| 20 | 2001 | 92 |
About Alan Wu
Alan Wu is a scholar working on Microbiology, Infectious Diseases and Endocrinology, having authored 81 papers that have together received 7.5k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (22 papers), Respiratory viral infections research (19 papers), SARS-CoV-2 and COVID-19 Research (18 papers), Bacterial Identification and Susceptibility Testing (9 papers), Viral gastroenteritis research and epidemiology (8 papers), Infections and bacterial resistance (7 papers), Pneumonia and Respiratory Infections (6 papers) and Long-Term Effects of COVID-19 (6 papers). The work is most often cited by research in Infectious Diseases (5.2k citations), Modeling and Simulation (546 citations) and Neurology (1.5k citations). Alan Wu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Joseph J.�Y. Sung, Nelson Lee, David S.C. Hui, Paul K.S. Chan, Ka‐Fai To, Kwok‐Yung Yuen, Anil T. Ahuja, Peter Cameron, C. B. Leung and Gavin M. Joynt. Their work appears in journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology, Emerging infectious diseases, Radiology and Frontiers in Microbiology.
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.