Allen Wing‐Ho Chu
- Infectious Diseases top 1%
- Modeling and Simulation top 2%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Neurology top 10%
- Co-authors
- Jonathan Daniel IpKelvin Kai‐Wang ToWan-Mui ChanKwok‐Yung YuenKwok‐Hung ChanVincent Chi‐Chung ChengIvan Fan‐Ngai HungHoi‐Wah Tsoi
- Topics
- SARS-CoV-2 and COVID-19 Research (19 papers)SARS-CoV-2 detection and testing (15 papers)COVID-19 Clinical Research Studies (7 papers)
In The Last Decade
Allen Wing‐Ho Chu
23 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Infectious Diseases 968
- Modeling and Simulation 189
- Molecular Biology 148
- Pulmonary and Respiratory Medicine 105
- Neurology 101
Countries citing papers authored by Allen Wing‐Ho Chu
This map shows the geographic impact of Allen Wing‐Ho Chu'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 Allen Wing‐Ho Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allen Wing‐Ho Chu more than expected).
Fields of papers citing papers by Allen Wing‐Ho Chu
This network shows the impact of papers produced by Allen Wing‐Ho Chu. 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 Allen Wing‐Ho Chu. The network helps show where Allen Wing‐Ho Chu may publish in the future.
Co-authorship network of co-authors of Allen Wing‐Ho Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Allen Wing‐Ho Chu. A scholar is included among the top collaborators of Allen Wing‐Ho Chu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Allen Wing‐Ho Chu. Allen Wing‐Ho Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 65 | |
| 7 | 2 | |
| 8 | 29 | |
| 9 | 6 | |
| 10 | 41 | |
| 11 | 32 | |
| 12 | 4 | |
| 13 | 6 | |
| 14 | SARS-CoV-2 Omicron variant shows less efficient replication and fusion activity when compared with Delta variant in TMPRSS2-expressed cellsbreakdown → | 257 |
| 15 | 54 | |
| 16 | Unique SARS-CoV-2 clusters causing a large COVID-19 outbreak in Hong Kong. | 9 |
| 17 | 21 | |
| 18 | 46 | |
| 19 | Coronavirus Disease 2019 (COVID-19) Re-infection by a Phylogenetically Distinct Severe Acute Respiratory Syndrome Coronavirus 2 Strain Confirmed by Whole Genome Sequencingbreakdown → | 449 |
| 20 | 27 |
About Allen Wing‐Ho Chu
Allen Wing‐Ho Chu is a scholar working on Infectious Diseases, Animal Science and Zoology and Modeling and Simulation, having authored 23 papers that have together received 1.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (19 papers), SARS-CoV-2 detection and testing (15 papers) and COVID-19 Clinical Research Studies (7 papers). The work is most often cited by research in Infectious Diseases (968 citations), Modeling and Simulation (189 citations) and General Dentistry (24 citations). Allen Wing‐Ho Chu has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Jonathan Daniel Ip, Kelvin Kai‐Wang To, Wan-Mui Chan, Kwok‐Yung Yuen, Kwok‐Hung Chan, Vincent Chi‐Chung Cheng, Ivan Fan‐Ngai Hung, Hoi‐Wah Tsoi, Wing‐Kin To and Kin‐Hang Kok. Their work appears in journals such as Nature Communications, Clinical Infectious Diseases and Journal of Hazardous Materials.
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.