Hin Chu
- Infectious Diseases top 0.05%
- SARS-CoV-2 and COVID-19 Research 48
- COVID-19 Clinical Research Studies 25
- Viral gastroenteritis research and epidemiology 14
- Modeling and Simulation top 0.5%
- Neurology top 1%
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies 11
- Immunology top 2%
- interferon and immune responses 18
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- Influenza Virus Research Studies 26
- Respiratory viral infections research 18
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- HIV Research and Treatment 12
- Co-authors
- Jasper Fuk‐Woo ChanKwok‐Yung YuenKelvin Kai‐Wang ToShuofeng YuanKin‐Hang KokZheng ZhuJie ZhouJian‐Piao Cai
- Journals
- Emerging Microbes & Infections (14 papers)The Journal of Infectious Diseases (8 papers)Clinical Infectious Diseases (7 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Hin Chu
125 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Infectious Diseases 6.3k
- Modeling and Simulation 549
- Neurology 1.2k
- Animal Science and Zoology 755
- Immunology 1.3k
Countries citing papers authored by Hin Chu
This map shows the geographic impact of Hin 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 Hin Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hin Chu more than expected).
Fields of papers citing papers by Hin Chu
This network shows the impact of papers produced by Hin 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 Hin Chu. The network helps show where Hin Chu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hin Chu, 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 | 1 | |
| 2 | 2024 | 33 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 3 | |
| 5 | Antibody evasion properties of SARS-CoV-2 Omicron sublineagesbreakdown → | 2022 | 478 |
| 6 | 2022 | 44 | |
| 7 | 2021 | 13 | |
| 8 | Genomic characterization of the 2019 novel human-pathogenic coronavirus isolated from a patient with atypical pneumonia after visiting Wuhanbreakdown → | 2020 | 2117 |
| 9 | 2020 | 380 | |
| 10 | 2020 | 41 | |
| 11 | 2020 | 401 | |
| 12 | 2020 | 40 | |
| 13 | 2020 | 5 | |
| 14 | SARS-CoV-2 infects and damages the mature and immature olfactory sensory neurons of hamsters. | 2020 | 18 |
| 15 | 2019 | 23 | |
| 16 | 2019 | 23 | |
| 17 | 2018 | 38 | |
| 18 | 2016 | 55 | |
| 19 | 2014 | 146 | |
| 20 | 2012 | 41 |
About Hin Chu
Hin Chu is a scholar working on Infectious Diseases, Virology and Immunology, having authored 126 papers that have together received 9.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (48 papers), Influenza Virus Research Studies (26 papers), COVID-19 Clinical Research Studies (25 papers), interferon and immune responses (18 papers), Respiratory viral infections research (18 papers), Viral gastroenteritis research and epidemiology (14 papers), HIV Research and Treatment (12 papers) and Animal Virus Infections Studies (11 papers). The work is most often cited by research in Infectious Diseases (6.3k citations), Modeling and Simulation (549 citations) and Neurology (1.2k citations). Hin Chu has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Jasper Fuk‐Woo Chan, Kwok‐Yung Yuen, Kelvin Kai‐Wang To, Shuofeng Yuan, Kin‐Hang Kok, Zheng Zhu, Jie Zhou, Jian‐Piao Cai, Cun Li and Andrew Chak-Yiu Lee. Their work appears in journals such as Emerging Microbes & Infections, The Journal of Infectious Diseases, Clinical Infectious Diseases, Viruses and Nature Communications.
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.