Hung Chan
Impact in
-
- Clostridium difficile and Clostridium perfringens research
-
- Autophagy in Disease and Therapy
- Liver Disease Diagnosis and Treatment
Papers in
-
- S100 Proteins and Annexins 1
-
- Autophagy in Disease and Therapy 3
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- William Ka Kei Wu (12 shared papers)Matthew T.V. Chan (11 shared papers)Sunny H. Wong (10 shared papers)Tony Gin (8 shared papers)Xiaodong Liu (9 shared papers)Lin Zhang (10 shared papers)Jun Yu (7 shared papers)Wei Hu (5 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (2 papers)Cellular and Molecular Immunology (1 paper)Gastroenterology (1 paper)Molecular Medicine (1 paper)Emerging Microbes & Infections (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Hung Chan
19 papers receiving 594 citations
Peers
Comparison fields: 5 of 82
- Infectious Diseases 72
- Epidemiology 125
- Cancer Research 55
- Molecular Biology 267
- Food Science 63
Countries citing papers authored by Hung Chan
This map shows the geographic impact of Hung Chan'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 Hung Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung Chan more than expected).
Fields of papers citing papers by Hung Chan
This network shows the impact of papers produced by Hung Chan. 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 Hung Chan. The network helps show where Hung Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hung Chan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 195 | |
| 2 | 2016 | 81 | |
| 3 | 2019 | 64 | |
| 4 | 2019 | 57 | |
| 5 | 2010 | 48 | |
| 6 | 2017 | 27 | |
| 7 | 2022 | 26 | |
| 8 | 2016 | 21 | |
| 9 | 2019 | 17 | |
| 10 | 2022 | 15 | |
| 11 | 2018 | 11 | |
| 12 | 2018 | 10 | |
| 13 | 2020 | 7 | |
| 14 | 2025 | 6 | |
| 15 | Psychiatric morbidity in Chinese patients with chronic hepatitis B infection in a local infectious disease clinic. | 2012 | 6 |
| 16 | 2025 | 4 | |
| 17 | 2014 | 3 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Hung Chan
Hung Chan is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Immunology and Microbiology, having authored 21 papers that have together received 600 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (3 papers), Autophagy in Disease and Therapy (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Antimicrobial Peptides and Activities (2 papers), Immune Response and Inflammation (2 papers), Cancer Genomics and Diagnostics (1 paper), S100 Proteins and Annexins (1 paper) and Wound Healing and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (72 citations), Epidemiology (125 citations), Cancer Research (55 citations), Molecular Biology (267 citations) and Food Science (63 citations). Hung Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include William Ka Kei Wu, Matthew T.V. Chan, Sunny H. Wong, Tony Gin, Xiaodong Liu, Lin Zhang, Jun Yu, Wei Hu, Jeffery Ho and Qing Li. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Cellular and Molecular Immunology, Gastroenterology, Molecular Medicine and Emerging Microbes & Infections.
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.