Hung Chan
Impact in
- Epidemiology top 2%
- Autophagy in Disease and Therapy
- Sepsis Diagnosis and Treatment
- Aging top 10%
Papers in
-
- Sepsis Diagnosis and Treatment 3
- Autophagy in Disease and Therapy 3
- Respiratory viral infections research 1
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- Clostridium difficile and Clostridium perfringens research 3
- Co-authors
- Sunny Hei Wong (9 shared papers)William Ka Kei Wu (10 shared papers)Matthew T.V. Chan (9 shared papers)Tony Gin (7 shared papers)Xiaodong Liu (8 shared papers)Lin Zhang (9 shared papers)Jun Qing Yu (6 shared papers)Wei Hu (4 shared papers)
- Journals
- Journal of Cellular and Molecular Medicine (2 papers)Autophagy (2 papers)Critical Care (2 papers)Emerging Microbes & Infections (1 paper)Infection and Drug Resistance (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Hung Chan
26 papers receiving 3.0k citations
Hung Chan's Hit Papers
Peers
Comparison fields: 5 of 95
- Epidemiology 838
- Aging 16
- Molecular Biology 435
- Infectious Diseases 139
- Neurology 60
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2067 |
| 2 | 2020 | 211 | |
| 3 | 2022 | 150 | |
| 4 | 2021 | 87 | |
| 5 | 2023 | 85 | |
| 6 | 2016 | 82 | |
| 7 | 2019 | 67 | |
| 8 | 2019 | 59 | |
| 9 | 2020 | 46 | |
| 10 | 2017 | 29 | |
| 11 | 2022 | 27 | |
| 12 | 2016 | 22 | |
| 13 | 2019 | 20 | |
| 14 | 2022 | 17 | |
| 15 | 2024 | 14 | |
| 16 | 2018 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2025 | 9 | |
| 19 | 2020 | 8 | |
| 20 | 2021 | 7 |
About Hung Chan
Hung Chan is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Oncology and Dermatology, having authored 28 papers that have together received 3.1k indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (3 papers), Autophagy in Disease and Therapy (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), RNA modifications and cancer (2 papers), Inflammasome and immune disorders (1 paper), Genomics and Chromatin Dynamics (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Respiratory viral infections research (1 paper). The work is most often cited by research in Epidemiology (838 citations), Aging (16 citations), Molecular Biology (435 citations), Infectious Diseases (139 citations) and Neurology (60 citations). Hung Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Sunny Hei Wong, William Ka Kei Wu, Matthew T.V. Chan, Tony Gin, Xiaodong Liu, Lin Zhang, Jun Qing Yu, Wei Hu, Jeffery Ho and Qing Li. Their work appears in journals such as Journal of Cellular and Molecular Medicine, Autophagy, Critical Care, Emerging Microbes & Infections and Infection and Drug Resistance.
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.