Chris Chung‐Sing Chan
- Infectious Diseases top 2%
- Public Health, Environmental and Occupational Health top 5%
- Epidemiology top 10%
- Neurology top 10%
- Molecular Biology
- Co-authors
- Kwok‐Yung YuenJasper Fuk‐Woo ChanJinxia ZhangVincent Kwok‐Man PoonJian‐Piao CaiKwok‐Hung ChanShuofeng YuanSiddharth Sridhar
- Topics
- SARS-CoV-2 and COVID-19 Research (6 papers)Mosquito-borne diseases and control (6 papers)Viral Infections and Vectors (6 papers)
- Cited by
- Infectious DiseasesModeling and SimulationPublic Health, Environmental and Occupational Health
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Chris Chung‐Sing Chan
20 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Infectious Diseases 810
- Public Health, Environmental and Occupational Health 441
- Epidemiology 275
- Neurology 171
- Molecular Biology 123
Countries citing papers authored by Chris Chung‐Sing Chan
This map shows the geographic impact of Chris Chung‐Sing 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 Chris Chung‐Sing Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Chung‐Sing Chan more than expected).
Fields of papers citing papers by Chris Chung‐Sing Chan
This network shows the impact of papers produced by Chris Chung‐Sing 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 Chris Chung‐Sing Chan. The network helps show where Chris Chung‐Sing Chan may publish in the future.
Co-authorship network of co-authors of Chris Chung‐Sing Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Chung‐Sing Chan. A scholar is included among the top collaborators of Chris Chung‐Sing Chan 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 Chris Chung‐Sing Chan. Chris Chung‐Sing Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 14 | |
| 3 | 44 | |
| 4 | 49 | |
| 5 | 38 | |
| 6 | SARS-CoV-2 infects and damages the mature and immature olfactory sensory neurons of hamsters. | 18 |
| 7 | 4 | |
| 8 | 97 | |
| 9 | Surgical Mask Partition Reduces the Risk of Noncontact Transmission in a Golden Syrian Hamster Model for Coronavirus Disease 2019 (COVID-19)breakdown → | 400 |
| 10 | 46 | |
| 11 | 98 | |
| 12 | 107 | |
| 13 | 35 | |
| 14 | 134 | |
| 15 | 75 | |
| 16 | 8 | |
| 17 | 22 | |
| 18 | 29 | |
| 19 | 7 | |
| 20 | 4 |
About Chris Chung‐Sing Chan
Chris Chung‐Sing Chan is a scholar working on Infectious Diseases, Virology and Sensory Systems, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Mosquito-borne diseases and control (6 papers) and Viral Infections and Vectors (6 papers). The work is most often cited by research in Infectious Diseases (810 citations), Modeling and Simulation (93 citations) and Public Health, Environmental and Occupational Health (441 citations). Chris Chung‐Sing Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Kwok‐Yung Yuen, Jasper Fuk‐Woo Chan, Jinxia Zhang, Vincent Kwok‐Man Poon, Jian‐Piao Cai, Kwok‐Hung Chan, Shuofeng Yuan, Siddharth Sridhar, Hin Chu and Andrew Chak-Yiu Lee. Their work appears in journals such as Nature Communications, Immunity and Clinical Infectious Diseases.
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.