Jane C. Chan
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Clinical Psychology top 10%
- COVID-19 and Mental Health
- Resilience and Mental Health
- Posttraumatic Stress Disorder Research
Papers in
-
- COVID-19 Clinical Research Studies 4
-
- Respiratory Support and Mechanisms 3
- Cystic Fibrosis Research Advances 1
- Co-authors
- Vivian Wong (4 shared papers)Samuel M. Y. Ho (1 shared paper)George A. Bonanno (1 shared paper)Eva L. H. Tsui (5 shared papers)TQ Thach (1 shared paper)GM Leung (1 shared paper)Roy M. Anderson (1 shared paper)TH Lam (1 shared paper)
- Journals
- Health Psychology (1 paper)Radiology (1 paper)Annals of Internal Medicine (1 paper)Journal of Cellular Physiology (1 paper)Respirology (1 paper)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Jane C. Chan
10 papers receiving 676 citations
Peers
Comparison fields: 5 of 102
- Modeling and Simulation 98
- Clinical Psychology 244
- Infectious Diseases 212
- Applied Psychology 34
- Health 42
Countries citing papers authored by Jane C. Chan
This map shows the geographic impact of Jane C. 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 Jane C. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane C. Chan more than expected).
Fields of papers citing papers by Jane C. Chan
This network shows the impact of papers produced by Jane C. 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 Jane C. Chan. The network helps show where Jane C. Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane C. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 268 | |
| 2 | 2004 | 242 | |
| 3 | 1990 | 59 | |
| 4 | 2005 | 29 | |
| 5 | 2007 | 27 | |
| 6 | 2005 | 26 | |
| 7 | Non-invasive versus invasive mechanical ventilation for respiratory failure in severe acute respiratory syndrome. | 2005 | 18 |
| 8 | 1991 | 16 | |
| 9 | 1989 | 10 | |
| 10 | 1989 | 2 |
About Jane C. Chan
Jane C. Chan is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Epidemiology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 10 papers that have together received 697 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Respiratory Support and Mechanisms (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), COVID-19 diagnosis using AI (2 papers), Sepsis Diagnosis and Treatment (2 papers), Long-Term Effects of COVID-19 (1 paper), Cystic Fibrosis Research Advances (1 paper) and Airway Management and Intubation Techniques (1 paper). The work is most often cited by research in Modeling and Simulation (98 citations), Clinical Psychology (244 citations), Infectious Diseases (212 citations), Applied Psychology (34 citations) and Health (42 citations). Jane C. Chan has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Vivian Wong, Samuel M. Y. Ho, George A. Bonanno, Eva L. H. Tsui, TQ Thach, GM Leung, Roy M. Anderson, TH Lam, Azra C. Ghani and Steven Riley. Their work appears in journals such as Health Psychology, Radiology, Annals of Internal Medicine, Journal of Cellular Physiology and Respirology.
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.