Paul Chui
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 6
- SARS-CoV-2 and COVID-19 Research 5
- Co-authors
- Pek Yoon Chong (6 shared papers)Teri J. Franks (4 shared papers)William D. Travis (4 shared papers)Jeffery K. Taubenberger (3 shared papers)Jeffrey R. Galvin (2 shared papers)Junya Fukuoka (2 shared papers)Ann Reid (2 shared papers)Elena Selbs (2 shared papers)
- Journals
- Human Pathology (2 papers)Forensic Science International (2 papers)Virus Research (1 paper)Journal of Interferon & Cytokine Research (1 paper)Frontiers in Molecular Biosciences (1 paper)
- Partner nations
- SingaporeUnited StatesJapan
In The Last Decade
Paul Chui
15 papers receiving 859 citations
Peers
Comparison fields: 5 of 82
- Infectious Diseases 625
- Neurology 230
- Internal Medicine 56
- Modeling and Simulation 36
- Critical Care and Intensive Care Medicine 34
Countries citing papers authored by Paul Chui
This map shows the geographic impact of Paul Chui'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 Paul Chui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Chui more than expected).
Fields of papers citing papers by Paul Chui
This network shows the impact of papers produced by Paul Chui. 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 Paul Chui. The network helps show where Paul Chui may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Chui, 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 | 2003 | 302 | |
| 2 | 2004 | 181 | |
| 3 | 2004 | 168 | |
| 4 | 2009 | 72 | |
| 5 | 2006 | 45 | |
| 6 | 1994 | 41 | |
| 7 | 1993 | 19 | |
| 8 | 2009 | 12 | |
| 9 | 2004 | 10 | |
| 10 | 2008 | 8 | |
| 11 | 2007 | 7 | |
| 12 | 2003 | 5 | |
| 13 | 2021 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2007 | 2 |
About Paul Chui
Paul Chui is a scholar working on Infectious Diseases, Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine and Oncology, having authored 15 papers that have together received 878 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Restraint-Related Deaths (2 papers), Autopsy Techniques and Outcomes (2 papers), COVID-19 and healthcare impacts (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), GABA and Rice Research (1 paper) and Zoonotic diseases and public health (1 paper). The work is most often cited by research in Infectious Diseases (625 citations), Neurology (230 citations), Internal Medicine (56 citations), Modeling and Simulation (36 citations) and Critical Care and Intensive Care Medicine (34 citations). Paul Chui has collaborated with scholars based in Singapore, United States and Japan. Frequent co-authors include Pek Yoon Chong, Teri J. Franks, William D. Travis, Jeffery K. Taubenberger, Jeffrey R. Galvin, Junya Fukuoka, Ann Reid, Elena Selbs, Dessmon Y.H. Tai and Kwai Peng Chan. Their work appears in journals such as Human Pathology, Forensic Science International, Virus Research, Journal of Interferon & Cytokine Research and Frontiers in Molecular Biosciences.
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.