Eva L. H. Tsui
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 6
- Modeling and Simulation top 2%
- Neurology top 10%
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- Chronic Disease Management Strategies 3
- Acute Ischemic Stroke Management 3
- Sepsis Diagnosis and Treatment 3
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- COVID-19 diagnosis using AI 3
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- Stroke Rehabilitation and Recovery 2
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- Diabetes Management and Education 2
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- Respiratory Support and Mechanisms 2
- Co-authors
- Vivian WongJane C. ChanMaureen Mo-Lin WongS. T. LaiTak Lun QueCarolyn TamKwok‐Yung YuenMalik Peiris
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Eva L. H. Tsui
17 papers receiving 931 citations
Peers
Comparison fields: 5 of 105
- Infectious Diseases 517
- Modeling and Simulation 123
- Neurology 163
- Epidemiology 224
- Critical Care and Intensive Care Medicine 30
Countries citing papers authored by Eva L. H. Tsui
This map shows the geographic impact of Eva L. H. Tsui'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 Eva L. H. Tsui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva L. H. Tsui more than expected).
Fields of papers citing papers by Eva L. H. Tsui
This network shows the impact of papers produced by Eva L. H. Tsui. 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 Eva L. H. Tsui. The network helps show where Eva L. H. Tsui may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eva L. H. Tsui, 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 | 2021 | 10 | |
| 2 | 2020 | 16 | |
| 3 | 2020 | 19 | |
| 4 | 2019 | 10 | |
| 5 | 2014 | 72 | |
| 6 | 2013 | 17 | |
| 7 | 2012 | 51 | |
| 8 | 2011 | 62 | |
| 9 | Hong Kong domestic health spending: financial years 1989/90 to 2005/06. | 2010 | 3 |
| 10 | 2007 | 27 | |
| 11 | 2006 | 17 | |
| 12 | 2005 | 11 | |
| 13 | 2005 | 29 | |
| 14 | 2005 | 26 | |
| 15 | Non-invasive versus invasive mechanical ventilation for respiratory failure in severe acute respiratory syndrome. | 2005 | 18 |
| 16 | 2004 | 242 | |
| 17 | Treatment of severe acute respiratory syndrome with lopinavir/ritonavir: a multicentre retrospective matched cohort study. | 2003 | 325 |
About Eva L. H. Tsui
Eva L. H. Tsui is a scholar working on Critical Care and Intensive Care Medicine, Infectious Diseases and Rehabilitation, having authored 17 papers that have together received 955 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Chronic Disease Management Strategies (3 papers), Acute Ischemic Stroke Management (3 papers), Sepsis Diagnosis and Treatment (3 papers), COVID-19 diagnosis using AI (3 papers), Stroke Rehabilitation and Recovery (2 papers), Diabetes Management and Education (2 papers) and Respiratory Support and Mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (517 citations), Modeling and Simulation (123 citations) and Neurology (163 citations). Eva L. H. Tsui has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Vivian Wong, Jane C. Chan, Maureen Mo-Lin Wong, S. T. Lai, Tak Lun Que, Carolyn Tam, Kwok‐Yung Yuen, Malik Peiris, Chung‐Ming Chu and KH Chan. Their work appears in journals such as Journal of Neuroscience, Annals of Internal Medicine and PLoS ONE.
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.