Anthony Shek
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Machine Learning in Healthcare 7
- Topic Modeling 5
- Advanced Text Analysis Techniques 1
-
- COVID-19 Clinical Research Studies 5
- Co-authors
- James Teo (12 shared papers)Richard Dobson (8 shared papers)Daniel Bean (7 shared papers)Željko Kraljević (7 shared papers)Rebecca Bendayan (6 shared papers)Rosita Zakeri (4 shared papers)Kevin O’Gallagher (3 shared papers)Ajay M. Shah (4 shared papers)
- Journals
- Epilepsia (2 papers)PLoS ONE (1 paper)Neuropsychological Rehabilitation (1 paper)The Lancet Digital Health (1 paper)BMC Medical Informatics and Decision Making (1 paper)
- Partner nations
- United KingdomGermanyJapan
In The Last Decade
Anthony Shek
15 papers receiving 289 citations
Peers
Comparison fields: 5 of 63
- Health Informatics 27
- Infectious Diseases 154
- Neurology 80
- Health Information Management 20
- Clinical Psychology 40
Countries citing papers authored by Anthony Shek
This map shows the geographic impact of Anthony Shek'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 Anthony Shek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony Shek more than expected).
Fields of papers citing papers by Anthony Shek
This network shows the impact of papers produced by Anthony Shek. 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 Anthony Shek. The network helps show where Anthony Shek may publish in the future.
Co-authors
The 25 scholars most cited alongside Anthony Shek, 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 | 2020 | 152 | |
| 2 | 2024 | 43 | |
| 3 | 2021 | 20 | |
| 4 | 2022 | 20 | |
| 5 | 2021 | 14 | |
| 6 | 2019 | 11 | |
| 7 | 2021 | 7 | |
| 8 | 2023 | 7 | |
| 9 | 2024 | 7 | |
| 10 | 1993 | 4 | |
| 11 | 2021 | 2 | |
| 12 | 2023 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2020 | 1 |
About Anthony Shek
Anthony Shek is a scholar working on Artificial Intelligence, Infectious Diseases, Molecular Biology, Epidemiology and Neurology, having authored 15 papers that have together received 292 indexed citations. Recurring topics across this work include Machine Learning in Healthcare (7 papers), COVID-19 Clinical Research Studies (5 papers), Topic Modeling (5 papers), Biomedical Text Mining and Ontologies (4 papers), Long-Term Effects of COVID-19 (2 papers), Sepsis Diagnosis and Treatment (2 papers), Stroke Rehabilitation and Recovery (2 papers) and Advanced Text Analysis Techniques (1 paper). The work is most often cited by research in Health Informatics (27 citations), Infectious Diseases (154 citations), Neurology (80 citations), Health Information Management (20 citations) and Clinical Psychology (40 citations). Anthony Shek has collaborated with scholars based in United Kingdom, Germany and Japan. Frequent co-authors include James Teo, Richard Dobson, Daniel Bean, Željko Kraljević, Rebecca Bendayan, Rosita Zakeri, Kevin O’Gallagher, Ajay M. Shah, Thomas Searle and Andrew Pickles. Their work appears in journals such as Epilepsia, PLoS ONE, Neuropsychological Rehabilitation, The Lancet Digital Health and BMC Medical Informatics and Decision Making.
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.