Anthony Shek

817 total citations
15 papers, 292 citations indexed

About

Anthony Shek is a scholar working on Artificial Intelligence, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Anthony Shek has authored 15 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in Anthony Shek's work include Machine Learning in Healthcare (7 papers), Topic Modeling (5 papers) and COVID-19 Clinical Research Studies (5 papers). Anthony Shek is often cited by papers focused on Machine Learning in Healthcare (7 papers), Topic Modeling (5 papers) and COVID-19 Clinical Research Studies (5 papers). Anthony Shek collaborates with scholars based in United Kingdom, Germany and Hong Kong. Anthony Shek's co-authors include James Teo, Daniel Bean, Richard Dobson, Željko Kraljević, Rebecca Bendayan, Ajay M. Shah, Rosita Zakeri, Kevin O’Gallagher, Thomas Searle and Andrew Pickles and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Epilepsia.

In The Last Decade

Anthony Shek

15 papers receiving 289 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anthony Shek United Kingdom 8 154 80 49 40 33 15 292
Željko Kraljević United Kingdom 8 141 0.9× 70 0.9× 95 1.9× 42 1.1× 36 1.1× 20 379
Marika Cusick United States 9 36 0.2× 75 0.9× 35 0.7× 61 1.5× 25 0.8× 15 293
Syed Muhammad Ismail Shah Pakistan 8 67 0.4× 31 0.4× 18 0.4× 22 0.6× 48 1.5× 23 392
Deborah E. Malden United States 9 159 1.0× 86 1.1× 9 0.2× 30 0.8× 23 0.7× 17 253
Jung Hyun Chang South Korea 8 82 0.5× 27 0.3× 60 1.2× 28 0.7× 3 0.1× 23 310
Sandy Joung United States 8 71 0.5× 31 0.4× 15 0.3× 16 0.4× 52 1.6× 26 235
Emma Simon United States 6 151 1.0× 134 1.7× 7 0.1× 56 1.4× 18 0.5× 8 314
Kristin Kostka United States 6 144 0.9× 163 2.0× 12 0.2× 51 1.3× 19 0.6× 13 279
Anthony G. Sena United States 6 88 0.6× 24 0.3× 18 0.4× 8 0.2× 25 0.8× 10 205
Chenxi Li China 7 156 1.0× 66 0.8× 17 0.3× 11 0.3× 6 0.2× 12 293

Countries citing papers authored by Anthony Shek

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Anthony Shek

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony Shek. A scholar is included among the top collaborators of Anthony Shek 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 Anthony Shek. Anthony Shek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Shek, Anthony, et al.. (2025). Extracting epilepsy‐related information from unstructured clinic letters using large language models. Epilepsia. 66(9). 3369–3384. 1 indexed citations
2.
Kraljević, Željko, Daniel Bean, Anthony Shek, et al.. (2024). Foresight—a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study. The Lancet Digital Health. 6(4). e281–e290. 43 indexed citations
3.
Shek, Anthony, et al.. (2024). Extracting Epilepsy Patient Data with Llama 2. 526–535. 1 indexed citations
4.
Yeung, Joshua Au, Anthony Shek, Thomas Searle, et al.. (2024). Natural language processing data services for healthcare providers. BMC Medical Informatics and Decision Making. 24(1). 356–356. 7 indexed citations
5.
Bean, Daniel, Željko Kraljević, Anthony Shek, James Teo, & Richard Dobson. (2023). Hospital-wide natural language processing summarising the health data of 1 million patients. SHILAP Revista de lepidopterología. 2(5). e0000218–e0000218. 7 indexed citations
6.
Kraljević, Željko, Anthony Shek, Joshua Au Yeung, et al.. (2023). Validating Transformers for Redaction of Text from Electronic Health Records in Real-World Healthcare. 544–549. 2 indexed citations
7.
Schulze‐Bonhage, Andreas, Elisa Bruno, Armin Brandt, et al.. (2022). Diagnostic yield and limitations of in‐hospital documentation in patients with epilepsy. Epilepsia. 64(S4). S4–S11. 20 indexed citations
8.
Zakeri, Rosita, Andrew Pickles, Ewan Carr, et al.. (2021). Biological responses to COVID-19: Insights from physiological and blood biomarker profiles. Current Research in Translational Medicine. 69(2). 103276–103276. 7 indexed citations
9.
Vitelli, Valeria, Ewan Carr, Aleksander Rygh Holten, et al.. (2021). Regional performance variation in external validation of four prediction models for severity of COVID-19 at hospital admission: An observational multi-centre cohort study. PLoS ONE. 16(8). e0255748–e0255748. 2 indexed citations
10.
O’Gallagher, Kevin, Anthony Shek, Daniel Bean, et al.. (2021). Pre-existing cardiovascular disease rather than cardiovascular risk factors drives mortality in COVID-19. BMC Cardiovascular Disorders. 21(1). 327–327. 20 indexed citations
11.
Shek, Anthony, Zhilin Jiang, James Teo, et al.. (2021). Machine learning‐enabled multitrust audit of stroke comorbidities using natural language processing. European Journal of Neurology. 28(12). 4090–4097. 14 indexed citations
12.
Bean, Daniel, Željko Kraljević, Thomas Searle, et al.. (2020). Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers are Not Associated with Severe COVID-19 Infection in a Multi-Site UK Acute Hospital Trust. European Journal of Heart Failure. 22(6). 967–974. 152 indexed citations
13.
Zakeri, Rosita, Ewan Carr, Daniel Bean, et al.. (2020). Biological Responses to COVID-19 Insights from Physiological and Blood Biomarker Profiles. SSRN Electronic Journal. 1 indexed citations
14.
Shek, Anthony, et al.. (2019). Technology-based interventions for mental health support after stroke: A systematic review of their acceptability and feasibility. Neuropsychological Rehabilitation. 31(3). 432–452. 11 indexed citations
15.
Leung, C. B., et al.. (1993). Correction of Anemia Using Self-Administered Daily Subcutaneous Erythropoietin in Uremic Patients on Continuous Ambulatory Peritoneal Dialysis. The International Journal of Artificial Organs. 16(7). 510–514. 4 indexed citations

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.

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