Daniel Bean

1.8k total citations
32 papers, 831 citations indexed

About

Daniel Bean is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Daniel Bean has authored 32 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 10 papers in Molecular Biology and 7 papers in Epidemiology. Recurrent topics in Daniel Bean's work include COVID-19 Clinical Research Studies (9 papers), Bioinformatics and Genomic Networks (5 papers) and Atrial Fibrillation Management and Outcomes (4 papers). Daniel Bean is often cited by papers focused on COVID-19 Clinical Research Studies (9 papers), Bioinformatics and Genomic Networks (5 papers) and Atrial Fibrillation Management and Outcomes (4 papers). Daniel Bean collaborates with scholars based in United Kingdom, Italy and Spain. Daniel Bean's co-authors include Richard Dobson, James Teo, Rebecca Bendayan, Stephen G. Oliver, Anthony Shek, Željko Kraljević, Ajay M. Shah, Kevin O’Gallagher, Rosita Zakeri and Giorgio Favrin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel Bean

31 papers receiving 816 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Bean United Kingdom 15 327 216 205 86 76 32 831
Junke Long China 7 372 1.1× 145 0.7× 205 1.0× 27 0.3× 178 2.3× 9 997
Antoine Neuraz France 19 154 0.5× 212 1.0× 381 1.9× 185 2.2× 133 1.8× 63 1.2k
Enrico Longato Italy 12 337 1.0× 145 0.7× 107 0.5× 65 0.8× 111 1.5× 31 880
Julia S. El-Sayed Moustafa United Kingdom 14 338 1.0× 245 1.1× 288 1.4× 57 0.7× 175 2.3× 27 1.6k
Yuan Xue China 15 619 1.9× 323 1.5× 188 0.9× 12 0.1× 204 2.7× 58 1.1k
Yanbing Ding China 7 413 1.3× 191 0.9× 57 0.3× 28 0.3× 51 0.7× 12 766
Xiaoping Yin China 11 292 0.9× 162 0.8× 60 0.3× 16 0.2× 73 1.0× 32 656
Mei Ji China 14 440 1.3× 190 0.9× 151 0.7× 126 1.5× 79 1.0× 23 1.3k

Countries citing papers authored by Daniel Bean

Since Specialization
Citations

This map shows the geographic impact of Daniel Bean'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 Daniel Bean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Bean more than expected).

Fields of papers citing papers by Daniel Bean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Bean. 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 Daniel Bean. The network helps show where Daniel Bean may publish in the future.

Co-authorship network of co-authors of Daniel Bean

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

All Works

20 of 20 papers shown
1.
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
2.
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
3.
Kiddle, Steven J., Daniel Bean, Phillip R. Hunt, et al.. (2023). Evaluating clinical outcomes and prognosis in patients with cirrhosis and portal hypertension: a retrospective observational cohort study. BMJ Open Gastroenterology. 10(1). e001234–e001234. 1 indexed citations
4.
Bean, Daniel, et al.. (2023). Implementation of the trial emulation approach in medical research: a scoping review. BMC Medical Research Methodology. 23(1). 186–186. 17 indexed citations
5.
Bendayan, Rebecca, Željko Kraljević, Jayati Das‐Munshi, et al.. (2022). Mapping multimorbidity in individuals with schizophrenia and bipolar disorders: evidence from the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLAM BRC) case register. BMJ Open. 12(1). e054414–e054414. 14 indexed citations
6.
Handy, Álex, Amitava Banerjee, Angela Wood, et al.. (2022). Evaluation of antithrombotic use and COVID-19 outcomes in a nationwide atrial fibrillation cohort. Heart. 108(12). 923–931. 12 indexed citations
7.
Farajidavar, Nazli, Kevin O’Gallagher, Daniel Bean, et al.. (2022). Diagnostic signature for heart failure with preserved ejection fraction (HFpEF): a machine learning approach using multi-modality electronic health record data. BMC Cardiovascular Disorders. 22(1). 567–567. 8 indexed citations
8.
Das‐Munshi, Jayati, Honghan Wu, Željko Kraljević, et al.. (2021). Investigating the association between physical health comorbidities and disability in individuals with severe mental illness. European Psychiatry. 64(1). e77–e77. 9 indexed citations
9.
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
10.
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
11.
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
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.
Spiegeleer, Anton De, Antoon Bronselaer, James Teo, et al.. (2020). The Effects of ARBs, ACEis, and Statins on Clinical Outcomes of COVID-19 Infection Among Nursing Home Residents. Journal of the American Medical Directors Association. 21(7). 909–914.e2. 127 indexed citations
14.
Zakeri, Rosita, Rebecca Bendayan, Mark Ashworth, et al.. (2020). A case-control and cohort study to determine the relationship between ethnic background and severe COVID-19. EClinicalMedicine. 28. 100574–100574. 38 indexed citations
15.
Pasea, Laura, Sheng‐Chia Chung, Mar Pujades‐Rodríguez, et al.. (2019). Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis. BMC Medicine. 17(1). 206–206. 17 indexed citations
16.
Bean, Daniel, Honghan Wu, Ehtesham Iqbal, et al.. (2017). Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records. Scientific Reports. 7(1). 16416–16416. 79 indexed citations
17.
Bean, Daniel, et al.. (2017). Network analysis of patient flow in two UK acute care hospitals identifies key sub-networks for A&E performance. PLoS ONE. 12(10). e0185912–e0185912. 16 indexed citations
18.
Yerbury, Justin J., Daniel Bean, & Giorgio Favrin. (2015). Network Approaches to the Understanding of Alzheimer’s Disease: From Model Organisms to Humans. Methods in molecular biology. 1303. 447–458. 3 indexed citations
19.
Bean, Daniel, et al.. (2014). esyN: Network Building, Sharing and Publishing. PLoS ONE. 9(9). e106035–e106035. 48 indexed citations
20.
Favrin, Giorgio, Daniel Bean, Elizabeth Bilsland, et al.. (2013). Identification of novel modifiers of Aβ toxicity by transcriptomic analysis in the fruitfly. Scientific Reports. 3(1). 3512–3512. 15 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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