Daniel Bean

1.8k citations

32 papers · 831 indexed · h-index 15

Impact in

Health Informatics top 5%
Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research

Papers in ⓘ

Infectious Diseases 10
- COVID-19 Clinical Research Studies 9
Molecular Biology 10
- Bioinformatics and Genomic Networks 5
- Biomedical Text Mining and Ontologies 4

Co-authors: Richard Dobson (25 shared papers)James Teo (15 shared papers)Rebecca Bendayan (10 shared papers)Stephen G. Oliver (4 shared papers)Željko Kraljević (9 shared papers)Anthony Shek (7 shared papers)Ajay M. Shah (7 shared papers)Giorgio Favrin (4 shared papers)
Journals: PLoS ONE (4 papers)Scientific Reports (2 papers)BMC Cardiovascular Disorders (2 papers)BMJ Open (1 paper)Journal of Psychiatric Research (1 paper)
Partner nations: United Kingdom Italy Spain

In The Last Decade

Daniel Bean

31 papers receiving 816 citations

Peers

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-authors

The 25 scholars most cited alongside Daniel Bean, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Bean Line = papers co-authored together Daniel Bean links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	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 ·Daniel Bean, Željko Kraljević, Thomas Searle, Rebecca Bendayan, Kevin O’Gallagher, Andrew Pickles, Amos Folarin, Łukasz Roguski, Kawsar Noor, Anthony Shek, Rosita Zakeri, Ajay M. Shah, James Teo, Richard Dobson	2020	152
2	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 ·Anton De Spiegeleer, Antoon Bronselaer, James Teo, Geert Byttebier, Guy De Tré, Luc Belmans, Richard Dobson, Evelien Wynendaele, Christophe Van de Wiele, Filip Vandaele, Diemer Van Dijck, Daniel Bean, David S. Fedson, Bart De Spiegeleer	2020	127
3	Spinal motor neuron protein supersaturation patterns are associated with inclusion body formation in ALS Proceedings of the National Academy of Sciences ·Prajwal Ciryam, Isabella A. Lambert-Smith, Daniel Bean, Rosie Freer, Fernando Maureira Cid, Gian Gaetano Tartaglia, Darren N. Saunders, Mark R. Wilson, Stephen G. Oliver, Richard I. Morimoto, Christopher M. Dobson, Michele Vendruscolo, Giorgio Favrin, Justin J. Yerbury	2017	89
4	Knowledge graph prediction of unknown adverse drug reactions and validation in electronic health records Scientific Reports ·Daniel Bean, Honghan Wu, Ehtesham Iqbal, Olubanké Dzahini, Zina Ibrahim, Matthew Broadbent, Robert Stewart, Richard Dobson	2017	79
5	esyN: Network Building, Sharing and Publishing PLoS ONE ·Daniel Bean, Joshua Heimbach, Lorenzo Ficorella, Gos Micklem, Stephen G. Oliver, Giorgio Favrin	2014	48
6	Foresight—a generative pretrained transformer for modelling of patient timelines using electronic health records: a retrospective modelling study The Lancet Digital Health ·Željko Kraljević, Daniel Bean, Anthony Shek, Rebecca Bendayan, Harry Hemingway, Joshua Au Yeung, Alexander Deng, Alfred Balston, Jack Ross, Esther Idowu, James Teo, Richard Dobson	2024	43
7	A case-control and cohort study to determine the relationship between ethnic background and severe COVID-19 EClinicalMedicine ·Rosita Zakeri, Rebecca Bendayan, Mark Ashworth, Daniel Bean, Hiten Dodhia, Stevo Durbaba, Kevin O’Gallagher, Claire Palmer, Vasa Ćurčin, Elizabeth H. Aitken, William Bernal, Richard D. Barker, Sam Norton, Martin Gulliford, James Teo, James Galloway, Richard Dobson, Ajay M. Shah	2020	38
8	Yeast-Based High-Throughput Screens to Identify Novel Compounds Active against Brugia malayi PLoS neglected tropical diseases ·Elizabeth Bilsland, Daniel Bean, Eileen Devaney, Stephen G. Oliver	2016	22
9	DGLinker: flexible knowledge-graph prediction of disease–gene associations Nucleic Acids Research ·Jiajing Hu, Rosalba Lepore, Richard Dobson, Ammar Al‐Chalabi, Daniel Bean, Alfredo Iacoangeli	2021	21
10	Pre-existing cardiovascular disease rather than cardiovascular risk factors drives mortality in COVID-19 BMC Cardiovascular Disorders ·Kevin O’Gallagher, Anthony Shek, Daniel Bean, Rebecca Bendayan, Alexandros Papachristidis, James Teo, Richard Dobson, Ajay M. Shah, Rosita Zakeri	2021	20
11	Bleeding in cardiac patients prescribed antithrombotic drugs: electronic health record phenotyping algorithms, incidence, trends and prognosis BMC Medicine ·Laura Pasea, Sheng‐Chia Chung, Mar Pujades‐Rodríguez, Anoop D Shah, Samantha Alvarez‐Madrazo, Victoria Allan, James Teo, Daniel Bean, Reecha Sofat, Richard Dobson, Amitava Banerjee, Riyaz Patel, Adam Timmis, Spiros Denaxas, Harry Hemingway	2019	17
12	Implementation of the trial emulation approach in medical research: a scoping review BMC Medical Research Methodology ·Giulio Scola, Anca Chis Ster, Daniel Bean, Nilesh Pareek, Richard Emsley, Sabine Landau	2023	17
13	Network analysis of patient flow in two UK acute care hospitals identifies key sub-networks for A&E performance PLoS ONE ·Daniel Bean, Clive Stringer, Neeraj Beeknoo, James Teo, Richard Dobson	2017	16
14	A Knowledge-Based Machine Learning Approach to Gene Prioritisation in Amyotrophic Lateral Sclerosis Genes ·Daniel Bean, Ammar Al‐Chalabi, Richard Dobson, Alfredo Iacoangeli	2020	16
15	Identification of novel modifiers of Aβ toxicity by transcriptomic analysis in the fruitfly Scientific Reports ·Giorgio Favrin, Daniel Bean, Elizabeth Bilsland, Hélène Boyer, Bettina Fischer, Steven Russell, Damian C. Crowther, H.A. Baylis, Stephen G. Oliver, Maria E. Giannakou	2013	15
16	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 ·Rebecca Bendayan, Željko Kraljević, Shaweena Shaari, Jayati Das‐Munshi, Leona Leipold, Jaya Chaturvedi, Luwaiza Mirza, Sarah Aldelemi, Thomas Searle, Natalia Chance, Aurelie Mascio, Naoko Skiada, Tao Wang, Angus Roberts, Robert Stewart, Daniel Bean, Richard Dobson	2022	14
17	Semantic computational analysis of anticoagulation use in atrial fibrillation from real world data PLoS ONE ·Daniel Bean, James Teo, Honghan Wu, Ricardo Oliveira, Raj Patel, Rebecca Bendayan, Ajay M. Shah, Richard Dobson, Paul A. Scott	2019	14
18	Risk Prediction for Poor Outcome and Death in Hospital In-Patients with COVID-19: Derivation in Wuhan, China and External Validation in London, UK SSRN Electronic Journal ·Huayu Zhang, Ting Shi, Xiaodong Wu, Xin Zhang, Kun Wang, Daniel Bean, Richard Dobson, James Teo, Jiaxing Sun, Pei Zhao, Chenghong Li, Kevin Dhaliwal, Honghan Wu, Qiang Li, Bruce Guthrie	2020	14
19	A patient flow simulator for healthcare management education BMJ Simulation & Technology Enhanced Learning ·Daniel Bean, Paul Taylor, Richard Dobson	2017	13
20	Evaluation of antithrombotic use and COVID-19 outcomes in a nationwide atrial fibrillation cohort Heart ·Álex Handy, Amitava Banerjee, Angela Wood, Caroline Dale, Cathie Sudlow, Christopher Tomlinson, Daniel Bean, Johan H. Thygesen, Mehrdad A. Mizani, Michail Katsoulis, Rohan Takhar, Sam Hollings, Spiros Denaxas, Venexia Walker, Richard Dobson, Reecha Sofat	2022	12

About Daniel Bean

Daniel Bean is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Neurology and Cardiology and Cardiovascular Medicine, having authored 32 papers that have together received 831 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (9 papers), Bioinformatics and Genomic Networks (5 papers), Atrial Fibrillation Management and Outcomes (4 papers), Biomedical Text Mining and Ontologies (4 papers), Long-Term Effects of COVID-19 (3 papers), COVID-19 and healthcare impacts (3 papers), Machine Learning in Healthcare (3 papers) and Sepsis Diagnosis and Treatment (3 papers). The work is most often cited by research in Health Informatics (30 citations), Infectious Diseases (327 citations), Neurology (216 citations), Toxicology (26 citations) and Health Information Management (29 citations). Daniel Bean has collaborated with scholars based in United Kingdom, Italy and Spain. Frequent co-authors include Richard Dobson, James Teo, Rebecca Bendayan, Stephen G. Oliver, Željko Kraljević, Anthony Shek, Ajay M. Shah, Giorgio Favrin, Rosita Zakeri and Kevin O’Gallagher. Their work appears in journals such as PLoS ONE, Scientific Reports, BMC Cardiovascular Disorders, BMJ Open and Journal of Psychiatric Research.

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.

Explore authors with similar magnitude of impact