Daniel Bean
Impact in
- Health Informatics top 5%
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Bioinformatics and Genomic Networks 5
- Biomedical Text Mining and Ontologies 3
-
- COVID-19 Clinical Research Studies 6
- Co-authors
- Richard Dobson (25 shared papers)James Teo (15 shared papers)Rebecca Bendayan (10 shared papers)Stephen G. Oliver (4 shared papers)Anthony Shek (7 shared papers)Željko Kraljević (9 shared papers)Ajay M. Shah (7 shared papers)Giorgio Favrin (4 shared papers)
- Journals
- PLoS ONE (4 papers)BMC Cardiovascular Disorders (2 papers)Scientific Reports (2 papers)Heart (1 paper)BMC Medicine (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Daniel Bean
32 papers receiving 871 citations
Peers
Comparison fields: 5 of 105
- Health Informatics 27
- Infectious Diseases 269
- Neurology 154
- Toxicology 26
- Aging 11
Countries citing papers authored by Daniel Bean
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
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.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 152 | |
| 2 | 2020 | 130 | |
| 3 | 2017 | 93 | |
| 4 | 2017 | 92 | |
| 5 | 2024 | 53 | |
| 6 | 2014 | 51 | |
| 7 | 2020 | 39 | |
| 8 | 2016 | 23 | |
| 9 | 2023 | 21 | |
| 10 | 2021 | 21 | |
| 11 | 2021 | 20 | |
| 12 | 2020 | 19 | |
| 13 | 2013 | 18 | |
| 14 | 2017 | 17 | |
| 15 | 2019 | 17 | |
| 16 | 2017 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2020 | 14 | |
| 19 | 2019 | 14 | |
| 20 | 2022 | 12 |
About Daniel Bean
Daniel Bean is a scholar working on Molecular Biology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Epidemiology and Artificial Intelligence, having authored 32 papers that have together received 885 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (6 papers), Bioinformatics and Genomic Networks (5 papers), Machine Learning in Healthcare (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Biomedical Text Mining and Ontologies (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Alzheimer's disease research and treatments (2 papers) and Healthcare Policy and Management (2 papers). The work is most often cited by research in Health Informatics (27 citations), Infectious Diseases (269 citations), Neurology (154 citations), Toxicology (26 citations) and Aging (11 citations). Daniel Bean has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Richard Dobson, James Teo, Rebecca Bendayan, Stephen G. Oliver, Anthony Shek, Željko Kraljević, Ajay M. Shah, Giorgio Favrin, Rosita Zakeri and Kevin O’Gallagher. Their work appears in journals such as PLoS ONE, BMC Cardiovascular Disorders, Scientific Reports, Heart and BMC Medicine.
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.