Daniel Sugrue
Impact in
- Health Informatics top 10%
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Atrial Fibrillation Management and Outcomes 4
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- Immune Cell Function and Interaction 4
- Co-authors
- Phil McEwan (15 shared papers)Gavin W. G. Wilkinson (4 shared papers)Peter Tomašec (4 shared papers)Jason Gordon (10 shared papers)Richard J. Stanton (3 shared papers)James A. Davies (3 shared papers)Virginie Prod’homme (3 shared papers)Andrew J. Davison (2 shared papers)
- Journals
- Value in Health (5 papers)PharmacoEconomics (2 papers)PLoS ONE (2 papers)Journal of General Virology (2 papers)PLoS Pathogens (2 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Daniel Sugrue
28 papers receiving 642 citations
Peers
Comparison fields: 5 of 84
- Health Informatics 15
- Immunology 199
- Epidemiology 251
- Parasitology 50
- Nephrology 42
Countries citing papers authored by Daniel Sugrue
This map shows the geographic impact of Daniel Sugrue'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 Sugrue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Sugrue more than expected).
Fields of papers citing papers by Daniel Sugrue
This network shows the impact of papers produced by Daniel Sugrue. 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 Sugrue. The network helps show where Daniel Sugrue may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Sugrue, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 113 | |
| 2 | 2010 | 93 | |
| 3 | 2019 | 92 | |
| 4 | 2015 | 75 | |
| 5 | 2015 | 47 | |
| 6 | 2021 | 41 | |
| 7 | 2019 | 40 | |
| 8 | 2014 | 20 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2022 | 15 | |
| 12 | 2015 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2016 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 2018 | 7 | |
| 17 | 2020 | 5 | |
| 18 | 2020 | 5 | |
| 19 | 2013 | 4 | |
| 20 | 2018 | 4 |
About Daniel Sugrue
Daniel Sugrue is a scholar working on Cardiology and Cardiovascular Medicine, Immunology, Pulmonary and Respiratory Medicine, Epidemiology and Hepatology, having authored 29 papers that have together received 653 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Hepatitis C virus research (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Potassium and Related Disorders (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Chronic Kidney Disease and Diabetes (3 papers), HIV-related health complications and treatments (3 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). The work is most often cited by research in Health Informatics (15 citations), Immunology (199 citations), Epidemiology (251 citations), Parasitology (50 citations) and Nephrology (42 citations). Daniel Sugrue has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Phil McEwan, Gavin W. G. Wilkinson, Peter Tomašec, Jason Gordon, Richard J. Stanton, James A. Davies, Virginie Prod’homme, Andrew J. Davison, Michael P. Weekes and Paul J. Lehner. Their work appears in journals such as Value in Health, PharmacoEconomics, PLoS ONE, Journal of General Virology and PLoS Pathogens.
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.