Daniel Sugrue
Impact in
- Health Informatics top 10%
-
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Atrial Fibrillation Management and Outcomes 4
- Heart Failure Treatment and Management 3
-
- Cytomegalovirus and herpesvirus research 4
- Co-authors
- Phil McEwan (15 shared papers)Gavin W. G. Wilkinson (4 shared papers)Peter Tomašec (4 shared papers)Richard J. Stanton (3 shared papers)Jason Gordon (10 shared papers)Virginie Prod’homme (3 shared papers)James A. Davies (3 shared papers)Paul J. Lehner (2 shared papers)
- Journals
- Value in Health (5 papers)PharmacoEconomics (2 papers)PLoS Pathogens (2 papers)Journal of General Virology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Daniel Sugrue
28 papers receiving 625 citations
Peers
Comparison fields: 5 of 101
- Health Informatics 21
- Immunology 208
- Epidemiology 306
- Nephrology 62
- Parasitology 53
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 | 112 | |
| 2 | 2019 | 90 | |
| 3 | 2010 | 89 | |
| 4 | 2015 | 74 | |
| 5 | 2015 | 47 | |
| 6 | 2021 | 40 | |
| 7 | 2019 | 38 | |
| 8 | 2014 | 19 | |
| 9 | 2020 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2015 | 15 | |
| 12 | 2022 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2016 | 9 | |
| 15 | 2018 | 7 | |
| 16 | 2021 | 6 | |
| 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, Epidemiology, Immunology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 635 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (4 papers), Hepatitis C virus research (4 papers), Immune Cell Function and Interaction (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Potassium and Related Disorders (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Heart Failure Treatment and Management (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Health Informatics (21 citations), Immunology (208 citations), Epidemiology (306 citations), Nephrology (62 citations) and Parasitology (53 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, Richard J. Stanton, Jason Gordon, Virginie Prod’homme, James A. Davies, Paul J. Lehner, Michael P. Weekes and Andrew J. Davison. Their work appears in journals such as Value in Health, PharmacoEconomics, PLoS Pathogens, Journal of General Virology and PLoS ONE.
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.