Spiros Denaxas
- Cardiology and Cardiovascular Medicine top 0.5%
- Epidemiology top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Molecular Biology top 10%
- Co-authors
- Harry HemingwayAnoop D ShahAdam TimmisLiam SmeethMar Pujades‐RodríguezEleni RapsomanikiAroon D. HingoraniJohn Deanfield
- Topics
- Chronic Disease Management Strategies (32 papers)Machine Learning in Healthcare (27 papers)Biomedical Text Mining and Ontologies (20 papers)
- Journals
- The LancetCirculationNature Medicine
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Spiros Denaxas
174 papers receiving 7.6k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Cardiology and Cardiovascular Medicine 2.7k
- Epidemiology 1.3k
- Endocrinology, Diabetes and Metabolism 1.1k
- Surgery 811
- Molecular Biology 787
Countries citing papers authored by Spiros Denaxas
This map shows the geographic impact of Spiros Denaxas'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 Spiros Denaxas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Spiros Denaxas more than expected).
Fields of papers citing papers by Spiros Denaxas
This network shows the impact of papers produced by Spiros Denaxas. 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 Spiros Denaxas. The network helps show where Spiros Denaxas may publish in the future.
Co-authorship network of co-authors of Spiros Denaxas
This figure shows the co-authorship network connecting the top 25 collaborators of Spiros Denaxas. A scholar is included among the top collaborators of Spiros Denaxas 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 Spiros Denaxas. Spiros Denaxas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 12 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 18 | |
| 12 | 17 | |
| 13 | 51 | |
| 14 | 17 | |
| 15 | 26 | |
| 16 | 16 | |
| 17 | 23 | |
| 18 | 14 | |
| 19 | 10 | |
| 20 | Heart failure following myocardial infarction: a cohort study of incidence and prognostic factors in 24 745 patients using linked electronic records | 1 |
About Spiros Denaxas
Spiros Denaxas is a scholar working on Health Information Management, Cardiology and Cardiovascular Medicine and Family Practice, having authored 186 papers that have together received 7.7k indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (32 papers), Machine Learning in Healthcare (27 papers) and Biomedical Text Mining and Ontologies (20 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.7k citations), Health Informatics (153 citations) and Health Information Management (490 citations). Spiros Denaxas has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Harry Hemingway, Anoop D Shah, Adam Timmis, Liam Smeeth, Mar Pujades‐Rodríguez, Eleni Rapsomaniki, Aroon D. Hingorani, John Deanfield, Julie George and Claudia Langenberg. Their work appears in journals such as The Lancet, Circulation and Nature 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.