Daniel Prefasi
Impact in
- Pathology and Forensic Medicine top 10%
- Multiple Sclerosis Research Studies
Papers in
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- Multiple Sclerosis Research Studies 9
-
- Atrial Fibrillation Management and Outcomes 3
- Co-authors
- Jorge Mauriño (14 shared papers)Ángel Pérez Sempere (5 shared papers)Gustavo Saposnik (2 shared papers)Daniel Selchen (2 shared papers)Blanca Fuentes (10 shared papers)Exuperio Díez‐Tejedor (10 shared papers)Patricia Martínez‐Sánchez (10 shared papers)María Luisa Martínez‐Ginés (8 shared papers)
- Journals
- Journal of Thrombosis and Thrombolysis (3 papers)Frontiers in Neurology (2 papers)Patient Preference and Adherence (2 papers)Multiple Sclerosis and Related Disorders (2 papers)Health and Quality of Life Outcomes (1 paper)
- Partner nations
- SpainSwitzerlandUnited States
In The Last Decade
Daniel Prefasi
26 papers receiving 448 citations
Peers
Comparison fields: 5 of 73
- Pathology and Forensic Medicine 142
- Family Practice 7
- Neurology 47
- Neurology 21
- Cellular and Molecular Neuroscience 45
Countries citing papers authored by Daniel Prefasi
This map shows the geographic impact of Daniel Prefasi'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 Prefasi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Prefasi more than expected).
Fields of papers citing papers by Daniel Prefasi
This network shows the impact of papers produced by Daniel Prefasi. 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 Prefasi. The network helps show where Daniel Prefasi may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Prefasi, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 48 | |
| 2 | 2016 | 41 | |
| 3 | 2013 | 41 | |
| 4 | 2017 | 33 | |
| 5 | 2017 | 27 | |
| 6 | 2020 | 27 | |
| 7 | 2014 | 25 | |
| 8 | 2019 | 23 | |
| 9 | 2013 | 21 | |
| 10 | 2019 | 18 | |
| 11 | 2013 | 17 | |
| 12 | 2021 | 17 | |
| 13 | 2022 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2014 | 13 | |
| 16 | 2013 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2019 | 9 | |
| 19 | 2016 | 8 | |
| 20 | 2020 | 8 |
About Daniel Prefasi
Daniel Prefasi is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology and Rehabilitation, having authored 26 papers that have together received 455 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (9 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Acute Ischemic Stroke Management (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), Stroke Rehabilitation and Recovery (3 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Intracranial Aneurysms: Treatment and Complications (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (142 citations), Family Practice (7 citations), Neurology (47 citations), Neurology (21 citations) and Cellular and Molecular Neuroscience (45 citations). Daniel Prefasi has collaborated with scholars based in Spain, Switzerland and United States. Frequent co-authors include Jorge Mauriño, Ángel Pérez Sempere, Gustavo Saposnik, Daniel Selchen, Blanca Fuentes, Exuperio Díez‐Tejedor, Patricia Martínez‐Sánchez, María Luisa Martínez‐Ginés, Javier Ballesteros and Javier Arpa. Their work appears in journals such as Journal of Thrombosis and Thrombolysis, Frontiers in Neurology, Patient Preference and Adherence, Multiple Sclerosis and Related Disorders and Health and Quality of Life Outcomes.
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.