Joan Martí‐Fàbregas
- Epidemiology top 1%
- Neurology top 1%
- Pulmonary and Respiratory Medicine top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Co-authors
- Raquel Delgado‐MederosDolores CochoR. BelvísElena Jiménez‐XarriéJ.-L. Martí–VilaltaRebeca MarínJosep-Lluis Martí-VilaltaTomás Segura
- Topics
- Acute Ischemic Stroke Management (84 papers)Intracerebral and Subarachnoid Hemorrhage Research (45 papers)Cerebrovascular and Carotid Artery Diseases (45 papers)
- Cited by
- Internal MedicineNeurology
- Partner nations
- SpainUnited StatesUnited Kingdom
In The Last Decade
Joan Martí‐Fàbregas
179 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 119
- Epidemiology 1.7k
- Neurology 1.2k
- Pulmonary and Respiratory Medicine 859
- Cardiology and Cardiovascular Medicine 557
- Molecular Biology 557
Countries citing papers authored by Joan Martí‐Fàbregas
This map shows the geographic impact of Joan Martí‐Fàbregas'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 Joan Martí‐Fàbregas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Martí‐Fàbregas more than expected).
Fields of papers citing papers by Joan Martí‐Fàbregas
This network shows the impact of papers produced by Joan Martí‐Fàbregas. 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 Joan Martí‐Fàbregas. The network helps show where Joan Martí‐Fàbregas may publish in the future.
Co-authorship network of co-authors of Joan Martí‐Fàbregas
This figure shows the co-authorship network connecting the top 25 collaborators of Joan Martí‐Fàbregas. A scholar is included among the top collaborators of Joan Martí‐Fàbregas 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 Joan Martí‐Fàbregas. Joan Martí‐Fàbregas 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 | 3 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 26 | |
| 8 | 28 | |
| 9 | 70 | |
| 10 | 18 | |
| 11 | 54 | |
| 12 | 42 | |
| 13 | 16 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | 19 | |
| 17 | 23 | |
| 18 | 2 | |
| 19 | 117 | |
| 20 | [Prognostic factors in amyotrophic lateral sclerosis]. | 9 |
About Joan Martí‐Fàbregas
Joan Martí‐Fàbregas is a scholar working on Neurology, Internal Medicine and Epidemiology, having authored 183 papers that have together received 3.6k indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (84 papers), Intracerebral and Subarachnoid Hemorrhage Research (45 papers) and Cerebrovascular and Carotid Artery Diseases (45 papers). The work is most often cited by research in Internal Medicine (384 citations), Neurology (1.2k citations) and Neurology (404 citations). Joan Martí‐Fàbregas has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Raquel Delgado‐Mederos, Dolores Cocho, R. Belvís, Elena Jiménez‐Xarrié, J.-L. Martí–Vilalta, Rebeca Marín, Josep-Lluis Martí-Vilalta, Tomás Segura, Mar Castellanos and Alejandro Martínez‐Domeño. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.
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.