Luis Ayerbe
Impact in
- Rehabilitation top 0.2%
- Stroke Rehabilitation and Recovery
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
-
- Stroke Rehabilitation and Recovery 12
-
- COVID-19 Clinical Research Studies 4
- Co-authors
- Salma Ayis (22 shared papers)Charles Wolfe (11 shared papers)Anthony G. Rudd (6 shared papers)Siobhan Crichton (7 shared papers)Juliet Addo (4 shared papers)Ruoling Chen (1 shared paper)Keerthi Mohan (1 shared paper)Anita Sheldenkar (1 shared paper)
- Journals
- Journal of Affective Disorders (4 papers)Stroke (3 papers)European Psychiatry (3 papers)Age and Ageing (2 papers)BMJ Open (2 papers)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Luis Ayerbe
32 papers receiving 2.4k citations
Luis Ayerbe's Hit Papers
Peers
Comparison fields: 5 of 112
- Rehabilitation 949
- Biological Psychiatry 93
- Neurology 203
- Psychiatry and Mental health 287
- Epidemiology 458
Countries citing papers authored by Luis Ayerbe
This map shows the geographic impact of Luis Ayerbe'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 Luis Ayerbe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luis Ayerbe more than expected).
Fields of papers citing papers by Luis Ayerbe
This network shows the impact of papers produced by Luis Ayerbe. 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 Luis Ayerbe. The network helps show where Luis Ayerbe may publish in the future.
Co-authors
The 25 scholars most cited alongside Luis Ayerbe, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Natural history, predictors and outcomes of depression after stroke: systematic review and meta-analysis Hit paper breakdown → | 2013 | 750 |
| 2 | 2012 | 290 | |
| 3 | 2013 | 166 | |
| 4 | 2011 | 153 | |
| 5 | 2013 | 143 | |
| 6 | 2020 | 123 | |
| 7 | 2013 | 116 | |
| 8 | 2014 | 88 | |
| 9 | 2016 | 73 | |
| 10 | 2018 | 72 | |
| 11 | 2017 | 63 | |
| 12 | 2017 | 59 | |
| 13 | 2018 | 44 | |
| 14 | 2016 | 35 | |
| 15 | 2017 | 34 | |
| 16 | 2014 | 32 | |
| 17 | 2021 | 21 | |
| 18 | 2016 | 21 | |
| 19 | 2016 | 20 | |
| 20 | 2020 | 19 |
About Luis Ayerbe
Luis Ayerbe is a scholar working on Rehabilitation, Infectious Diseases, Epidemiology, Neurology and Cardiology and Cardiovascular Medicine, having authored 34 papers that have together received 2.4k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (12 papers), COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (3 papers), COVID-19 and healthcare impacts (2 papers), Schizophrenia research and treatment (2 papers), Acute Ischemic Stroke Management (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Neurological Disorders and Treatments (1 paper). The work is most often cited by research in Rehabilitation (949 citations), Biological Psychiatry (93 citations), Neurology (203 citations), Psychiatry and Mental health (287 citations) and Epidemiology (458 citations). Luis Ayerbe has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Salma Ayis, Charles Wolfe, Anthony G. Rudd, Siobhan Crichton, Juliet Addo, Ruoling Chen, Keerthi Mohan, Anita Sheldenkar, Christopher McKevitt and Rohini Mathur. Their work appears in journals such as Journal of Affective Disorders, Stroke, European Psychiatry, Age and Ageing and BMJ Open.
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.