Miguel Yus
- Neurology top 5%
- Cognitive Neuroscience top 5%
- Psychiatry and Mental health top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 5%
- Co-authors
- Manuela JorqueraJordi A. Matías‐GuiuJorge Matías‐GuiuCristina Delgado‐AlonsoJuan ArrazolaFernando MaestúCarmen PoliduraNatividad Gómez‐Ruiz
- Topics
- Long-Term Effects of COVID-19 (13 papers)Functional Brain Connectivity Studies (10 papers)Alzheimer's disease research and treatments (6 papers)
- Partner nations
- SpainUnited StatesGermany
In The Last Decade
Miguel Yus
48 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Neurology 401
- Cognitive Neuroscience 394
- Psychiatry and Mental health 278
- Radiology, Nuclear Medicine and Imaging 205
- Neurology 180
Countries citing papers authored by Miguel Yus
This map shows the geographic impact of Miguel Yus'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 Miguel Yus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miguel Yus more than expected).
Fields of papers citing papers by Miguel Yus
This network shows the impact of papers produced by Miguel Yus. 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 Miguel Yus. The network helps show where Miguel Yus may publish in the future.
Co-authorship network of co-authors of Miguel Yus
This figure shows the co-authorship network connecting the top 25 collaborators of Miguel Yus. A scholar is included among the top collaborators of Miguel Yus 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 Miguel Yus. Miguel Yus 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 | 4 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | Multimodal neuroimaging in post-COVID syndrome and correlation with cognitionbreakdown → | 123 |
| 9 | 38 | |
| 10 | 16 | |
| 11 | Cognitive dysfunction associated with COVID-19: A comprehensive neuropsychological studybreakdown → | 102 |
| 12 | 27 | |
| 13 | 7 | |
| 14 | 12 | |
| 15 | 23 | |
| 16 | 71 | |
| 17 | 16 | |
| 18 | 21 | |
| 19 | 5 | |
| 20 | 9 |
About Miguel Yus
Miguel Yus is a scholar working on Neurology, Sensory Systems and Psychiatry and Mental health, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (13 papers), Functional Brain Connectivity Studies (10 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Neurology (401 citations), Critical Care and Intensive Care Medicine (129 citations) and Neurology (180 citations). Miguel Yus has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Manuela Jorquera, Jordi A. Matías‐Guiu, Jorge Matías‐Guiu, Cristina Delgado‐Alonso, Juan Arrazola, Fernando Maestú, Carmen Polidura, Natividad Gómez‐Ruiz, Alberto Marcos and María Eugenia López. Their work appears in journals such as Brain, Scientific Reports and European Heart Journal.
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.