Miguel Yus

86 total papers · 1.8k total citations
49 papers, 1.1k citations indexed

About

Miguel Yus is a scholar working on Neurology, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Miguel Yus has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Neurology, 16 papers in Cognitive Neuroscience and 13 papers in Psychiatry and Mental health. Recurrent topics in Miguel Yus's work include Long-Term Effects of COVID-19 (12 papers), Functional Brain Connectivity Studies (10 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Miguel Yus is often cited by papers focused on Long-Term Effects of COVID-19 (12 papers), Functional Brain Connectivity Studies (10 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Miguel Yus collaborates with scholars based in Spain, United States and Germany. Miguel Yus's co-authors include Manuela Jorquera, Jordi A. Matías‐Guiu, Jorge Matías‐Guiu, Juan Arrazola, Cristina Delgado‐Alonso, Fernando Maestú, Alberto Marcos, Natividad Gómez‐Ruiz, Carmen Polidura and María Eugenia López and has published in prestigious journals such as Brain, Scientific Reports and European Heart Journal.

In The Last Decade

Miguel Yus

48 papers receiving 1.1k citations

Hit Papers

Multimodal neuroimaging i... 2022 2026 2023 2024 2022 2022 25 50 75 100

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Miguel Yus 386 380 274 201 169 49 1.1k
Daniela Di Giuda 274 0.7× 497 1.3× 189 0.7× 115 0.6× 196 1.2× 72 1.4k
María Díez‐Cirarda 565 1.5× 624 1.6× 212 0.8× 257 1.3× 114 0.7× 50 1.1k
Elisabetta Farina 380 1.0× 269 0.7× 561 2.0× 100 0.5× 197 1.2× 64 1.5k
Tracy D. Vannorsdall 407 1.1× 182 0.5× 215 0.8× 130 0.6× 375 2.2× 53 1.4k
Amy Jolly 236 0.6× 690 1.8× 106 0.4× 169 0.8× 269 1.6× 27 1.3k
Luca Sebastianelli 246 0.6× 531 1.4× 183 0.7× 52 0.3× 402 2.4× 69 1.4k
Patrick Jung 641 1.7× 147 0.4× 177 0.6× 267 1.3× 463 2.7× 39 1.5k
Alessandra Del Felice 619 1.6× 263 0.7× 369 1.3× 117 0.6× 299 1.8× 86 1.4k
Abhishek Jaywant 284 0.7× 431 1.1× 164 0.6× 66 0.3× 85 0.5× 54 1.0k
María Valles‐Salgado 328 0.8× 282 0.7× 495 1.8× 41 0.2× 125 0.7× 44 932

Countries citing papers authored by Miguel Yus

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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