Sabas Boyero

19 total papers · 789 total citations
11 papers, 444 citations indexed

About

Sabas Boyero is a scholar working on Neurology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Sabas Boyero has authored 11 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 6 papers in Pathology and Forensic Medicine and 2 papers in Epidemiology. Recurrent topics in Sabas Boyero's work include Multiple Sclerosis Research Studies (5 papers), Neurological disorders and treatments (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Sabas Boyero is often cited by papers focused on Multiple Sclerosis Research Studies (5 papers), Neurological disorders and treatments (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). Sabas Boyero collaborates with scholars based in Spain and Sweden. Sabas Boyero's co-authors include Balázs Döme, Lídia Sabater, Hendrik Jan Ankersmit, Romana Höftberger, Josep Dalmau, Anita Rózsás, Lutz Harms, Francesc Graus, Viktória László and Balázs Hegedűs and has published in prestigious journals such as Neurology, Frontiers in Immunology and Frontiers in Neurology.

In The Last Decade

Sabas Boyero

11 papers receiving 426 citations

Author Peers

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

Author Last Decade Papers Cites
Sabas Boyero 385 100 76 75 69 11 444
Aurélien Viaccoz 367 1.0× 132 1.3× 54 0.7× 52 0.7× 87 1.3× 16 467
Alexander Carvajal-González 381 1.0× 80 0.8× 100 1.3× 69 0.9× 46 0.7× 9 412
Alicia de Felipe 337 0.9× 99 1.0× 68 0.9× 66 0.9× 99 1.4× 14 422
Melanie Ramberger 314 0.8× 54 0.5× 35 0.5× 47 0.6× 60 0.9× 14 411
Müjgan Dogan Onugoren 255 0.7× 45 0.5× 68 0.9× 113 1.5× 40 0.6× 18 474
Tatsuya Monzen 381 1.0× 150 1.5× 67 0.9× 58 0.8× 59 0.9× 5 426
Anjan Nibber 282 0.7× 62 0.6× 67 0.9× 90 1.2× 62 0.9× 22 460
LORD BRAIN 339 0.9× 101 1.0× 39 0.5× 113 1.5× 24 0.3× 8 449
Anne‐Laurie Pinto 337 0.9× 58 0.6× 59 0.8× 42 0.6× 58 0.8× 14 411
Callum Smith 156 0.4× 35 0.3× 79 1.0× 104 1.4× 27 0.4× 19 401

Countries citing papers authored by Sabas Boyero

Since Specialization
Citations

This map shows the geographic impact of Sabas Boyero'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 Sabas Boyero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabas Boyero more than expected).

Fields of papers citing papers by Sabas Boyero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sabas Boyero. 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 Sabas Boyero. The network helps show where Sabas Boyero may publish in the future.

Co-authorship network of co-authors of Sabas Boyero

This figure shows the co-authorship network connecting the top 25 collaborators of Sabas Boyero. A scholar is included among the top collaborators of Sabas Boyero 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 Sabas Boyero. Sabas Boyero 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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