Tomoko Arakaki

54 total papers · 1.3k total citations
27 papers, 753 citations indexed

About

Tomoko Arakaki is a scholar working on Neurology, Psychiatry and Mental health and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tomoko Arakaki has authored 27 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Neurology, 6 papers in Psychiatry and Mental health and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tomoko Arakaki's work include Parkinson's Disease Mechanisms and Treatments (14 papers), Neurological disorders and treatments (9 papers) and Botulinum Toxin and Related Neurological Disorders (5 papers). Tomoko Arakaki is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (14 papers), Neurological disorders and treatments (9 papers) and Botulinum Toxin and Related Neurological Disorders (5 papers). Tomoko Arakaki collaborates with scholars based in Argentina, Cuba and Spain. Tomoko Arakaki's co-authors include Nélida Garretto, Mario Álvarez, Mayela Rodríguez‐Violante, Juan Carlos Martínez‐Castrillo, Carmen Rodríguez‐Blázquez, Pablo Martínez‐Martín, José Manuel Rojo-Abuín, К. Ray Chaudhuri, Marcos Serrano‐Dueñas and Alberto Bergareche‐Yarza and has published in prestigious journals such as Neurology, Movement Disorders and Journal of Neurology.

In The Last Decade

Tomoko Arakaki

25 papers receiving 738 citations

Author Peers

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

Author Last Decade Papers Cites
Tomoko Arakaki 578 166 112 110 82 27 753
Nélida Garretto 492 0.9× 152 0.9× 96 0.9× 94 0.9× 64 0.8× 28 656
Henry Moore 450 0.8× 114 0.7× 71 0.6× 106 1.0× 64 0.8× 33 652
Pedro Chaná 446 0.8× 122 0.7× 49 0.4× 103 0.9× 69 0.8× 21 624
Corneliu Luca 366 0.6× 123 0.7× 120 1.1× 152 1.4× 55 0.7× 45 718
José Manuel Rojo-Abuín 684 1.2× 138 0.8× 86 0.8× 113 1.0× 150 1.8× 14 861
V. Campos Arillo 479 0.8× 152 0.9× 56 0.5× 84 0.8× 124 1.5× 15 676
Catarina Godinho 450 0.8× 167 1.0× 161 1.4× 64 0.6× 40 0.5× 58 743
Martijn Broen 645 1.1× 91 0.5× 40 0.4× 116 1.1× 132 1.6× 17 820
Àngels Bayés 566 1.0× 105 0.6× 235 2.1× 158 1.4× 42 0.5× 21 785
Urban Ekman 390 0.7× 305 1.8× 105 0.9× 209 1.9× 36 0.4× 33 746

Countries citing papers authored by Tomoko Arakaki

Since Specialization
Citations

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

Fields of papers citing papers by Tomoko Arakaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoko Arakaki

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