Misako Kaido

46 total papers · 716 total citations
31 papers, 498 citations indexed

About

Misako Kaido is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Misako Kaido has authored 31 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Neurology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Misako Kaido's work include Muscle Physiology and Disorders (7 papers), Genetic Neurodegenerative Diseases (6 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Misako Kaido is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Genetic Neurodegenerative Diseases (6 papers) and Neurogenetic and Muscular Disorders Research (5 papers). Misako Kaido collaborates with scholars based in Japan and United States. Misako Kaido's co-authors include Kiichi Arahata, Eri Arikawa, Eric P. Hoffman, Harutoshi Fujimura, Takehiko Yanagihara, Hideo Sugita, Ikuya Nonaka, Saburo Sakoda, Ikuya Nonaka and H Sugita and has published in prestigious journals such as Neurology, Annals of Neurology and Scientific Reports.

In The Last Decade

Misako Kaido

29 papers receiving 487 citations

Author Peers

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

Author Last Decade Papers Cites
Misako Kaido 368 109 105 92 77 31 498
Tiziana Mongini 397 1.1× 117 1.1× 141 1.3× 110 1.2× 45 0.6× 46 592
J. J. Fulthorpe 285 0.8× 94 0.9× 69 0.7× 82 0.9× 38 0.5× 16 465
Sara Biagiotti 222 0.6× 72 0.7× 60 0.6× 91 1.0× 74 1.0× 24 519
Toshiya Nakano 257 0.7× 46 0.4× 93 0.9× 72 0.8× 213 2.8× 20 540
M.L. Mostacciuolo 289 0.8× 119 1.1× 113 1.1× 31 0.3× 45 0.6× 18 465
M. Chevallay 415 1.1× 96 0.9× 88 0.8× 59 0.6× 31 0.4× 22 480
Andrée Rouche 460 1.3× 128 1.2× 186 1.8× 30 0.3× 66 0.9× 18 595
Davi A. G. Mázala 456 1.2× 55 0.5× 73 0.7× 141 1.5× 27 0.4× 21 548
Zhiying Xie 278 0.8× 79 0.7× 102 1.0× 80 0.9× 154 2.0× 60 545
Alba Migliorato 236 0.6× 60 0.6× 49 0.5× 122 1.3× 30 0.4× 29 461

Countries citing papers authored by Misako Kaido

Since Specialization
Citations

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

Fields of papers citing papers by Misako Kaido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Misako Kaido

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