Takuto Hideyama

61 total papers · 1.2k total citations
38 papers, 908 citations indexed

About

Takuto Hideyama is a scholar working on Molecular Biology, Neurology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Takuto Hideyama has authored 38 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 21 papers in Neurology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Takuto Hideyama's work include RNA regulation and disease (16 papers), Amyotrophic Lateral Sclerosis Research (12 papers) and Viral Infections and Immunology Research (8 papers). Takuto Hideyama is often cited by papers focused on RNA regulation and disease (16 papers), Amyotrophic Lateral Sclerosis Research (12 papers) and Viral Infections and Immunology Research (8 papers). Takuto Hideyama collaborates with scholars based in Japan, United Kingdom and Germany. Takuto Hideyama's co-authors include Shin Kwak, Takenari Yamashita, Hitoshi Aizawa, Shoji Tsuji, Sayaka Teramoto, Hitoshi Takahashi, Akiyoshi Kakita, Takeshi Suzuki, Takashi Kimura and Jiro Takano and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Takuto Hideyama

36 papers receiving 900 citations

Author Peers

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

Author Last Decade Papers Cites
Takuto Hideyama 639 465 223 156 70 38 908
Roger B. Sher 436 0.7× 212 0.5× 151 0.7× 111 0.7× 104 1.5× 23 742
Irene Faravelli 677 1.1× 216 0.5× 352 1.6× 209 1.3× 121 1.7× 41 1.0k
Madoka Iida 436 0.7× 233 0.5× 234 1.0× 349 2.2× 78 1.1× 39 832
Lucía Galán 435 0.7× 284 0.6× 153 0.7× 103 0.7× 137 2.0× 41 780
Serena Ghezzi 469 0.7× 270 0.6× 161 0.7× 205 1.3× 135 1.9× 33 941
Roberto Cotrufo 602 0.9× 273 0.6× 151 0.7× 198 1.3× 119 1.7× 39 987
Andrew Hwang 567 0.9× 301 0.6× 167 0.7× 97 0.6× 222 3.2× 28 964
Po‐Min Chiang 516 0.8× 549 1.2× 381 1.7× 151 1.0× 131 1.9× 24 1.1k
Elena Abati 396 0.6× 155 0.3× 185 0.8× 157 1.0× 72 1.0× 38 712
Akihide Koyama 409 0.6× 517 1.1× 304 1.4× 84 0.5× 101 1.4× 45 861

Countries citing papers authored by Takuto Hideyama

Since Specialization
Citations

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

Fields of papers citing papers by Takuto Hideyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuto Hideyama

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