Yu Hayasaka

40 total papers · 5.5k total citations
25 papers, 3.5k citations indexed

About

Yu Hayasaka is a scholar working on Pharmacology, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Yu Hayasaka has authored 25 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pharmacology, 11 papers in Experimental and Cognitive Psychology and 7 papers in Psychiatry and Mental health. Recurrent topics in Yu Hayasaka's work include Treatment of Major Depression (14 papers), Mental Health Research Topics (8 papers) and Schizophrenia research and treatment (6 papers). Yu Hayasaka is often cited by papers focused on Treatment of Major Depression (14 papers), Mental Health Research Topics (8 papers) and Schizophrenia research and treatment (6 papers). Yu Hayasaka collaborates with scholars based in Japan, United Kingdom and Switzerland. Yu Hayasaka's co-authors include Nozomi Takeshima, Toshi A. Furukawa, Yusuke Ogawa, Aran Tajika, Andrea Cipriani, Stefan Leucht, Georgia Salanti, Anna Chaimani, Lauren Atkinson and Hissei Imai and has published in prestigious journals such as The Lancet, PLoS ONE and Cochrane Database of Systematic Reviews.

In The Last Decade

Yu Hayasaka

25 papers receiving 3.4k citations

Hit Papers

Comparative efficacy and ... 2018 2026 2020 2023 2018 500 1000 1.5k 2.0k

Author Peers

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

Author Last Decade Papers Cites
Yu Hayasaka 1.3k 844 821 725 491 25 3.5k
Nozomi Takeshima 1.3k 1.0× 848 1.0× 828 1.0× 726 1.0× 494 1.0× 29 3.5k
Kiyomi Shinohara 1.3k 1.0× 924 1.1× 746 0.9× 684 0.9× 431 0.9× 26 3.3k
Lauren Atkinson 1.3k 1.0× 794 0.9× 1.4k 1.8× 682 0.9× 748 1.5× 31 3.9k
Aran Tajika 1.3k 0.9× 908 1.1× 768 0.9× 694 1.0× 395 0.8× 63 3.5k
S. Danielle 1.5k 1.1× 835 1.0× 1.2k 1.5× 1.1k 1.6× 680 1.4× 80 3.9k
Henrik Loft 1.8k 1.3× 1.1k 1.3× 920 1.1× 542 0.7× 420 0.9× 60 3.0k
David W. Morris 994 0.7× 762 0.9× 1.0k 1.3× 442 0.6× 522 1.1× 74 3.5k
J. Craig Nelson 1.3k 0.9× 550 0.7× 1.4k 1.7× 564 0.8× 249 0.5× 56 3.4k
Hissei Imai 1.4k 1.0× 1.2k 1.4× 847 1.0× 692 1.0× 483 1.0× 81 4.6k
Hanna O. Woldeyohannes 750 0.6× 471 0.6× 1.5k 1.8× 839 1.2× 423 0.9× 50 3.3k

Countries citing papers authored by Yu Hayasaka

Since Specialization
Citations

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

Fields of papers citing papers by Yu Hayasaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Hayasaka

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