Yuki Hayano

10 total papers · 636 total citations
6 papers, 473 citations indexed

About

Yuki Hayano is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Yuki Hayano has authored 6 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Endocrine and Autonomic Systems. Recurrent topics in Yuki Hayano's work include Neuroscience and Neuropharmacology Research (2 papers), Receptor Mechanisms and Signaling (2 papers) and Circadian rhythm and melatonin (2 papers). Yuki Hayano is often cited by papers focused on Neuroscience and Neuropharmacology Research (2 papers), Receptor Mechanisms and Signaling (2 papers) and Circadian rhythm and melatonin (2 papers). Yuki Hayano collaborates with scholars based in Japan, United States and China. Yuki Hayano's co-authors include Kazuhiro Suzuki, Akiko Nakai, Masaki Noda, Ryohei Yasuda, Yoshihisa Nakahata, Paula Parra-Bueno, Benjamin Scholl, Jun Chu, Tal Laviv and Long Yan and has published in prestigious journals such as Nature Communications, Neuron and The Journal of Experimental Medicine.

In The Last Decade

Yuki Hayano

6 papers receiving 467 citations

Author Peers

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

Author Last Decade Papers Cites
Yuki Hayano 139 114 108 101 88 6 473
William A. Banks 106 0.8× 68 0.6× 104 1.0× 179 1.8× 113 1.3× 7 548
Cristina Godinho‐Silva 106 0.8× 50 0.4× 92 0.9× 76 0.8× 151 1.7× 8 532
Federica Saporiti 91 0.7× 78 0.7× 28 0.3× 84 0.8× 131 1.5× 11 450
Csilla Vincze 159 1.1× 147 1.3× 66 0.6× 135 1.3× 54 0.6× 7 466
Jessica M. Crain 75 0.5× 65 0.6× 56 0.5× 330 3.3× 68 0.8× 6 512
Julie A. McLachlan 88 0.6× 62 0.5× 155 1.4× 36 0.4× 86 1.0× 7 411
Adrien Lacaud 85 0.6× 59 0.5× 28 0.3× 63 0.6× 92 1.0× 10 523
Chuyue Yu 84 0.6× 50 0.4× 83 0.8× 57 0.6× 172 2.0× 7 503
NJ Rothwell 133 1.0× 81 0.7× 26 0.2× 219 2.2× 78 0.9× 13 449
Weihao Mai 115 0.8× 55 0.5× 59 0.5× 181 1.8× 80 0.9× 6 451

Countries citing papers authored by Yuki Hayano

Since Specialization
Citations

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

Fields of papers citing papers by Yuki Hayano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuki Hayano

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