Takaoki Saneyasu

62 total papers · 812 total citations
54 papers, 681 citations indexed

About

Takaoki Saneyasu is a scholar working on Endocrine and Autonomic Systems, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Takaoki Saneyasu has authored 54 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Endocrine and Autonomic Systems, 23 papers in Molecular Biology and 15 papers in Cellular and Molecular Neuroscience. Recurrent topics in Takaoki Saneyasu's work include Regulation of Appetite and Obesity (27 papers), Biochemical Analysis and Sensing Techniques (15 papers) and Neuropeptides and Animal Physiology (14 papers). Takaoki Saneyasu is often cited by papers focused on Regulation of Appetite and Obesity (27 papers), Biochemical Analysis and Sensing Techniques (15 papers) and Neuropeptides and Animal Physiology (14 papers). Takaoki Saneyasu collaborates with scholars based in Japan, Egypt and United States. Takaoki Saneyasu's co-authors include Hiroshi Kamisoyama, Kazuhisa Honda, Shin Hasegawa, Kunio Sugahara, Koji Aoki, Takao Sakai, Riaz Akhtar, Yôko Nakayama, Takuya Yamaguchi and Tomohiko Shimatani and has published in prestigious journals such as Physiology & Behavior, BioMed Research International and Neuroscience Letters.

In The Last Decade

Takaoki Saneyasu

50 papers receiving 668 citations

Author Peers

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

Author						Papers	Cites
Takaoki Saneyasu	331	203	189	157	152	54	681
T. R. Kasser	209 0.6×	107 0.5×	103 0.5×	115 0.7×	301 2.0×	36	788
Kohzy Hiramatsu	165 0.5×	117 0.6×	113 0.6×	162 1.0×	45 0.3×	62	770
Takenori Onaga	126 0.4×	72 0.4×	116 0.6×	106 0.7×	128 0.8×	56	601
Atsushi Ohgushi	537 1.6×	259 1.3×	375 2.0×	45 0.3×	125 0.8×	27	747
Yoshiaki TERASHIMA	180 0.5×	74 0.4×	177 0.9×	222 1.4×	165 1.1×	41	784
Hideto Kuwayama	135 0.4×	68 0.3×	89 0.5×	271 1.7×	108 0.7×	52	580
T. Nakanishi	106 0.3×	71 0.3×	130 0.7×	136 0.9×	67 0.4×	46	640
Marcin B. Arciszewski	109 0.3×	103 0.5×	90 0.5×	149 0.9×	108 0.7×	95	695
D. Lamošová	214 0.6×	295 1.5×	78 0.4×	45 0.3×	89 0.6×	28	581
Paul U. Dubuc	241 0.7×	42 0.2×	103 0.5×	129 0.8×	306 2.0×	36	646

Countries citing papers authored by Takaoki Saneyasu

Since Specialization

Citations

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

Fields of papers citing papers by Takaoki Saneyasu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takaoki Saneyasu

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