Takuya Urushihata

25 total papers · 699 total citations
15 papers, 134 citations indexed

About

Takuya Urushihata is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrine and Autonomic Systems and Neurology. According to data from OpenAlex, Takuya Urushihata has authored 15 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Endocrine and Autonomic Systems and 5 papers in Neurology. Recurrent topics in Takuya Urushihata's work include Circadian rhythm and melatonin (5 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Takuya Urushihata is often cited by papers focused on Circadian rhythm and melatonin (5 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Takuya Urushihata collaborates with scholars based in Japan, United States and France. Takuya Urushihata's co-authors include Hiroyuki Takuwa, Tetsuya Matsuura, Makoto Higuchi, Hiroshi Ito, Chie Seki, Tetsuya Suhara, Yuhei Takado, Ichio Aoki, Naruhiko Sahara and Masafumi Shimojo and has published in prestigious journals such as Journal of Neuroscience, Scientific Reports and Frontiers in Neuroscience.

In The Last Decade

Takuya Urushihata

15 papers receiving 133 citations

Author Peers

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

Author						Papers	Cites
Takuya Urushihata	46	45	30	23	21	15	134
W. Zou	28 0.6×	21 0.5×	41 1.4×	9 0.4×	15 0.7×	16	137
Annah M. Moore	79 1.7×	61 1.4×	64 2.1×	11 0.5×	16 0.8×	12	270
Fernanda Crunfli	40 0.9×	57 1.3×	18 0.6×	9 0.4×	18 0.9×	14	217
Ziqi Yuan	36 0.8×	29 0.6×	49 1.6×	5 0.2×	10 0.5×	10	181
Zhaozhi Li	88 1.9×	27 0.6×	89 3.0×	5 0.2×	8 0.4×	15	195
Ya‐Ru Zhang	64 1.4×	67 1.5×	19 0.6×	28 1.2×	7 0.3×	13	206
Giuliana S. Zuccoli	56 1.2×	34 0.8×	20 0.7×	9 0.4×	12 0.6×	21	226
Mariá José Lagartos-Donate	46 1.0×	78 1.7×	34 1.1×	8 0.3×	82 3.9×	15	222
Jing–tao Dou	100 2.2×	60 1.3×	23 0.8×	5 0.2×	21 1.0×	17	274
Hiroki Kimoto	22 0.5×	72 1.6×	55 1.8×	9 0.4×	9 0.4×	15	218

Countries citing papers authored by Takuya Urushihata

Since Specialization

Citations

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

Fields of papers citing papers by Takuya Urushihata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Urushihata

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