T Takenaka

84 total papers · 936 total citations
56 papers, 698 citations indexed

About

T Takenaka is a scholar working on Cellular and Molecular Neuroscience, Neurology and Endocrine and Autonomic Systems. According to data from OpenAlex, T Takenaka has authored 56 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cellular and Molecular Neuroscience, 16 papers in Neurology and 11 papers in Endocrine and Autonomic Systems. Recurrent topics in T Takenaka's work include Neuropeptides and Animal Physiology (11 papers), Neuroscience of respiration and sleep (11 papers) and Intracranial Aneurysms: Treatment and Complications (8 papers). T Takenaka is often cited by papers focused on Neuropeptides and Animal Physiology (11 papers), Neuroscience of respiration and sleep (11 papers) and Intracranial Aneurysms: Treatment and Complications (8 papers). T Takenaka collaborates with scholars based in Japan, United States and Uruguay. T Takenaka's co-authors include Ichiji Tasaki, J. P. Segundo, Akira Watanabe, Tatsumi Kusakabe, Hideki Matsuda, Hidenori Horie, Yoshiaki Hayashida, Shunichi Yamagishi, M. Tsukuda and Hiromi Hiruma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Stroke and Journal of Neurophysiology.

In The Last Decade

T Takenaka

50 papers receiving 642 citations

Author Peers

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

Author						Papers	Cites
T Takenaka	418	175	129	107	106	56	698
Gontzal Garcı́a del Caño	268 0.6×	221 1.3×	156 1.2×	91 0.9×	138 1.3×	52	737
Guillermo Jaim-Etcheverry	432 1.0×	276 1.6×	89 0.7×	76 0.7×	136 1.3×	31	741
Cristiano Bombardi	265 0.6×	154 0.9×	85 0.7×	51 0.5×	92 0.9×	66	674
Tian Yu	440 1.1×	138 0.8×	245 1.9×	45 0.4×	52 0.5×	35	727
H Hoffman	313 0.7×	178 1.0×	79 0.6×	55 0.5×	110 1.0×	32	780
P Petrovický	220 0.5×	88 0.5×	212 1.6×	93 0.9×	71 0.7×	60	619
Satoshi Kuchiiwa	216 0.5×	133 0.8×	110 0.9×	142 1.3×	156 1.5×	48	570
Arnaud Arabo	223 0.5×	182 1.0×	140 1.1×	87 0.8×	60 0.6×	33	740
Bob Hutchins	262 0.6×	148 0.8×	193 1.5×	58 0.5×	189 1.8×	33	735
Marianna Boi	253 0.6×	149 0.9×	78 0.6×	34 0.3×	169 1.6×	43	712

Countries citing papers authored by T Takenaka

Since Specialization

Citations

This map shows the geographic impact of T Takenaka'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 T Takenaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Takenaka more than expected).

Fields of papers citing papers by T Takenaka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Takenaka

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