K. Takeda

62 total papers · 422 total citations
28 papers, 304 citations indexed

About

K. Takeda is a scholar working on Cardiology and Cardiovascular Medicine, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, K. Takeda has authored 28 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 7 papers in Behavioral Neuroscience and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in K. Takeda's work include Stress Responses and Cortisol (7 papers), Heart Rate Variability and Autonomic Control (5 papers) and Hormonal Regulation and Hypertension (4 papers). K. Takeda is often cited by papers focused on Stress Responses and Cortisol (7 papers), Heart Rate Variability and Autonomic Control (5 papers) and Hormonal Regulation and Hypertension (4 papers). K. Takeda collaborates with scholars based in Japan, United States and Russia. K. Takeda's co-authors include R D Buñag, T. Inoue, Yushi Ito, Hamao Ijichi, Hakuo Takahashi, Manabu Yoshimura, Ruben Buñag, E. Riley, Masaru Kawamura and A. Inoue and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and Neuroscience.

In The Last Decade

K. Takeda

28 papers receiving 271 citations

Author Peers

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

Author						Papers	Cites
K. Takeda	87	80	76	66	62	28	304
Jaakko Linkola	50 0.6×	59 0.7×	47 0.6×	36 0.5×	47 0.8×	18	335
C. C. Barney	187 2.1×	68 0.8×	93 1.2×	48 0.7×	46 0.7×	20	359
Ronald L. Dundore	120 1.4×	133 1.7×	98 1.3×	36 0.5×	56 0.9×	20	333
André Henrique Freiria-Oliveira	67 0.8×	63 0.8×	129 1.7×	37 0.6×	30 0.5×	31	355
Shigeo Nakaishi	61 0.7×	71 0.9×	34 0.4×	130 2.0×	34 0.5×	17	284
Guy Leach	100 1.1×	119 1.5×	63 0.8×	42 0.6×	108 1.7×	39	354
Michio Miyoshi	54 0.6×	60 0.8×	99 1.3×	17 0.3×	56 0.9×	22	363
Takeshi Saigusa	65 0.7×	64 0.8×	185 2.4×	38 0.6×	61 1.0×	18	358
H Dlouhá	80 0.9×	104 1.3×	27 0.4×	30 0.5×	56 0.9×	38	333
Hans‐Georg Güllner	55 0.6×	106 1.3×	43 0.6×	64 1.0×	73 1.2×	24	288

Countries citing papers authored by K. Takeda

Since Specialization

Citations

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

Fields of papers citing papers by K. Takeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Takeda

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