Hiroyasu Takeda

48 total papers · 616 total citations
27 papers, 481 citations indexed

About

Hiroyasu Takeda is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hiroyasu Takeda has authored 27 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Neurology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hiroyasu Takeda's work include Advanced MRI Techniques and Applications (15 papers), Intracranial Aneurysms: Treatment and Complications (6 papers) and MRI in cancer diagnosis (5 papers). Hiroyasu Takeda is often cited by papers focused on Advanced MRI Techniques and Applications (15 papers), Intracranial Aneurysms: Treatment and Complications (6 papers) and MRI in cancer diagnosis (5 papers). Hiroyasu Takeda collaborates with scholars based in Japan, United States and Germany. Hiroyasu Takeda's co-authors include Haruo Isoda, Yasuo Takehara, Harumi Sakahara, Satoshi Isogai, Atsushi Nozaki, Marcus T. Alley, Norbert J. Pelc, Shoichi Inagawa, Shuhei Yamashita and Michael Markl and has published in prestigious journals such as British Journal of Cancer, Magnetic Resonance in Medicine and Neuropsychopharmacology.

In The Last Decade

Hiroyasu Takeda

27 papers receiving 469 citations

Author Peers

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

Author						Papers	Cites
Hiroyasu Takeda	206	168	155	64	57	27	481
S Imakita	198 1.0×	209 1.2×	130 0.8×	69 1.1×	84 1.5×	26	477
Rafael Glikstein	108 0.5×	115 0.7×	147 0.9×	107 1.7×	38 0.7×	45	482
Tao Jiang	139 0.7×	137 0.8×	130 0.8×	65 1.0×	53 0.9×	28	478
Jianxun Qu	292 1.4×	112 0.7×	65 0.4×	62 1.0×	37 0.6×	33	438
Kiyotaka Fujii	133 0.6×	79 0.5×	95 0.6×	120 1.9×	24 0.4×	24	533
E. W. Radü	154 0.7×	90 0.5×	128 0.8×	29 0.5×	23 0.4×	24	466
U. Dorenbeck	188 0.9×	137 0.8×	154 1.0×	132 2.1×	23 0.4×	35	505
Nozomi Hamasaki	385 1.9×	131 0.8×	149 1.0×	60 0.9×	15 0.3×	17	513
Paul N. Malcolm	108 0.5×	51 0.3×	106 0.7×	149 2.3×	40 0.7×	32	491
Choong-Gon Choi	182 0.9×	145 0.9×	214 1.4×	28 0.4×	18 0.3×	27	532

Countries citing papers authored by Hiroyasu Takeda

Since Specialization

Citations

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

Fields of papers citing papers by Hiroyasu Takeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroyasu Takeda

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