N. Takeda

34 total papers · 609 total citations
22 papers, 527 citations indexed

About

N. Takeda is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Molecular Biology. According to data from OpenAlex, N. Takeda has authored 22 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 6 papers in Physiology and 5 papers in Molecular Biology. Recurrent topics in N. Takeda's work include Cardiovascular Function and Risk Factors (8 papers), Cardiovascular and exercise physiology (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). N. Takeda is often cited by papers focused on Cardiovascular Function and Risk Factors (8 papers), Cardiovascular and exercise physiology (5 papers) and Cardiac electrophysiology and arrhythmias (4 papers). N. Takeda collaborates with scholars based in Japan, Germany and Canada. N. Takeda's co-authors include T Tsukada, Shin-Ichi Nishikawa, Yasuhiro Tomooka, Yoshihiro Ueda, Setsuo Takai, Yoshitaka Suda, Takahito Yagi, Shinichi Abe, Naranjan S. Dhalla and Heinz Rupp and has published in prestigious journals such as European Heart Journal, Journal of Pharmacology and Experimental Therapeutics and Cardiovascular Research.

In The Last Decade

N. Takeda

20 papers receiving 509 citations

Author Peers

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

Author						Papers	Cites
N. Takeda	277	197	147	72	63	22	527
Svetlana Laidinen	287 1.0×	175 0.9×	125 0.9×	52 0.7×	62 1.0×	23	559
Mimi Tamamori	286 1.0×	86 0.4×	145 1.0×	47 0.7×	74 1.2×	17	446
J. Villaudy	303 1.1×	101 0.5×	51 0.3×	169 2.3×	29 0.5×	22	540
Eva Tarantino	193 0.7×	103 0.5×	81 0.6×	70 1.0×	42 0.7×	18	592
Can‐E Tang	385 1.4×	122 0.6×	60 0.4×	171 2.4×	36 0.6×	36	568
Wei Gong	282 1.0×	80 0.4×	47 0.3×	40 0.6×	19 0.3×	23	504
Weili Xue	278 1.0×	98 0.5×	50 0.3×	119 1.7×	56 0.9×	23	551
Trenis D. Palmer	331 1.2×	195 1.0×	25 0.2×	93 1.3×	42 0.7×	16	615
Claudia Esposito	186 0.7×	170 0.9×	124 0.8×	170 2.4×	22 0.3×	22	553
M Oguro	336 1.2×	237 1.2×	69 0.5×	25 0.3×	23 0.4×	32	538

Countries citing papers authored by N. Takeda

Since Specialization

Citations

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

Fields of papers citing papers by N. Takeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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