Mitsuaki Takami

40 total papers · 860 total citations
21 papers, 581 citations indexed

About

Mitsuaki Takami is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mitsuaki Takami has authored 21 papers receiving a total of 581 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 1 paper in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mitsuaki Takami's work include Cardiac electrophysiology and arrhythmias (16 papers), Cardiac Arrhythmias and Treatments (13 papers) and ECG Monitoring and Analysis (8 papers). Mitsuaki Takami is often cited by papers focused on Cardiac electrophysiology and arrhythmias (16 papers), Cardiac Arrhythmias and Treatments (13 papers) and ECG Monitoring and Analysis (8 papers). Mitsuaki Takami collaborates with scholars based in Japan and United States. Mitsuaki Takami's co-authors include Kaoru Sugi, Takanori Ikeda, Yoshihisa Enjoji, Tetsu Yamaguchi, Mahito Noro, Takao Sakata, Naoki Tezuka, Takeshi Nakae, Harumizu Sakurada and Koichi Sakabe and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Mitsuaki Takami

21 papers receiving 561 citations

Author Peers

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

Author Last Decade Papers Cites
Mitsuaki Takami 569 219 19 16 14 21 581
Yasuko Tanabe 452 0.8× 331 1.5× 20 1.1× 19 1.2× 28 2.0× 28 558
Shinya Kowase 529 0.9× 172 0.8× 14 0.7× 19 1.2× 33 2.4× 34 553
Satoru Komura 426 0.7× 194 0.9× 14 0.7× 26 1.6× 43 3.1× 42 517
Takao Sakata 473 0.8× 175 0.8× 17 0.9× 14 0.9× 16 1.1× 29 542
Ramarao S. Lankipalli 531 0.9× 178 0.8× 22 1.2× 26 1.6× 31 2.2× 10 559
Krystien V.V. Lieve 494 0.9× 225 1.0× 19 1.0× 19 1.2× 38 2.7× 18 528
Tiziana Giovannini 442 0.8× 271 1.2× 8 0.4× 29 1.8× 33 2.4× 16 525
Roman Fish 499 0.9× 220 1.0× 7 0.4× 19 1.2× 45 3.2× 18 591
Alice Maltret 552 1.0× 199 0.9× 21 1.1× 17 1.1× 59 4.2× 37 635
Christian Mewis 558 1.0× 70 0.3× 38 2.0× 16 1.0× 36 2.6× 33 598

Countries citing papers authored by Mitsuaki Takami

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuaki Takami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuaki Takami

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