Masafumi Koide

50 total papers · 424 total citations
23 papers, 308 citations indexed

About

Masafumi Koide is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Masafumi Koide has authored 23 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 11 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Masafumi Koide's work include Cardiac electrophysiology and arrhythmias (6 papers), Signaling Pathways in Disease (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Masafumi Koide is often cited by papers focused on Cardiac electrophysiology and arrhythmias (6 papers), Signaling Pathways in Disease (5 papers) and Cardiovascular Function and Risk Factors (4 papers). Masafumi Koide collaborates with scholars based in Japan and United States. Masafumi Koide's co-authors include Mitsuhiro Yokota, Rocky S. Tuan, Akio Iio, Tamao Ono, Kyoko Hidaka, Takayuki Morisaki, Mitsunori Iwase, Sadao Yasugi, Lillian Chau and Yoshitaka Sakamoto and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Biochemical and Biophysical Research Communications.

In The Last Decade

Masafumi Koide

23 papers receiving 300 citations

Author Peers

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

Author						Papers	Cites
Masafumi Koide	167	130	62	50	39	23	308
Philip Haines	147 0.9×	79 0.6×	22 0.4×	27 0.5×	52 1.3×	26	328
Charles P. Rabolli	125 0.7×	171 1.3×	27 0.4×	13 0.3×	62 1.6×	17	333
Katharine A. Kott	77 0.5×	116 0.9×	22 0.4×	32 0.6×	83 2.1×	23	311
Xin Li	65 0.4×	113 0.9×	32 0.5×	13 0.3×	48 1.2×	28	344
Jingyuan Song	32 0.2×	181 1.4×	28 0.5×	16 0.3×	42 1.1×	20	350
Aleksandra Mas‐Stachurska	139 0.8×	100 0.8×	60 1.0×	43 0.9×	49 1.3×	24	311
J. Emanuel Finet	255 1.5×	100 0.8×	18 0.3×	13 0.3×	17 0.4×	24	314
Daniela Rubino	34 0.2×	151 1.2×	28 0.5×	37 0.7×	36 0.9×	28	314
Meiricris Tomaz da Silva	34 0.2×	248 1.9×	29 0.5×	18 0.4×	42 1.1×	23	343
Jared Radtke	53 0.3×	89 0.7×	123 2.0×	35 0.7×	120 3.1×	21	350

Countries citing papers authored by Masafumi Koide

Since Specialization

Citations

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

Fields of papers citing papers by Masafumi Koide

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masafumi Koide

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