Nobuko Shibuya

27 total papers · 670 total citations
19 papers, 557 citations indexed

About

Nobuko Shibuya is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Nobuko Shibuya has authored 19 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 7 papers in Molecular Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Nobuko Shibuya's work include Cardiac electrophysiology and arrhythmias (8 papers), Ion channel regulation and function (6 papers) and Cardiac Ischemia and Reperfusion (5 papers). Nobuko Shibuya is often cited by papers focused on Cardiac electrophysiology and arrhythmias (8 papers), Ion channel regulation and function (6 papers) and Cardiac Ischemia and Reperfusion (5 papers). Nobuko Shibuya collaborates with scholars based in Japan, United States and Paraguay. Nobuko Shibuya's co-authors include Hideo Kimura, Yoshinori Mikami, Yuka Kimura, Yasunori Momose, Mitsuaki Yamazaki, Noboru Hatakeyama, Takashi Akiyama, Hidetaka Kaku, Shigeo Yamamura and Yusuke Ito and has published in prestigious journals such as Anesthesia & Analgesia, Plant and Cell Physiology and The Journal of Biochemistry.

In The Last Decade

Nobuko Shibuya

19 papers receiving 543 citations

Author Peers

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

Author						Papers	Cites
Nobuko Shibuya	378	161	147	119	64	19	557
Valerio Tazzari	425 1.1×	146 0.9×	144 1.0×	118 1.0×	25 0.4×	13	586
Biljana Bursać	162 0.4×	195 1.2×	140 1.0×	44 0.4×	27 0.4×	24	577
Maho Matsunami	162 0.4×	205 1.3×	138 0.9×	140 1.2×	12 0.2×	13	517
Selena Chen	247 0.7×	120 0.7×	156 1.1×	52 0.4×	186 2.9×	35	647
Tsuyoshi Takata	252 0.7×	88 0.5×	303 2.1×	18 0.2×	36 0.6×	26	538
Gang Tan	183 0.5×	49 0.3×	78 0.5×	44 0.4×	15 0.2×	20	506
O. W. Peterson	104 0.3×	181 1.1×	227 1.5×	41 0.3×	99 1.5×	29	603
Balasubramanian Srilatha	191 0.5×	70 0.4×	70 0.5×	87 0.7×	13 0.2×	25	519
Christa Zollbrecht	136 0.4×	387 2.4×	105 0.7×	45 0.4×	143 2.2×	14	622
Margarida Mendonca	144 0.4×	269 1.7×	150 1.0×	32 0.3×	218 3.4×	15	643

Countries citing papers authored by Nobuko Shibuya

Since Specialization

Citations

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

Fields of papers citing papers by Nobuko Shibuya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuko Shibuya

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