Seiki Nobe

29 total papers · 495 total citations
14 papers, 336 citations indexed

About

Seiki Nobe is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Seiki Nobe has authored 14 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 5 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Seiki Nobe's work include Cardiac electrophysiology and arrhythmias (7 papers), Cardiac Arrhythmias and Treatments (6 papers) and Ion channel regulation and function (3 papers). Seiki Nobe is often cited by papers focused on Cardiac electrophysiology and arrhythmias (7 papers), Cardiac Arrhythmias and Treatments (6 papers) and Ion channel regulation and function (3 papers). Seiki Nobe collaborates with scholars based in Japan and China. Seiki Nobe's co-authors include Masahiro Aomine, Mikiko Nakagawa, Hidetoshi Yonemochi, Tetsunori Saikawa, Masashi Ichinose, Makoto Arita, Naohiko Takahashi, Masahide Hara, Tatsuhiko Ooie and Sakuji Shigematsu and has published in prestigious journals such as Diabetes, Cardiovascular Research and Life Sciences.

In The Last Decade

Seiki Nobe

14 papers receiving 318 citations

Author Peers

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

Author Last Decade Papers Cites
Seiki Nobe 311 96 34 25 17 14 336
Hirofumi Mitsuyama 273 0.9× 74 0.8× 40 1.2× 10 0.4× 14 0.8× 28 338
Donald R. Allan 183 0.6× 109 1.1× 51 1.5× 35 1.4× 10 0.6× 15 369
Russell E. Hillsley 312 1.0× 82 0.9× 24 0.7× 59 2.4× 6 0.4× 11 397
J Mĕlka 216 0.7× 81 0.8× 37 1.1× 9 0.4× 9 0.5× 16 295
Andrew Ramadeen 208 0.7× 70 0.7× 25 0.7× 12 0.5× 26 1.5× 24 370
Osamu Kida 305 1.0× 87 0.9× 35 1.0× 27 1.1× 6 0.4× 23 382
John Gomes 199 0.6× 117 1.2× 26 0.8× 44 1.8× 6 0.4× 10 334
Leonardo Tocchini 165 0.5× 80 0.8× 108 3.2× 10 0.4× 7 0.4× 16 330
Charles M. Pearman 311 1.0× 129 1.3× 39 1.1× 30 1.2× 6 0.4× 25 398
A. H. Maass 283 0.9× 38 0.4× 17 0.5× 12 0.5× 9 0.5× 10 330

Countries citing papers authored by Seiki Nobe

Since Specialization
Citations

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

Fields of papers citing papers by Seiki Nobe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiki Nobe

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