Akihiko Sunami

39 total papers · 883 total citations
27 papers, 712 citations indexed

About

Akihiko Sunami is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Akihiko Sunami has authored 27 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 21 papers in Cellular and Molecular Neuroscience and 15 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Akihiko Sunami's work include Ion channel regulation and function (19 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Neuroscience and Neuropharmacology Research (13 papers). Akihiko Sunami is often cited by papers focused on Ion channel regulation and function (19 papers), Cardiac electrophysiology and arrhythmias (15 papers) and Neuroscience and Neuropharmacology Research (13 papers). Akihiko Sunami collaborates with scholars based in Japan, United States and Germany. Akihiko Sunami's co-authors include Harry A. Fozzard, Ian W. Glaaser, Masayasu Hiraoka, Samuel C. Dudley, Tohru Sawanobori, Chang‐Xi Bai, Naomasa Makita, Zheng Fan, Kenjí Tasaka and Chiaki Kamei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Clinical Investigation.

In The Last Decade

Akihiko Sunami

27 papers receiving 688 citations

Author Peers

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

Author Last Decade Papers Cites
Akihiko Sunami 572 373 259 58 47 27 712
Ruth L. Martin 692 1.2× 488 1.3× 255 1.0× 40 0.7× 28 0.6× 31 880
Hiromichi Nakajima 376 0.7× 247 0.7× 168 0.6× 70 1.2× 19 0.4× 42 790
Xaver Koenig 498 0.9× 256 0.7× 369 1.4× 33 0.6× 30 0.6× 53 817
R Bayer 485 0.8× 476 1.3× 283 1.1× 34 0.6× 20 0.4× 37 884
Haibo Yu 582 1.0× 326 0.9× 238 0.9× 52 0.9× 11 0.2× 56 863
Xueqin Jin 547 1.0× 146 0.4× 215 0.8× 45 0.8× 23 0.5× 32 752
T Nagao 391 0.7× 154 0.4× 235 0.9× 26 0.4× 25 0.5× 38 716
Kwok‐Keung Tai 493 0.9× 318 0.9× 348 1.3× 25 0.4× 16 0.3× 26 767
Eric A. Ertel 621 1.1× 287 0.8× 313 1.2× 51 0.9× 20 0.4× 29 904
Peter J. Gengo 571 1.0× 283 0.8× 338 1.3× 38 0.7× 16 0.3× 23 833

Countries citing papers authored by Akihiko Sunami

Since Specialization
Citations

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

Fields of papers citing papers by Akihiko Sunami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiko Sunami

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