Miyuki Kuno

96 total papers · 2.3k total citations
59 papers, 2.0k citations indexed

About

Miyuki Kuno is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Miyuki Kuno has authored 59 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 28 papers in Cellular and Molecular Neuroscience and 11 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Miyuki Kuno's work include Ion channel regulation and function (35 papers), Neuroscience and Neuropharmacology Research (20 papers) and Cardiac electrophysiology and arrhythmias (10 papers). Miyuki Kuno is often cited by papers focused on Ion channel regulation and function (35 papers), Neuroscience and Neuropharmacology Research (20 papers) and Cardiac electrophysiology and arrhythmias (10 papers). Miyuki Kuno collaborates with scholars based in Japan, United States and United Kingdom. Miyuki Kuno's co-authors include Phyllis Gardner, Fusao Nakamura, Junko Kawawaki, Jörg J. Goronzy, Cornelia M. Weyand, Kohei Takahashi, Yoshiko Fukuda, Hiroshi Narita, Shinji Minami and Yoshihiko Furuta and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Miyuki Kuno

59 papers receiving 1.9k citations

Hit Papers

Ion channels activated by... 1987 2026 2000 2013 1987 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Miyuki Kuno 1.1k 599 293 246 228 59 2.0k
Karthik Mallilankaraman 2.0k 1.7× 392 0.7× 328 1.1× 370 1.5× 320 1.4× 41 3.0k
Wanhong Liu 1.1k 1.0× 394 0.7× 193 0.7× 124 0.5× 187 0.8× 91 2.2k
Lian He 1.3k 1.1× 666 1.1× 441 1.5× 264 1.1× 250 1.1× 83 2.4k
Sylvain Féliciangéli 1.3k 1.2× 430 0.7× 170 0.6× 156 0.6× 216 0.9× 27 1.9k
Alice Chu 1.7k 1.5× 574 1.0× 245 0.8× 250 1.0× 544 2.4× 56 3.1k
Lauren J MacKenzie 1.2k 1.1× 499 0.8× 84 0.3× 369 1.5× 128 0.6× 27 2.0k
John J. Mackrill 1.3k 1.1× 245 0.4× 157 0.5× 104 0.4× 92 0.4× 65 2.2k
Hailan Yao 1.0k 0.9× 233 0.4× 175 0.6× 294 1.2× 123 0.5× 49 1.9k
Aldebaran M. Hofer 2.4k 2.1× 667 1.1× 313 1.1× 405 1.6× 162 0.7× 44 3.3k
Yun‐Min Zheng 1.1k 1.0× 244 0.4× 423 1.4× 271 1.1× 344 1.5× 63 2.8k

Countries citing papers authored by Miyuki Kuno

Since Specialization
Citations

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

Fields of papers citing papers by Miyuki Kuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miyuki Kuno

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