Narutoshi Kabashima

17 total papers · 459 total citations
16 papers, 386 citations indexed

About

Narutoshi Kabashima is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Narutoshi Kabashima has authored 16 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Narutoshi Kabashima's work include Ion channel regulation and function (3 papers), Neuroendocrine regulation and behavior (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Narutoshi Kabashima is often cited by papers focused on Ion channel regulation and function (3 papers), Neuroendocrine regulation and behavior (3 papers) and Cardiac electrophysiology and arrhythmias (2 papers). Narutoshi Kabashima collaborates with scholars based in Japan and United States. Narutoshi Kabashima's co-authors include Masayuki Takasugi, Kinya Hiroshige, Akio Kuroiwa, Izumi Shibuya, Hiroshi Yamashita, Ryota Serino, Yuko Hara, Yoichi Ueta, Masaki Tokunaga and Masayoshi Nomura and has published in prestigious journals such as Brain Research, Endocrinology and Kidney International.

In The Last Decade

Narutoshi Kabashima

16 papers receiving 372 citations

Author Peers

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

Author						Papers	Cites
Narutoshi Kabashima	96	93	72	66	54	16	386
Kristin Jäger	73 0.8×	9 0.1×	21 0.3×	23 0.3×	37 0.7×	16	389
Laura Sommerville	115 1.2×	28 0.3×	25 0.3×	15 0.2×	36 0.7×	16	361
R Tartaglione	45 0.5×	10 0.1×	14 0.2×	22 0.3×	80 1.5×	13	353
R. Strebel	49 0.5×	13 0.1×	20 0.3×	10 0.2×	54 1.0×	24	414
Mee‐Suk Hong	78 0.8×	16 0.2×	10 0.1×	9 0.1×	26 0.5×	14	360
H. Schw�rer	103 1.1×	40 0.4×	20 0.3×	12 0.2×	90 1.7×	14	373
Ruichao Yu	78 0.8×	27 0.3×	13 0.2×	4 0.1×	33 0.6×	16	389
Yutaka Fujiwara	120 1.3×	30 0.3×	9 0.1×	15 0.2×	60 1.1×	17	429
J. Schaller	128 1.3×	16 0.2×	27 0.4×	8 0.1×	74 1.4×	17	396
Phebe Wilson	58 0.6×	29 0.3×	115 1.6×	7 0.1×	12 0.2×	15	355

Countries citing papers authored by Narutoshi Kabashima

Since Specialization

Citations

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

Fields of papers citing papers by Narutoshi Kabashima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narutoshi Kabashima

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