Masayoshi Kukida

73 total papers · 658 total citations
29 papers, 466 citations indexed

About

Masayoshi Kukida is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Masayoshi Kukida has authored 29 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Cardiology and Cardiovascular Medicine and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Masayoshi Kukida's work include Renin-Angiotensin System Studies (5 papers), Receptor Mechanisms and Signaling (4 papers) and Hormonal Regulation and Hypertension (4 papers). Masayoshi Kukida is often cited by papers focused on Renin-Angiotensin System Studies (5 papers), Receptor Mechanisms and Signaling (4 papers) and Hormonal Regulation and Hypertension (4 papers). Masayoshi Kukida collaborates with scholars based in Japan, United States and India. Masayoshi Kukida's co-authors include Jun Iwanami, Masatsugu Horiuchi, Hui‐Yu Bai, Harumi Kan‐no, Bao‐Shuai Shan, Masaki Mogi, Kana Tsukuda, Jitsuo Higaki, Hirotomo Nakaoka and Takafumi Okura and has published in prestigious journals such as PLoS ONE, Scientific Reports and Kidney International.

In The Last Decade

Masayoshi Kukida

29 papers receiving 462 citations

Author Peers

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

Author						Papers	Cites
Masayoshi Kukida	145	111	86	72	66	29	466
Emanuel Fritschka	113 0.8×	75 0.7×	51 0.6×	67 0.9×	44 0.7×	54	511
A Béhar	86 0.6×	94 0.8×	89 1.0×	60 0.8×	84 1.3×	37	475
Hisako Fushimi	67 0.5×	84 0.8×	137 1.6×	43 0.6×	119 1.8×	33	532
Tamer İnal	68 0.5×	70 0.6×	149 1.7×	33 0.5×	50 0.8×	31	519
Kazuhiro Hongyo	117 0.8×	138 1.2×	130 1.5×	59 0.8×	69 1.0×	18	472
Chen Su	135 0.9×	180 1.6×	58 0.7×	88 1.2×	34 0.5×	46	530
Murat Olukman	96 0.7×	81 0.7×	98 1.1×	22 0.3×	54 0.8×	27	447
Samsul Arefin	61 0.4×	125 1.1×	73 0.8×	48 0.7×	65 1.0×	23	512
Nevbahar Turgan	70 0.5×	83 0.7×	86 1.0×	45 0.6×	69 1.0×	26	499
Cédric Gaxatte	65 0.4×	56 0.5×	64 0.7×	32 0.4×	91 1.4×	25	484

Countries citing papers authored by Masayoshi Kukida

Since Specialization

Citations

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

Fields of papers citing papers by Masayoshi Kukida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayoshi Kukida

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