Kazutoshi Murakami

130 total papers · 2.2k total citations
73 papers, 1.7k citations indexed

About

Kazutoshi Murakami is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience. According to data from OpenAlex, Kazutoshi Murakami has authored 73 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Endocrinology, Diabetes and Metabolism and 14 papers in Behavioral Neuroscience. Recurrent topics in Kazutoshi Murakami's work include Stress Responses and Cortisol (14 papers), Neuroendocrine regulation and behavior (8 papers) and Hormonal Regulation and Hypertension (6 papers). Kazutoshi Murakami is often cited by papers focused on Stress Responses and Cortisol (14 papers), Neuroendocrine regulation and behavior (8 papers) and Hormonal Regulation and Hypertension (6 papers). Kazutoshi Murakami collaborates with scholars based in Japan, United States and China. Kazutoshi Murakami's co-authors include Kozo Hashimoto, Jun Wada, Zensuke Ota, Atsuko Nakatsuka, Hirofumi Makino, Jun Eguchi, Sanae Teshigawara, William F. Ganong, Akihiro Katayama and Motoko Kanzaki and has published in prestigious journals such as Circulation, Nature Communications and PLoS ONE.

In The Last Decade

Kazutoshi Murakami

70 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Kazutoshi Murakami 501 324 315 309 282 73 1.7k
Aldona Kasprzak 656 1.3× 362 1.1× 356 1.1× 118 0.4× 193 0.7× 106 1.8k
Shuichi Sato 1.3k 2.6× 318 1.0× 292 0.9× 261 0.8× 961 3.4× 39 2.3k
Cong Lin 690 1.4× 157 0.5× 193 0.6× 63 0.2× 236 0.8× 58 1.5k
Sylvie Durant 404 0.8× 176 0.5× 264 0.8× 92 0.3× 327 1.2× 46 1.4k
Naoki Hiroi 297 0.6× 131 0.4× 645 2.0× 281 0.9× 165 0.6× 64 1.8k
Giacomo Pozzoli 567 1.1× 73 0.2× 242 0.8× 431 1.4× 216 0.8× 57 1.8k
Krzysztof Łabuzek 581 1.2× 259 0.8× 315 1.0× 84 0.3× 282 1.0× 70 1.7k
Tsuyoshi Monden 754 1.5× 358 1.1× 785 2.5× 46 0.1× 462 1.6× 55 2.3k
Timothy C. R. Prickett 328 0.7× 130 0.4× 219 0.7× 127 0.4× 181 0.6× 100 2.0k
Masuo Akahane 412 0.8× 296 0.9× 150 0.5× 37 0.1× 310 1.1× 60 1.5k

Countries citing papers authored by Kazutoshi Murakami

Since Specialization
Citations

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

Fields of papers citing papers by Kazutoshi Murakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazutoshi Murakami

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