Hiromitsu Matsui

33 total papers · 1.2k total citations
21 papers, 1.0k citations indexed

About

Hiromitsu Matsui is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Hiromitsu Matsui has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Hiromitsu Matsui's work include Hormonal Regulation and Hypertension (10 papers), Neuropeptides and Animal Physiology (6 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers). Hiromitsu Matsui is often cited by papers focused on Hormonal Regulation and Hypertension (10 papers), Neuropeptides and Animal Physiology (6 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (6 papers). Hiromitsu Matsui collaborates with scholars based in Japan, Canada and Spain. Hiromitsu Matsui's co-authors include Toshiro Fujita, Katsuyuki Ando, Tatsuo Shimosawa, Megumi Fujita, Miki Nagase, Hiroo Kawarazaki, Sayoko Ogura, Shigeru Shibata, Takanari Gotoda and Tomoyo Kaneko and has published in prestigious journals such as Circulation, Endocrinology and Hypertension.

In The Last Decade

Hiromitsu Matsui

19 papers receiving 983 citations

Author Peers

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

Author Last Decade Papers Cites
Hiromitsu Matsui 342 292 277 198 192 21 1.0k
Wasaku Koyama 250 0.7× 256 0.9× 230 0.8× 435 2.2× 139 0.7× 26 1.1k
Roberto Palacios 209 0.6× 272 0.9× 147 0.5× 219 1.1× 122 0.6× 33 1.0k
Mala T. Kailasam 317 0.9× 367 1.3× 368 1.3× 225 1.1× 81 0.4× 22 1.1k
Steffen Daub 179 0.5× 256 0.9× 198 0.7× 282 1.4× 106 0.6× 21 948
Megan S. Johnson 334 1.0× 153 0.5× 299 1.1× 255 1.3× 67 0.3× 22 885
R D Buñag 239 0.7× 255 0.9× 372 1.3× 353 1.8× 123 0.6× 24 1.1k
Giora Davidai 292 0.9× 187 0.6× 487 1.8× 87 0.4× 105 0.5× 35 1.1k
Joo Yun Jun 153 0.4× 230 0.8× 385 1.4× 138 0.7× 137 0.7× 15 946
Masudul Haque 127 0.4× 309 1.1× 337 1.2× 237 1.2× 142 0.7× 25 1.2k
Johanna Helmstädter 240 0.7× 292 1.0× 166 0.6× 163 0.8× 70 0.4× 13 1.1k

Countries citing papers authored by Hiromitsu Matsui

Since Specialization
Citations

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

Fields of papers citing papers by Hiromitsu Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiromitsu Matsui

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