Kazumi Higuchi

25 total papers · 538 total citations
23 papers, 450 citations indexed

About

Kazumi Higuchi is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Kazumi Higuchi has authored 23 papers receiving a total of 450 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 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Kazumi Higuchi's work include Hormonal Regulation and Hypertension (9 papers), Heart Failure Treatment and Management (4 papers) and Stress Responses and Cortisol (3 papers). Kazumi Higuchi is often cited by papers focused on Hormonal Regulation and Hypertension (9 papers), Heart Failure Treatment and Management (4 papers) and Stress Responses and Cortisol (3 papers). Kazumi Higuchi collaborates with scholars based in Japan and United States. Kazumi Higuchi's co-authors include Hajime Nawata, Hiroshi Ibayashi, Kenichi Kato, Hisayuki Matsuo, Tadashi Inagami, Toshio Maki, Shigeo Nakajo, Tetsuo Murakami, Toshihiko Yanase and Masao Ōhashi and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Kazumi Higuchi

22 papers receiving 434 citations

Author Peers

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

Author Last Decade Papers Cites
Kazumi Higuchi 246 158 109 51 48 23 450
Dominique Langlois 218 0.9× 79 0.5× 240 2.2× 35 0.7× 51 1.1× 26 512
Binhai Cong 77 0.3× 69 0.4× 154 1.4× 64 1.3× 26 0.5× 23 470
Stefanie Ruhs 222 0.9× 73 0.5× 235 2.2× 39 0.8× 15 0.3× 23 469
Elizabeth K. Fletcher 199 0.8× 98 0.6× 121 1.1× 19 0.4× 21 0.4× 15 446
Marohito Murakami 147 0.6× 171 1.1× 127 1.2× 13 0.3× 44 0.9× 27 442
Takuya Kanehisa 116 0.5× 238 1.5× 60 0.6× 23 0.5× 72 1.5× 32 550
Tadao Yasugi 143 0.6× 105 0.7× 76 0.7× 15 0.3× 36 0.8× 31 551
A. J. L. Clark 165 0.7× 55 0.3× 170 1.6× 25 0.5× 37 0.8× 18 408
Yoshiko Nakagomi 124 0.5× 150 0.9× 311 2.9× 13 0.3× 97 2.0× 22 520
I Bachelot 318 1.3× 65 0.4× 92 0.8× 12 0.2× 30 0.6× 19 524

Countries citing papers authored by Kazumi Higuchi

Since Specialization
Citations

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

Fields of papers citing papers by Kazumi Higuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazumi Higuchi

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