Kazuo Mabuchi

44 total papers · 1.5k total citations
26 papers, 1.1k citations indexed

About

Kazuo Mabuchi is a scholar working on Global and Planetary Change, Atmospheric Science and Genetics. According to data from OpenAlex, Kazuo Mabuchi has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 12 papers in Atmospheric Science and 7 papers in Genetics. Recurrent topics in Kazuo Mabuchi's work include Climate variability and models (13 papers), Atmospheric and Environmental Gas Dynamics (11 papers) and Meteorological Phenomena and Simulations (7 papers). Kazuo Mabuchi is often cited by papers focused on Climate variability and models (13 papers), Atmospheric and Environmental Gas Dynamics (11 papers) and Meteorological Phenomena and Simulations (7 papers). Kazuo Mabuchi collaborates with scholars based in Japan, Russia and China. Kazuo Mabuchi's co-authors include Mutsumi Nishida, Masaki Miya, Hirohiko Takeshima, Tsukasa Fukunaga, Y. Maeda, Tetsuya Sado, Takashi Satoh, Keisuke Yamada, Wataru Iwasaki and Yasuo Satô and has published in prestigious journals such as Journal of Climate, Molecular Ecology and Molecular Biology and Evolution.

In The Last Decade

Kazuo Mabuchi

25 papers receiving 1.1k citations

Hit Papers

MitoFish and MitoAnnotato... 2013 2026 2017 2021 2013 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Kazuo Mabuchi 642 380 262 249 246 26 1.1k
Svein‐Erik Fevolden 265 0.4× 457 1.2× 372 1.4× 350 1.4× 459 1.9× 33 1.0k
David C. Hardie 424 0.7× 454 1.2× 294 1.1× 370 1.5× 637 2.6× 31 1.4k
Rosa Cal 139 0.2× 182 0.5× 340 1.3× 281 1.1× 379 1.5× 44 1.3k
Qiongying Tang 329 0.5× 298 0.8× 367 1.4× 359 1.4× 239 1.0× 70 1.1k
William D. Templin 331 0.5× 783 2.1× 227 0.9× 359 1.4× 871 3.5× 44 1.2k
Dekui He 195 0.3× 622 1.6× 161 0.6× 380 1.5× 256 1.0× 74 1.0k
Ingrid Spies 351 0.5× 495 1.3× 419 1.6× 382 1.5× 522 2.1× 56 1.2k
J. Andrés López 428 0.7× 875 2.3× 163 0.6× 394 1.6× 358 1.5× 59 1.4k
John R. Candy 248 0.4× 1.2k 3.1× 479 1.8× 589 2.4× 720 2.9× 47 1.5k
John Gilbey 236 0.4× 592 1.6× 204 0.8× 307 1.2× 738 3.0× 39 1.2k

Countries citing papers authored by Kazuo Mabuchi

Since Specialization
Citations

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

Fields of papers citing papers by Kazuo Mabuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuo Mabuchi

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