Kazuki Matsubara

105 total papers · 3.3k total citations
73 papers, 2.6k citations indexed

About

Kazuki Matsubara is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Kazuki Matsubara has authored 73 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Plant Science, 32 papers in Genetics and 17 papers in Molecular Biology. Recurrent topics in Kazuki Matsubara's work include Genetic Mapping and Diversity in Plants and Animals (31 papers), Rice Cultivation and Yield Improvement (19 papers) and Plant Molecular Biology Research (11 papers). Kazuki Matsubara is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (31 papers), Rice Cultivation and Yield Improvement (19 papers) and Plant Molecular Biology Research (11 papers). Kazuki Matsubara collaborates with scholars based in Japan, China and Thailand. Kazuki Matsubara's co-authors include Masahiro Yano, Kiyosumi Hori, Utako Yamanouchi, Masayoshi Watanabe, Yukikazu Takeoka, Eri Ogiso‐Tanaka, Kaworu Ebana, Y. Minobe, Zixuan Wang and Yasunori Nonoue and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Kazuki Matsubara

73 papers receiving 2.6k citations

Author Peers

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

Author Last Decade Papers Cites
Kazuki Matsubara 1.7k 1.1k 742 214 203 73 2.6k
Álvaro Ortega 405 0.2× 515 0.4× 1.6k 2.1× 289 1.4× 388 1.9× 66 2.7k
Geoffrey R. Moore 643 0.4× 1.4k 1.2× 3.3k 4.5× 121 0.6× 751 3.7× 119 5.1k
Zhiguo Liu 901 0.5× 296 0.3× 1.1k 1.5× 181 0.8× 403 2.0× 160 3.0k
D. Hornby 1.5k 0.9× 273 0.2× 1.4k 1.9× 90 0.4× 235 1.2× 140 3.5k
Tetsuo Oikawa 1.4k 0.9× 489 0.4× 875 1.2× 267 1.2× 1.1k 5.4× 115 3.8k
Danfeng Lu 528 0.3× 281 0.2× 783 1.1× 303 1.4× 139 0.7× 100 2.0k
Asuka Miura 1.9k 1.2× 344 0.3× 1.4k 2.0× 61 0.3× 442 2.2× 43 3.1k
P. Franke 945 0.6× 327 0.3× 2.1k 2.8× 177 0.8× 462 2.3× 142 4.6k
Katrina T. Forest 1.2k 0.7× 1.1k 0.9× 3.5k 4.7× 182 0.9× 346 1.7× 88 5.1k
Jiayan Wu 575 0.3× 353 0.3× 2.0k 2.7× 162 0.8× 165 0.8× 119 3.4k

Countries citing papers authored by Kazuki Matsubara

Since Specialization
Citations

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

Fields of papers citing papers by Kazuki Matsubara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuki Matsubara

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