Gaku Kudo

172 total papers · 7.8k total citations
147 papers, 4.4k citations indexed

About

Gaku Kudo is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Plant Science. According to data from OpenAlex, Gaku Kudo has authored 147 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Ecology, Evolution, Behavior and Systematics, 81 papers in Nature and Landscape Conservation and 76 papers in Plant Science. Recurrent topics in Gaku Kudo's work include Plant and animal studies (93 papers), Ecology and Vegetation Dynamics Studies (78 papers) and Plant Parasitism and Resistance (42 papers). Gaku Kudo is often cited by papers focused on Plant and animal studies (93 papers), Ecology and Vegetation Dynamics Studies (78 papers) and Plant Parasitism and Resistance (42 papers). Gaku Kudo collaborates with scholars based in Japan, Canada and Sweden. Gaku Kudo's co-authors include Takashi Y. Ida, Akira S. Hirao, Shizuo Suzuki, Lawrence D. Harder, Ulf Molau, Yoshiaki Kameyama, Yuka Kawai, Elisabeth J. Cooper, Yoshiko Shimono and Yoko Nishikawa and has published in prestigious journals such as Nature, Ecology and Global Change Biology.

In The Last Decade

Gaku Kudo

144 papers receiving 4.2k citations

Hit Papers

Early onset of spring inc... 2013 2026 2017 2021 2013 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Gaku Kudo 2.8k 2.1k 2.0k 731 629 147 4.4k
Ørjan Totland 3.7k 1.3× 3.1k 1.5× 2.9k 1.4× 675 0.9× 630 1.0× 103 5.3k
Pierre Quézel 1.8k 0.7× 1.1k 0.5× 2.6k 1.3× 478 0.7× 577 0.9× 122 4.6k
Frédéric Mèdail 2.6k 0.9× 2.3k 1.1× 3.0k 1.5× 1.1k 1.5× 669 1.1× 132 6.4k
Jürg Stöcklin 2.1k 0.8× 2.2k 1.1× 2.0k 1.0× 584 0.8× 534 0.8× 110 4.0k
Jiří Danihelka 1.9k 0.7× 1.9k 0.9× 2.0k 1.0× 419 0.6× 522 0.8× 122 3.9k
Juan Arroyo 2.9k 1.0× 2.2k 1.0× 2.4k 1.2× 633 0.9× 456 0.7× 145 4.9k
Isabell Hensen 1.7k 0.6× 2.2k 1.1× 1.4k 0.7× 571 0.8× 778 1.2× 197 4.0k
Stephen P. Bonser 1.7k 0.6× 2.3k 1.1× 1.7k 0.9× 573 0.8× 1.1k 1.7× 94 4.6k
Mary T. K. Arroyo 4.7k 1.7× 2.9k 1.4× 3.0k 1.5× 698 1.0× 865 1.4× 147 7.2k
Ernesto Gianoli 3.3k 1.2× 3.1k 1.5× 2.7k 1.3× 1.0k 1.4× 1.3k 2.0× 179 6.6k

Countries citing papers authored by Gaku Kudo

Since Specialization
Citations

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

Fields of papers citing papers by Gaku Kudo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaku Kudo

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