Yoji Takeoka

76 total papers · 1.0k total citations
50 papers, 704 citations indexed

About

Yoji Takeoka is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Yoji Takeoka has authored 50 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Plant Science, 27 papers in Molecular Biology and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Yoji Takeoka's work include Plant tissue culture and regeneration (11 papers), Plant Reproductive Biology (9 papers) and Plant Genetic and Mutation Studies (8 papers). Yoji Takeoka is often cited by papers focused on Plant tissue culture and regeneration (11 papers), Plant Reproductive Biology (9 papers) and Plant Genetic and Mutation Studies (8 papers). Yoji Takeoka collaborates with scholars based in Japan, United States and Russia. Yoji Takeoka's co-authors include Hiroshi Miyake, Peter B. Kaufman, P. Dayanandan, Shiro Mitsuya, Tomikichi Wada, Masaharu SHIMIZU, Hidemi Kitano, Takaaki Wada, P. B. Kaufman and Al Mamun and has published in prestigious journals such as Annals of Botany, Human Genetics and Journal of Plant Physiology.

In The Last Decade

Yoji Takeoka

43 papers receiving 616 citations

Author Peers

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

Author Last Decade Papers Cites
Yoji Takeoka 615 195 67 62 37 50 704
P. Dayanandan 697 1.1× 175 0.9× 154 2.3× 111 1.8× 25 0.7× 28 881
Richard H. Falk 470 0.8× 161 0.8× 90 1.3× 40 0.6× 14 0.4× 31 667
R. C. Rowe 587 1.0× 47 0.2× 57 0.9× 48 0.8× 28 0.8× 31 656
Fumitake Kubota 724 1.2× 136 0.7× 63 0.9× 165 2.7× 25 0.7× 59 854
Ramin Lotfi 658 1.1× 120 0.6× 33 0.5× 25 0.4× 12 0.3× 29 729
Paulo Cézar Cavatte 706 1.1× 147 0.8× 80 1.2× 16 0.3× 9 0.2× 47 908
Yanhong Wang 495 0.8× 90 0.5× 68 1.0× 23 0.4× 11 0.3× 57 702
M. J. Garber 424 0.7× 81 0.4× 50 0.7× 11 0.2× 38 1.0× 66 668
Ting Zou 513 0.8× 297 1.5× 55 0.8× 8 0.1× 68 1.8× 37 732
Guoqing Yang 349 0.6× 168 0.9× 72 1.1× 10 0.2× 87 2.4× 58 651

Countries citing papers authored by Yoji Takeoka

Since Specialization
Citations

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

Fields of papers citing papers by Yoji Takeoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoji Takeoka

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