Sakae Suzuki

79 total papers · 1.3k total citations
57 papers, 1.0k citations indexed

About

Sakae Suzuki is a scholar working on Plant Science, Molecular Biology and Epidemiology. According to data from OpenAlex, Sakae Suzuki has authored 57 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 26 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Sakae Suzuki's work include Plant tissue culture and regeneration (18 papers), Transgenic Plants and Applications (5 papers) and Plant Physiology and Cultivation Studies (5 papers). Sakae Suzuki is often cited by papers focused on Plant tissue culture and regeneration (18 papers), Transgenic Plants and Applications (5 papers) and Plant Physiology and Cultivation Studies (5 papers). Sakae Suzuki collaborates with scholars based in Japan, Indonesia and Thailand. Sakae Suzuki's co-authors include Masaru Nakano, Shin Isomura, Masaru Nakano, Yoh Dobashi, Shinichiro Koyama, Chihiro Miwa, Yasutaka Watanabe, Michinari Hamaguchi, Tetsuya Yoshida and Yoshiyuki Nagai and has published in prestigious journals such as The Journal of Cell Biology, The Journal of Infectious Diseases and Virology.

In The Last Decade

Sakae Suzuki

55 papers receiving 963 citations

Author Peers

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

Author Last Decade Papers Cites
Sakae Suzuki 613 406 176 108 106 57 1.0k
Hisashi Yoshida 402 0.7× 355 0.9× 253 1.4× 63 0.6× 69 0.7× 75 1.1k
Youngmin Park 505 0.8× 627 1.5× 57 0.3× 28 0.3× 71 0.7× 41 1.2k
Xueming Tang 693 1.1× 295 0.7× 33 0.2× 49 0.5× 89 0.8× 56 1.1k
Ming Sun 698 1.1× 419 1.0× 101 0.6× 34 0.3× 137 1.3× 65 1.2k
Chao Geng 381 0.6× 507 1.2× 111 0.6× 52 0.5× 67 0.6× 62 1.1k
Carole Pichereaux 590 1.0× 394 1.0× 62 0.4× 93 0.9× 48 0.5× 44 1.1k
Zheng Luo 493 0.8× 141 0.3× 188 1.1× 166 1.5× 95 0.9× 49 1.1k
Wen‐Ling Shih 568 0.9× 94 0.2× 334 1.9× 71 0.7× 206 1.9× 63 1.2k
Carlos E. Salas 706 1.2× 319 0.8× 71 0.4× 29 0.3× 82 0.8× 67 1.2k
Maria Célia Bertolini 608 1.0× 309 0.8× 86 0.5× 95 0.9× 47 0.4× 65 1.0k

Countries citing papers authored by Sakae Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Sakae Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakae Suzuki

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