Genkichi Takeda

59 total papers · 522 total citations
41 papers, 437 citations indexed

About

Genkichi Takeda is a scholar working on Plant Science, Biotechnology and Molecular Biology. According to data from OpenAlex, Genkichi Takeda has authored 41 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Plant Science, 16 papers in Biotechnology and 15 papers in Molecular Biology. Recurrent topics in Genkichi Takeda's work include Plant tissue culture and regeneration (10 papers), Transgenic Plants and Applications (8 papers) and Enzyme Production and Characterization (8 papers). Genkichi Takeda is often cited by papers focused on Plant tissue culture and regeneration (10 papers), Transgenic Plants and Applications (8 papers) and Enzyme Production and Characterization (8 papers). Genkichi Takeda collaborates with scholars based in Japan and South Korea. Genkichi Takeda's co-authors include Kaoru Yoshida, Satoshi Naito, Hideo Matsumura, Tetsuo Takano, Tetsuji Kuboyama, Tsutomu Kuboyama, H. Uchimiya, Junichiro Yamaguchi, Yasuo Nagato and Norihiko Sugimoto and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Theoretical and Applied Genetics and Plant and Cell Physiology.

In The Last Decade

Genkichi Takeda

38 papers receiving 388 citations

Author Peers

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

Author Last Decade Papers Cites
Genkichi Takeda 371 205 52 37 31 41 437
Jennifer J. Randall 298 0.8× 127 0.6× 30 0.6× 33 0.9× 24 0.8× 54 385
A. Bozzini 336 0.9× 164 0.8× 41 0.8× 64 1.7× 62 2.0× 37 459
Chen Deng 328 0.9× 172 0.8× 21 0.4× 11 0.3× 19 0.6× 26 410
Ardashir Kharabian Masouleh 372 1.0× 181 0.9× 24 0.5× 24 0.6× 79 2.5× 41 472
Piwu Wang 339 0.9× 208 1.0× 25 0.5× 10 0.3× 18 0.6× 38 434
Takeo Sasahara 365 1.0× 177 0.9× 27 0.5× 39 1.1× 64 2.1× 57 453
Kefeng Fang 316 0.9× 256 1.2× 11 0.2× 37 1.0× 45 1.5× 37 427
Shuo Zhang 184 0.5× 242 1.2× 15 0.3× 41 1.1× 14 0.5× 29 399
Kongshu Ji 269 0.7× 337 1.6× 31 0.6× 37 1.0× 13 0.4× 55 483
J. Nanjundan 297 0.8× 227 1.1× 18 0.3× 20 0.5× 6 0.2× 31 377

Countries citing papers authored by Genkichi Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Genkichi Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Genkichi Takeda

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