Kojiro Takeda

27 total papers · 650 total citations
19 papers, 524 citations indexed

About

Kojiro Takeda is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Kojiro Takeda has authored 19 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Plant Science. Recurrent topics in Kojiro Takeda's work include Fungal and yeast genetics research (8 papers), Ubiquitin and proteasome pathways (5 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Kojiro Takeda is often cited by papers focused on Fungal and yeast genetics research (8 papers), Ubiquitin and proteasome pathways (5 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Kojiro Takeda collaborates with scholars based in Japan, France and United States. Kojiro Takeda's co-authors include Mitsuhiro Yanagida, Tomoko Yoshida, Takahiro Nakamura, Takeshi Hayashi, Alejandro Villar‐Briones, Wei Liu, Masashi Kato, Ichiro Nakashima, Hitoshi Suzuki and Masataka Itoigawa and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Kojiro Takeda

19 papers receiving 522 citations

Author Peers

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

Author Last Decade Papers Cites
Kojiro Takeda 449 151 69 67 38 19 524
Raffaele Nicastro 442 1.0× 109 0.7× 97 1.4× 41 0.6× 21 0.6× 22 541
Alice Zuin 444 1.0× 88 0.6× 66 1.0× 46 0.7× 103 2.7× 13 514
Edith Bogengruber 442 1.0× 80 0.5× 83 1.2× 36 0.5× 50 1.3× 14 519
Aneta Kaniak 547 1.2× 75 0.5× 53 0.8× 35 0.5× 16 0.4× 20 591
Vanessa Palermo 491 1.1× 67 0.4× 63 0.9× 42 0.6× 56 1.5× 22 578
Huifang Hu 317 0.7× 80 0.5× 88 1.3× 36 0.5× 38 1.0× 30 596
Michael S. Donoviel 487 1.1× 151 1.0× 39 0.6× 26 0.4× 15 0.4× 11 553
Manoël Prouteau 498 1.1× 132 0.9× 51 0.7× 38 0.6× 26 0.7× 13 578
Gisèle Velours 417 0.9× 60 0.4× 57 0.8× 101 1.5× 20 0.5× 17 497
Kentaro Ohkuni 526 1.2× 119 0.8× 192 2.8× 24 0.4× 32 0.8× 28 560

Countries citing papers authored by Kojiro Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Kojiro Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kojiro Takeda

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