Taku Chiba

63 total papers · 828 total citations
52 papers, 676 citations indexed

About

Taku Chiba is a scholar working on Molecular Biology, Organic Chemistry and Immunology. According to data from OpenAlex, Taku Chiba has authored 52 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 19 papers in Organic Chemistry and 12 papers in Immunology. Recurrent topics in Taku Chiba's work include Carbohydrate Chemistry and Synthesis (18 papers), Glycosylation and Glycoproteins Research (11 papers) and Enzyme Production and Characterization (9 papers). Taku Chiba is often cited by papers focused on Carbohydrate Chemistry and Synthesis (18 papers), Glycosylation and Glycoproteins Research (11 papers) and Enzyme Production and Characterization (9 papers). Taku Chiba collaborates with scholars based in Japan, United States and France. Taku Chiba's co-authors include Setsuzo Tejima, Kikuo Onozaki, Pierre Sînaÿ, Takemasa Takii, Hidetoshi Hayashi, Yutaka Takei, Akito Nagatsu, Masaru Hayashi, Maurice Petitou and Jean‐Claude Jacquinet and has published in prestigious journals such as Nature, Journal of the American Chemical Society and The Journal of Immunology.

In The Last Decade

Taku Chiba

52 papers receiving 646 citations

Author Peers

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

Author Last Decade Papers Cites
Taku Chiba 365 244 132 69 57 52 676
Yonghui Liu 437 1.2× 105 0.4× 111 0.8× 129 1.9× 37 0.6× 43 733
Xiaohong Qin 374 1.0× 85 0.3× 88 0.7× 92 1.3× 45 0.8× 25 765
Huma Naz 366 1.0× 67 0.3× 91 0.7× 43 0.6× 44 0.8× 50 774
Sijin Wu 479 1.3× 91 0.4× 151 1.1× 46 0.7× 25 0.4× 51 757
Tahl Zimmerman 305 0.8× 81 0.3× 73 0.6× 45 0.7× 39 0.7× 35 714
V. Roig-Zamboni 417 1.1× 171 0.7× 62 0.5× 73 1.1× 56 1.0× 22 711
Lucia S. Yoshida 235 0.6× 106 0.4× 257 1.9× 74 1.1× 39 0.7× 26 674
Morteza Ghandadi 329 0.9× 187 0.8× 61 0.5× 66 1.0× 16 0.3× 30 756
Jung-Keun Suh 255 0.7× 53 0.2× 106 0.8× 39 0.6× 59 1.0× 35 687
A. I. Mallet 188 0.5× 66 0.3× 198 1.5× 32 0.5× 33 0.6× 31 643

Countries citing papers authored by Taku Chiba

Since Specialization
Citations

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

Fields of papers citing papers by Taku Chiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taku Chiba

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