Tetsuo Shiba

404 total papers · 9.1k total citations
280 papers, 7.3k citations indexed

About

Tetsuo Shiba is a scholar working on Molecular Biology, Organic Chemistry and Immunology. According to data from OpenAlex, Tetsuo Shiba has authored 280 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 158 papers in Molecular Biology, 91 papers in Organic Chemistry and 37 papers in Immunology. Recurrent topics in Tetsuo Shiba's work include Carbohydrate Chemistry and Synthesis (54 papers), Chemical Synthesis and Analysis (53 papers) and Microbial Natural Products and Biosynthesis (27 papers). Tetsuo Shiba is often cited by papers focused on Carbohydrate Chemistry and Synthesis (54 papers), Chemical Synthesis and Analysis (53 papers) and Microbial Natural Products and Biosynthesis (27 papers). Tetsuo Shiba collaborates with scholars based in Japan, United States and Germany. Tetsuo Shiba's co-authors include Shoichi Kusumoto, Masahiro Imoto, Tateaki Wakamiya, S. Kusumoto, Hiroyuki Yoshimura, Tadashi Teshima, Takeo Kaneko, O. Lüderitz, Chris Galanos and S Kotani and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Tetsuo Shiba

273 papers receiving 6.7k citations

Author Peers

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

Author Last Decade Papers Cites
Tetsuo Shiba 4.1k 2.3k 2.1k 841 586 280 7.3k
E. Lederer 3.9k 1.0× 1.9k 0.8× 1.4k 0.7× 812 1.0× 505 0.9× 264 8.8k
Avadhesha Surolia 7.6k 1.9× 2.4k 1.0× 3.3k 1.6× 471 0.6× 437 0.7× 366 11.0k
Roman Jerala 5.3k 1.3× 2.6k 1.1× 570 0.3× 1.2k 1.5× 244 0.4× 247 9.4k
Willy J. Peumans 9.0k 2.2× 4.5k 1.9× 2.6k 1.2× 376 0.4× 252 0.4× 265 13.4k
K. Ravi Acharya 7.1k 1.7× 1.9k 0.8× 1.1k 0.5× 294 0.3× 323 0.6× 272 11.9k
Yasutsugu Shimonishi 5.8k 1.4× 1.3k 0.6× 746 0.4× 998 1.2× 387 0.7× 204 9.6k
Shoichi Kusumoto 4.8k 1.2× 6.3k 2.7× 2.2k 1.1× 1.8k 2.1× 324 0.6× 244 11.6k
Hideki Nakashima 2.8k 0.7× 1.6k 0.7× 1.1k 0.5× 323 0.4× 390 0.7× 214 6.9k
O. Lüderitz 5.0k 1.2× 4.6k 2.0× 2.0k 1.0× 1.3k 1.5× 389 0.7× 172 12.0k
Yong‐Tang Zheng 4.3k 1.0× 1.4k 0.6× 1.7k 0.8× 440 0.5× 708 1.2× 383 9.0k

Countries citing papers authored by Tetsuo Shiba

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Shiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tetsuo Shiba

This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuo Shiba. A scholar is included among the top collaborators of Tetsuo Shiba 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 Tetsuo Shiba. Tetsuo Shiba 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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2026