Shiro Bannai

137 total papers · 13.0k total citations
118 papers, 11.0k citations indexed

About

Shiro Bannai is a scholar working on Biochemistry, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Shiro Bannai has authored 118 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Biochemistry, 53 papers in Molecular Biology and 36 papers in Pathology and Forensic Medicine. Recurrent topics in Shiro Bannai's work include Amino Acid Enzymes and Metabolism (46 papers), Biomedical Research and Pathophysiology (32 papers) and Sulfur Compounds in Biology (25 papers). Shiro Bannai is often cited by papers focused on Amino Acid Enzymes and Metabolism (46 papers), Biomedical Research and Pathophysiology (32 papers) and Sulfur Compounds in Biology (25 papers). Shiro Bannai collaborates with scholars based in Japan, Germany and United Kingdom. Shiro Bannai's co-authors include Tetsuro Ishii, Hideyo Sato, Michiko Tamba, Ken Itoh, Jun‐ichi Sagara, Toru Yanagawa, Masayuki Yamamoto, Kenji Miura, Satoru Takahashi and Noriko Tateishi and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Shiro Bannai

118 papers receiving 10.8k citations

Hit Papers

Transcription Factor Nrf2... 1980 2026 1995 2010 2000 1999 1986 1980 2018 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Shiro Bannai 5.9k 3.5k 1.7k 1.6k 1.4k 118 11.0k
Hideyo Sato 4.6k 0.8× 1.8k 0.5× 1.8k 1.1× 1.6k 1.0× 899 0.6× 99 8.0k
Fumitaka Ushikubi 4.5k 0.8× 2.3k 0.7× 777 0.5× 818 0.5× 1.5k 1.1× 125 13.4k
José C. Fernández‐Checa 7.4k 1.2× 2.4k 0.7× 723 0.4× 1.2k 0.8× 409 0.3× 190 15.0k
Manuel Palacı́n 10.7k 1.8× 5.8k 1.6× 615 0.4× 916 0.6× 1.3k 0.9× 255 17.1k
Ichiro Kudo 6.9k 1.2× 1.5k 0.4× 449 0.3× 1.5k 1.0× 637 0.4× 206 13.1k
Barry L. Fanburg 4.5k 0.8× 977 0.3× 2.5k 1.5× 809 0.5× 522 0.4× 180 10.8k
Dennis E. Vance 8.5k 1.4× 3.2k 0.9× 346 0.2× 916 0.6× 697 0.5× 238 16.3k
Marc Yudkoff 6.7k 1.1× 1.9k 0.6× 439 0.3× 2.8k 1.8× 1.7k 1.2× 192 12.0k
Yuqing Huo 3.7k 0.6× 1.1k 0.3× 776 0.5× 1.6k 1.0× 353 0.2× 144 10.8k
Richard Breyer 3.5k 0.6× 1.9k 0.5× 728 0.4× 526 0.3× 946 0.7× 137 9.4k

Countries citing papers authored by Shiro Bannai

Since Specialization
Citations

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

Fields of papers citing papers by Shiro Bannai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiro Bannai

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