Shiro Bannai
- Molecular Biology top 1%
- Biochemistry top 0.02%
- Pulmonary and Respiratory Medicine top 1%
- Cancer Research top 1%
- Cellular and Molecular Neuroscience top 1%
- Co-authors
- Tetsuro IshiiHideyo SatoMichiko TambaKen ItohJun‐ichi SagaraToru YanagawaMasayuki YamamotoKenji Miura
- Topics
- Amino Acid Enzymes and Metabolism (46 papers)Biomedical Research and Pathophysiology (32 papers)Sulfur Compounds in Biology (25 papers)
- Partner nations
- JapanUnited KingdomGermany
In The Last Decade
Shiro Bannai
118 papers receiving 10.9k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 5.9k
- Biochemistry 3.5k
- Pulmonary and Respiratory Medicine 1.7k
- Cancer Research 1.6k
- Cellular and Molecular Neuroscience 1.4k
Countries citing papers authored by Shiro Bannai
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | The ferroptosis inducer erastin irreversibly inhibits system xc− and synergizes with cisplatin to increase cisplatin’s cytotoxicity in cancer cellsbreakdown → | 311 |
| 2 | 226 | |
| 3 | 42 | |
| 4 | 19 | |
| 5 | 15 | |
| 6 | 79 | |
| 7 | Cloning and Expression of a Plasma Membrane Cystine/Glutamate Exchange Transporter Composed of Two Distinct Proteinsbreakdown → | 907 |
| 8 | 96 | |
| 9 | 4 | |
| 10 | 36 | |
| 11 | 7 | |
| 12 | 43 | |
| 13 | 17 | |
| 14 | 47 | |
| 15 | 7 | |
| 16 | 348 | |
| 17 | 39 | |
| 18 | 16 | |
| 19 | 3 | |
| 20 | 16 |
About Shiro Bannai
Shiro Bannai is a scholar working on Biochemistry, Clinical Biochemistry and Pathology and Forensic Medicine, having authored 118 papers that have together received 11.1k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (46 papers), Biomedical Research and Pathophysiology (32 papers) and Sulfur Compounds in Biology (25 papers). The work is most often cited by research in Biochemistry (3.5k citations), Biological Psychiatry (282 citations) and Cancer Research (1.6k citations). Shiro Bannai has collaborated with scholars based in Japan, United Kingdom and Germany. Frequent 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. Their work appears in journals such as Nature, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.