Ken'ichiro Mitsui
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Infectious Diseases top 10%
- Immunology
- Cell Biology
- Co-authors
- Yoshiko Ohno‐IwashitaJun’ichi HaseMachiko IwamotoShinji AndoNaoko Sekino‐SuzukiKyoichi KobashiS OchoaJohn J. Siekierka
- Topics
- Clostridium difficile and Clostridium perfringens research (10 papers)Toxin Mechanisms and Immunotoxins (10 papers)Pharmacological Effects of Natural Compounds (7 papers)
In The Last Decade
Ken'ichiro Mitsui
29 papers receiving 594 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 428
- Public Health, Environmental and Occupational Health 164
- Infectious Diseases 159
- Immunology 154
- Cell Biology 70
Countries citing papers authored by Ken'ichiro Mitsui
This map shows the geographic impact of Ken'ichiro Mitsui'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 Ken'ichiro Mitsui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken'ichiro Mitsui more than expected).
Fields of papers citing papers by Ken'ichiro Mitsui
This network shows the impact of papers produced by Ken'ichiro Mitsui. 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 Ken'ichiro Mitsui. The network helps show where Ken'ichiro Mitsui may publish in the future.
Co-authorship network of co-authors of Ken'ichiro Mitsui
This figure shows the co-authorship network connecting the top 25 collaborators of Ken'ichiro Mitsui. A scholar is included among the top collaborators of Ken'ichiro Mitsui 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 Ken'ichiro Mitsui. Ken'ichiro Mitsui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 95 | |
| 3 | 9 | |
| 4 | 40 | |
| 5 | 35 | |
| 6 | 55 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 11 | |
| 11 | 47 | |
| 12 | 16 | |
| 13 | 36 | |
| 14 | 14 | |
| 15 | 36 | |
| 16 | 29 | |
| 17 | Clostridium perfringens exotoxins. VI. Reactivity of perfringolysin O with thiol and disulfide compounds. | 3 |
| 18 | Clostridium perfringens exotoxins. III. Binding of theta-toxin to erythrocyte membrane. | 5 |
| 19 | 24 | |
| 20 | 14 |
About Ken'ichiro Mitsui
Ken'ichiro Mitsui is a scholar working on Pharmacology, Infectious Diseases and Immunology, having authored 29 papers that have together received 626 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (10 papers), Toxin Mechanisms and Immunotoxins (10 papers) and Pharmacological Effects of Natural Compounds (7 papers). The work is most often cited by research in Infectious Diseases (159 citations), Immunology (154 citations) and Molecular Biology (428 citations). Ken'ichiro Mitsui has collaborated with scholars based in Japan and India. Frequent co-authors include Yoshiko Ohno‐Iwashita, Jun’ichi Hase, Machiko Iwamoto, Shinji Ando, Naoko Sekino‐Suzuki, Kyoichi Kobashi, S Ochoa, John J. Siekierka, Shintaro Iwashita and Takashi Sekiya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemistry and Biochemical and Biophysical Research Communications.
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.