Masamitsu Kanai
- Molecular Biology top 10%
- Biochemistry top 2%
- Cell Biology top 10%
- Nutrition and Dietetics top 10%
- Physiology
- Co-authors
- DeWitt S. GoodmanAmiram RazHelen S. HuangTatsuji ShiratoriTsutomu KatsuyamaYoshiyuki KawakamiMichimasa KatoMasataka Okuno
- Topics
- Glycosylation and Glycoproteins Research (5 papers)Retinoids in leukemia and cellular processes (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical InvestigationThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited States
In The Last Decade
Masamitsu Kanai
28 papers receiving 941 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 725
- Biochemistry 252
- Cell Biology 188
- Nutrition and Dietetics 106
- Physiology 95
Countries citing papers authored by Masamitsu Kanai
This map shows the geographic impact of Masamitsu Kanai'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 Masamitsu Kanai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masamitsu Kanai more than expected).
Fields of papers citing papers by Masamitsu Kanai
This network shows the impact of papers produced by Masamitsu Kanai. 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 Masamitsu Kanai. The network helps show where Masamitsu Kanai may publish in the future.
Co-authorship network of co-authors of Masamitsu Kanai
This figure shows the co-authorship network connecting the top 25 collaborators of Masamitsu Kanai. A scholar is included among the top collaborators of Masamitsu Kanai 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 Masamitsu Kanai. Masamitsu Kanai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 19 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 36 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 17 | |
| 16 | 6 | |
| 17 | Sensitivity of fresh isolates of Haemophilus to current antibiotics. | 3 |
| 18 | Retinol-binding protein: the transport protein for vitamin A in human plasmabreakdown → | 736 |
| 19 | 75 | |
| 20 | 10 |
About Masamitsu Kanai
Masamitsu Kanai is a scholar working on Microbiology, Molecular Medicine and Clinical Biochemistry, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Retinoids in leukemia and cellular processes (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Biochemistry (252 citations), Cell Biology (188 citations) and Molecular Biology (725 citations). Masamitsu Kanai has collaborated with scholars based in Japan and United States. Frequent co-authors include DeWitt S. Goodman, Amiram Raz, Helen S. Huang, Tatsuji Shiratori, Tsutomu Katsuyama, Yoshiyuki Kawakami, Michimasa Kato, Masataka Okuno, Yukie Okimura and Yasutoshi Muto. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Clinical Endocrinology & Metabolism.
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.