Keitaro Hayashi
- Molecular Biology
- Immunology top 5%
- Oncology top 10%
- Biochemistry top 2%
- Cancer Research top 10%
- Co-authors
- Naohiko AnzaiPromsuk JutabhaHitoshi EndouAmnon AltmanMasanobu SatakeSonoko HabuHironori SagaraMotoshi Ouchi
- Topics
- Amino Acid Enzymes and Metabolism (15 papers)Immune Cell Function and Interaction (13 papers)T-cell and B-cell Immunology (10 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Experimental MedicineJournal of Clinical Oncology
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Keitaro Hayashi
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 669
- Immunology 496
- Oncology 252
- Biochemistry 249
- Cancer Research 183
Countries citing papers authored by Keitaro Hayashi
This map shows the geographic impact of Keitaro Hayashi'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 Keitaro Hayashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keitaro Hayashi more than expected).
Fields of papers citing papers by Keitaro Hayashi
This network shows the impact of papers produced by Keitaro Hayashi. 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 Keitaro Hayashi. The network helps show where Keitaro Hayashi may publish in the future.
Co-authorship network of co-authors of Keitaro Hayashi
This figure shows the co-authorship network connecting the top 25 collaborators of Keitaro Hayashi. A scholar is included among the top collaborators of Keitaro Hayashi 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 Keitaro Hayashi. Keitaro Hayashi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 15 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | Molecular Mechanism of the Urate-lowering Effects of Calcium Channel Blockers | 2 |
| 9 | 13 | |
| 10 | 29 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 114 | |
| 14 | 12 | |
| 15 | 111 | |
| 16 | 15 | |
| 17 | 54 | |
| 18 | 56 | |
| 19 | [Effects of agents used for removal of zona pellucida on human sperm penetration into zona-free hamster egg]. | 7 |
| 20 | OBSERVATIONS ON THE DUODENAL SPREAD OF GASTRIC CANCER | 2 |
About Keitaro Hayashi
Keitaro Hayashi is a scholar working on Biochemistry, Immunology and Cancer Research, having authored 55 papers that have together received 1.4k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (15 papers), Immune Cell Function and Interaction (13 papers) and T-cell and B-cell Immunology (10 papers). The work is most often cited by research in Biochemistry (249 citations), Immunology (496 citations) and Cancer Research (183 citations). Keitaro Hayashi has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Naohiko Anzai, Promsuk Jutabha, Hitoshi Endou, Amnon Altman, Masanobu Satake, Sonoko Habu, Hironori Sagara, Motoshi Ouchi, Toshio Watanabe and Natsumi Abe. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Journal of Clinical Oncology.
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.