Kaoru Sakabe
- Molecular Biology top 10%
- Organic Chemistry top 5%
- Immunology top 10%
- Oncology
- Cell Biology
- Co-authors
- Gerald W. HartZihao WangWin D. CheungDonald F. HuntNamrata D. UdeshiPhilip D. ComptonJeffrey ShabanowitzChad Slawson
- Topics
- Glycosylation and Glycoproteins Research (5 papers)Carbohydrate Chemistry and Synthesis (3 papers)Galectins and Cancer Biology (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesJapanChina
In The Last Decade
Kaoru Sakabe
11 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 1.0k
- Organic Chemistry 403
- Immunology 337
- Oncology 108
- Cell Biology 93
Countries citing papers authored by Kaoru Sakabe
This map shows the geographic impact of Kaoru Sakabe'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 Kaoru Sakabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Sakabe more than expected).
Fields of papers citing papers by Kaoru Sakabe
This network shows the impact of papers produced by Kaoru Sakabe. 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 Kaoru Sakabe. The network helps show where Kaoru Sakabe may publish in the future.
Co-authorship network of co-authors of Kaoru Sakabe
This figure shows the co-authorship network connecting the top 25 collaborators of Kaoru Sakabe. A scholar is included among the top collaborators of Kaoru Sakabe 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 Kaoru Sakabe. Kaoru Sakabe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 58 | |
| 2 | 115 | |
| 3 | 271 | |
| 4 | 286 | |
| 5 | 137 | |
| 6 | 73 | |
| 7 | 106 | |
| 8 | 25 | |
| 9 | Variants of the human prostate LNCaP cell line as tools to study discrete components of the androgen-mediated proliferative response. | 36 |
| 10 | Hormone and immune response, with special reference to steroid hormone 1. A short review. | 5 |
| 11 | Hormonal events surrounding spontaneous onset of puberty in female rats. | 1 |
About Kaoru Sakabe
Kaoru Sakabe is a scholar working on Behavioral Neuroscience, Immunology and Molecular Biology, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Carbohydrate Chemistry and Synthesis (3 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Immunology (337 citations), Molecular Biology (1.0k citations) and Organic Chemistry (403 citations). Kaoru Sakabe has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Gerald W. Hart, Zihao Wang, Win D. Cheung, Zihao Wang, Donald F. Hunt, Namrata D. Udeshi, Philip D. Compton, Jeffrey Shabanowitz, Chad Slawson and Keith Vosseller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature 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.