Kazuko Keino‐Masu
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 5%
- Developmental Neuroscience top 0.5%
- Cell Biology top 1%
- Oncology
- Co-authors
- Masayuki MasuMarc Tessier‐LavigneLindsay HinckE. David LeonardoJoseph G. CulottiSusan L. AckermanEsther T. StoeckliAmin Fazeli
- Topics
- Axon Guidance and Neuronal Signaling (9 papers)Proteoglycans and glycosaminoglycans research (9 papers)Glycosylation and Glycoproteins Research (7 papers)
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Kazuko Keino‐Masu
36 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 1.8k
- Molecular Biology 1.7k
- Developmental Neuroscience 850
- Cell Biology 847
- Oncology 202
Countries citing papers authored by Kazuko Keino‐Masu
This map shows the geographic impact of Kazuko Keino‐Masu'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 Kazuko Keino‐Masu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuko Keino‐Masu more than expected).
Fields of papers citing papers by Kazuko Keino‐Masu
This network shows the impact of papers produced by Kazuko Keino‐Masu. 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 Kazuko Keino‐Masu. The network helps show where Kazuko Keino‐Masu may publish in the future.
Co-authorship network of co-authors of Kazuko Keino‐Masu
This figure shows the co-authorship network connecting the top 25 collaborators of Kazuko Keino‐Masu. A scholar is included among the top collaborators of Kazuko Keino‐Masu 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 Kazuko Keino‐Masu. Kazuko Keino‐Masu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 12 | |
| 7 | 8 | |
| 8 | 4 | |
| 9 | 31 | |
| 10 | 2 | |
| 11 | 46 | |
| 12 | 42 | |
| 13 | 31 | |
| 14 | 34 | |
| 15 | 16 | |
| 16 | 24 | |
| 17 | 66 | |
| 18 | 73 | |
| 19 | Phenotype of mice lacking functional Deleted in colorectal cancer (Dec) genebreakdown → | 637 |
| 20 | Deleted in Colorectal Cancer (DCC) Encodes a Netrin Receptorbreakdown → | 844 |
About Kazuko Keino‐Masu
Kazuko Keino‐Masu is a scholar working on Developmental Neuroscience, Cell Biology and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 2.9k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (9 papers), Proteoglycans and glycosaminoglycans research (9 papers) and Glycosylation and Glycoproteins Research (7 papers). The work is most often cited by research in Developmental Neuroscience (850 citations), Cellular and Molecular Neuroscience (1.8k citations) and Cell Biology (847 citations). Kazuko Keino‐Masu has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Masayuki Masu, Marc Tessier‐Lavigne, Lindsay Hinck, E. David Leonardo, Joseph G. Culotti, Susan L. Ackerman, Esther T. Stoeckli, Amin Fazeli, Robert A. Weinberg and Seiichi Koike. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.
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.