Yoko Bekku
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Cell Biology top 2%
- Developmental Neuroscience top 1%
- Oncology top 10%
- Co-authors
- Hajime FujisawaTakashi KitsukawaTakeshi YagiMakoto SanboToshitaka OohashiTakahiko KawasakiYoichi MatsudaMasahiko Taniguchi
- Topics
- Proteoglycans and glycosaminoglycans research (13 papers)Glycosylation and Glycoproteins Research (7 papers)Axon Guidance and Neuronal Signaling (5 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yoko Bekku
20 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 1.3k
- Cell Biology 695
- Developmental Neuroscience 354
- Oncology 312
Countries citing papers authored by Yoko Bekku
This map shows the geographic impact of Yoko Bekku'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 Yoko Bekku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoko Bekku more than expected).
Fields of papers citing papers by Yoko Bekku
This network shows the impact of papers produced by Yoko Bekku. 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 Yoko Bekku. The network helps show where Yoko Bekku may publish in the future.
Co-authorship network of co-authors of Yoko Bekku
This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Bekku. A scholar is included among the top collaborators of Yoko Bekku 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 Yoko Bekku. Yoko Bekku is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 13 | |
| 4 | 7 | |
| 5 | 98 | |
| 6 | 23 | |
| 7 | 72 | |
| 8 | 52 | |
| 9 | 96 | |
| 10 | 32 | |
| 11 | 80 | |
| 12 | 15 | |
| 13 | 33 | |
| 14 | 27 | |
| 15 | 100 | |
| 16 | 103 | |
| 17 | 136 | |
| 18 | A requirement for neuropilin-1 in embryonic vessel formationbreakdown → | 640 |
| 19 | Neuropilin-semaphorin III/D-mediated Chemorepulsive Signals Play a Crucial Role in Peripheral Nerve Projection in Mice | 1 |
| 20 | Neuropilin–Semaphorin III/D-Mediated Chemorepulsive Signals Play a Crucial Role in Peripheral Nerve Projection in Micebreakdown → | 558 |
About Yoko Bekku
Yoko Bekku is a scholar working on Cell Biology, Immunology and Allergy and Developmental Neuroscience, having authored 21 papers that have together received 2.1k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (13 papers), Glycosylation and Glycoproteins Research (7 papers) and Axon Guidance and Neuronal Signaling (5 papers). The work is most often cited by research in Developmental Neuroscience (354 citations), Cellular and Molecular Neuroscience (1.3k citations) and Cell Biology (695 citations). Yoko Bekku has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Hajime Fujisawa, Takashi Kitsukawa, Takeshi Yagi, Makoto Sanbo, Toshitaka Oohashi, Takahiko Kawasaki, Yoichi Matsuda, Masahiko Taniguchi, Masayuki Shimizu and Tatsumi Hirata. Their work appears in journals such as Neuron, Journal of Neuroscience and The Journal of Cell Biology.
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.