Vicky Yamamoto
Impact in
- Developmental Neuroscience top 10%
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- Axon Guidance and Neuronal Signaling
- Nerve injury and regeneration
Papers in
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- Graphene and Nanomaterials Applications 3
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- Neuroscience and Neural Engineering 3
- Co-authors
- Wange Lu (4 shared papers)David Baltimore (1 shared paper)Babak Kateb (11 shared papers)Jungmook Lyu (2 shared papers)Warren Grundfest (2 shared papers)J. Peter Gruen (1 shared paper)Cheng Yu (1 shared paper)Liyun Zeng (1 shared paper)
- Journals
- Journal of Personalized Medicine (3 papers)Oral Oncology (2 papers)NeuroImage (2 papers)Physics in Medicine and Biology (2 papers)Journal of the Neurological Sciences (1 paper)
- Partner nations
- United StatesSouth KoreaIndia
In The Last Decade
Vicky Yamamoto
27 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 111
- Developmental Neuroscience 43
- Cellular and Molecular Neuroscience 194
- Aging 17
- Molecular Biology 590
- Biomaterials 82
Countries citing papers authored by Vicky Yamamoto
This map shows the geographic impact of Vicky Yamamoto'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 Vicky Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vicky Yamamoto more than expected).
Fields of papers citing papers by Vicky Yamamoto
This network shows the impact of papers produced by Vicky Yamamoto. 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 Vicky Yamamoto. The network helps show where Vicky Yamamoto may publish in the future.
Co-authors
The 25 scholars most cited alongside Vicky Yamamoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 380 | |
| 2 | 2010 | 153 | |
| 3 | 2009 | 130 | |
| 4 | 2008 | 112 | |
| 5 | 2013 | 60 | |
| 6 | 2014 | 42 | |
| 7 | 2010 | 37 | |
| 8 | 2013 | 36 | |
| 9 | 2016 | 33 | |
| 10 | 2022 | 19 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2016 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2018 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2022 | 3 |
About Vicky Yamamoto
Vicky Yamamoto is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology and Epidemiology, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Neuroscience and Neural Engineering (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Graphene and Nanomaterials Applications (3 papers), Cellular transport and secretion (2 papers), Developmental Biology and Gene Regulation (2 papers) and Spine and Intervertebral Disc Pathology (2 papers). The work is most often cited by research in Developmental Neuroscience (43 citations), Cellular and Molecular Neuroscience (194 citations), Aging (17 citations), Molecular Biology (590 citations) and Biomaterials (82 citations). Vicky Yamamoto has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Wange Lu, David Baltimore, Babak Kateb, Jungmook Lyu, Warren Grundfest, J. Peter Gruen, Cheng Yu, Liyun Zeng, Kai Wang and Peilin Zhang. Their work appears in journals such as Journal of Personalized Medicine, Oral Oncology, NeuroImage, Physics in Medicine and Biology and Journal of the Neurological Sciences.
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.