Masaru Nakamoto
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms 3
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- Axon Guidance and Neuronal Signaling 13
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ 4
- Zebrafish Biomedical Research Applications 2
- Molecular Biology top 10%
- Angiogenesis and VEGF in Cancer 3
- Retinal Development and Disorders 2
- Developmental Biology and Gene Regulation 2
- Neurology top 10%
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- Lung Cancer Treatments and Mutations 3
- Co-authors
- John G. FlanaganAndrew D. BergemannHwai-Jong ChengMichael J. HansenTodd McLaughlinDennis D.M. O’LearyGlenn C. FriedmanHiroya Obama
- Journals
- Cell (2 papers)Journal of Biological Chemistry (2 papers)Journal of Neuroscience (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Masaru Nakamoto
22 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Developmental Neuroscience 341
- Cellular and Molecular Neuroscience 1.3k
- Cell Biology 701
- Molecular Biology 1.1k
- Neurology 74
Countries citing papers authored by Masaru Nakamoto
This map shows the geographic impact of Masaru Nakamoto'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 Masaru Nakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaru Nakamoto more than expected).
Fields of papers citing papers by Masaru Nakamoto
This network shows the impact of papers produced by Masaru Nakamoto. 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 Masaru Nakamoto. The network helps show where Masaru Nakamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masaru Nakamoto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 12 | |
| 2 | 2018 | 13 | |
| 3 | 2013 | 1 | |
| 4 | 2013 | 4 | |
| 5 | 2011 | 30 | |
| 6 | 2009 | 19 | |
| 7 | 2007 | 224 | |
| 8 | 2006 | 143 | |
| 9 | 2006 | 27 | |
| 10 | 2005 | 66 | |
| 11 | 2004 | 115 | |
| 12 | 2002 | 122 | |
| 13 | 2001 | 26 | |
| 14 | 2001 | 2 | |
| 15 | 2000 | 34 | |
| 16 | 1996 | 351 | |
| 17 | Complementary gradients in expression and binding of ELF-1 and Mek4 in development of the topographic retinotectal projection mapbreakdown → | 1995 | 622 |
| 18 | 1993 | 10 | |
| 19 | 1992 | 50 | |
| 20 | 1990 | 80 |
About Masaru Nakamoto
Masaru Nakamoto is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Developmental Biology, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (13 papers), Hippo pathway signaling and YAP/TAZ (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Lung Cancer Treatments and Mutations (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Retinal Development and Disorders (2 papers), Zebrafish Biomedical Research Applications (2 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Developmental Neuroscience (341 citations), Cellular and Molecular Neuroscience (1.3k citations) and Cell Biology (701 citations). Masaru Nakamoto has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include John G. Flanagan, Andrew D. Bergemann, Hwai-Jong Cheng, Michael J. Hansen, Todd McLaughlin, Dennis D.M. O’Leary, Glenn C. Friedman, Hiroya Obama, Eiji Shimizu and Takashi Kohno. Their work appears in journals such as Cell, Journal of Biological Chemistry and Journal of Neuroscience.
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.