Masaru Nakamoto
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Cell Biology top 2%
- Developmental Neuroscience top 1%
- Oncology
- Co-authors
- John G. FlanaganAndrew D. BergemannHwai-Jong ChengMichael J. HansenTodd McLaughlinDennis D.M. O’LearyGlenn C. FriedmanHiroya Obama
- Topics
- Axon Guidance and Neuronal Signaling (13 papers)Hippo pathway signaling and YAP/TAZ (4 papers)Angiogenesis and VEGF in Cancer (3 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
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 1.1k
- Cell Biology 701
- Developmental Neuroscience 341
- Oncology 173
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 of co-authors of Masaru Nakamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Masaru Nakamoto. A scholar is included among the top collaborators of Masaru Nakamoto 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 Masaru Nakamoto. Masaru Nakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 13 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 30 | |
| 6 | 19 | |
| 7 | 224 | |
| 8 | 143 | |
| 9 | 27 | |
| 10 | 66 | |
| 11 | 115 | |
| 12 | 122 | |
| 13 | 26 | |
| 14 | 2 | |
| 15 | 34 | |
| 16 | 351 | |
| 17 | Complementary gradients in expression and binding of ELF-1 and Mek4 in development of the topographic retinotectal projection mapbreakdown → | 622 |
| 18 | 10 | |
| 19 | 50 | |
| 20 | 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) and Angiogenesis and VEGF in Cancer (3 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.