Masayoshi Nakamura
- Molecular Biology top 10%
- Plant Science top 2%
- Cell Biology top 2%
- Genetics
- Biochemistry top 10%
- Co-authors
- Takashi HashimotoDavid W. EhrhardtJelmer J. LindeboomBela M. MulderMichio NomuraKuniko NaoiTsubasa ShojiViktor Kirik
- Topics
- Plant Molecular Biology Research (19 papers)Microtubule and mitosis dynamics (12 papers)Photosynthetic Processes and Mechanisms (12 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Masayoshi Nakamura
37 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 96
- Molecular Biology 1.1k
- Plant Science 995
- Cell Biology 518
- Genetics 48
- Biochemistry 45
Countries citing papers authored by Masayoshi Nakamura
This map shows the geographic impact of Masayoshi Nakamura'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 Masayoshi Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayoshi Nakamura more than expected).
Fields of papers citing papers by Masayoshi Nakamura
This network shows the impact of papers produced by Masayoshi Nakamura. 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 Masayoshi Nakamura. The network helps show where Masayoshi Nakamura may publish in the future.
Co-authorship network of co-authors of Masayoshi Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Masayoshi Nakamura. A scholar is included among the top collaborators of Masayoshi Nakamura 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 Masayoshi Nakamura. Masayoshi Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | 40 | |
| 6 | 13 | |
| 7 | 64 | |
| 8 | 24 | |
| 9 | 53 | |
| 10 | 25 | |
| 11 | 29 | |
| 12 | 211 | |
| 13 | 63 | |
| 14 | 62 | |
| 15 | 206 | |
| 16 | 123 | |
| 17 | ROLE OF ENDOGENOUS STEROID HORMONES ON GONADAL SEX DIFFERENTIATION IN FISH(Developmental Biology)(Proceedings of the Seventieth Annual Meeting of the Zoological Society of Japan) | 2 |
| 18 | 1 | |
| 19 | The effect of glucose and phosphate on mouse two-cell embryos to develop in vitro. | 4 |
| 20 | 1 |
About Masayoshi Nakamura
Masayoshi Nakamura is a scholar working on Cell Biology, Plant Science and Reproductive Medicine, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (19 papers), Microtubule and mitosis dynamics (12 papers) and Photosynthetic Processes and Mechanisms (12 papers). The work is most often cited by research in Cell Biology (518 citations), Plant Science (995 citations) and Molecular Biology (1.1k citations). Masayoshi Nakamura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Takashi Hashimoto, David W. Ehrhardt, Jelmer J. Lindeboom, Bela M. Mulder, Michio Nomura, Kuniko Naoi, Tsubasa Shoji, Viktor Kirik, Wolf B. Frommer and Tijs Ketelaar. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of 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.