Daisuke Nakayama
- Molecular Biology
- Biomedical Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Electrical and Electronic Engineering
- Materials Chemistry
- Co-authors
- Masayoshi WatanabeYukikazu TakeokaKazunori KataokaHiroshi NomuraNorio MatsukiYuji IkegayaHideo MatsumuraHiroyasu Koizumi
- Topics
- Neuroscience and Neuropharmacology Research (7 papers)Memory and Neural Mechanisms (7 papers)Dental materials and restorations (7 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionJournal of Neuroscience
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Daisuke Nakayama
93 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 154
- Molecular Biology 407
- Biomedical Engineering 262
- Cellular and Molecular Neuroscience 239
- Electrical and Electronic Engineering 224
- Materials Chemistry 223
Countries citing papers authored by Daisuke Nakayama
This map shows the geographic impact of Daisuke Nakayama'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 Daisuke Nakayama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Nakayama more than expected).
Fields of papers citing papers by Daisuke Nakayama
This network shows the impact of papers produced by Daisuke Nakayama. 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 Daisuke Nakayama. The network helps show where Daisuke Nakayama may publish in the future.
Co-authorship network of co-authors of Daisuke Nakayama
This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Nakayama. A scholar is included among the top collaborators of Daisuke Nakayama 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 Daisuke Nakayama. Daisuke Nakayama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 35 | |
| 5 | 31 | |
| 6 | 93 | |
| 7 | Proton NMR studies on rhodamine B in an aqueous clay suspension. | 2 |
| 8 | 高いステリルエステル合成能を有するTrichoderma sp.AS59由来の新規コレステロールエステラーゼの特性づけ | 1 |
| 9 | 5 | |
| 10 | 65 | |
| 11 | High directivity Backlight with TIR prism sheet | 1 |
| 12 | 5 | |
| 13 | 6 | |
| 14 | 27 | |
| 15 | 23 | |
| 16 | 23 | |
| 17 | 48 | |
| 18 | 3 | |
| 19 | 22 | |
| 20 | 1 |
About Daisuke Nakayama
Daisuke Nakayama is a scholar working on Orthodontics, Molecular Medicine and Bioengineering, having authored 101 papers that have together received 2.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Memory and Neural Mechanisms (7 papers) and Dental materials and restorations (7 papers). The work is most often cited by research in Orthodontics (158 citations), Developmental Neuroscience (86 citations) and Oral Surgery (124 citations). Daisuke Nakayama has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masayoshi Watanabe, Yukikazu Takeoka, Kazunori Kataoka, Hiroshi Nomura, Norio Matsuki, Yuji Ikegaya, Hideo Matsumura, Hiroyasu Koizumi, Hideaki Masuzaki and Kiyonori Miura. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition 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.