Nayuta Takemori

38 total papers · 550 total citations
20 papers, 348 citations indexed

About

Nayuta Takemori is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Materials Chemistry. According to data from OpenAlex, Nayuta Takemori has authored 20 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Condensed Matter Physics, 7 papers in Atomic and Molecular Physics, and Optics and 7 papers in Materials Chemistry. Recurrent topics in Nayuta Takemori's work include Physics of Superconductivity and Magnetism (10 papers), Quasicrystal Structures and Properties (6 papers) and Theoretical and Computational Physics (6 papers). Nayuta Takemori is often cited by papers focused on Physics of Superconductivity and Magnetism (10 papers), Quasicrystal Structures and Properties (6 papers) and Theoretical and Computational Physics (6 papers). Nayuta Takemori collaborates with scholars based in Japan, France and Germany. Nayuta Takemori's co-authors include Akihisa Koga, Ryotaro Arita, Shiro Sakai, Harald O. Jeschke, Sunao Shimizu, Yoshihiro Iwasa, Hiroaki Ikeda, Tsutomu Nojima, Junichi Shiogai and Atsushi Tsukazaki and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Nayuta Takemori

19 papers receiving 344 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nayuta Takemori 205 177 133 87 30 20 348
On Matumura 213 1.0× 29 0.2× 91 0.7× 114 1.3× 60 2.0× 18 328
Takahiko Kamigaichi 106 0.5× 146 0.8× 83 0.6× 222 2.6× 42 1.4× 24 326
F. Bommeli 273 1.3× 73 0.4× 81 0.6× 69 0.8× 57 1.9× 17 390
S.V. Vonsovskii 87 0.4× 157 0.9× 130 1.0× 124 1.4× 36 1.2× 18 310
C. W. Hutchings 114 0.6× 64 0.4× 174 1.3× 53 0.6× 77 2.6× 18 317
Anja Löhle 131 0.6× 129 0.7× 148 1.1× 183 2.1× 39 1.3× 17 310
I. U. Heilmann 103 0.5× 205 1.2× 97 0.7× 134 1.5× 6 0.2× 13 340
Yuan Zhou 225 1.1× 115 0.6× 133 1.0× 83 1.0× 38 1.3× 30 382
Xiang‐Long Yu 253 1.2× 86 0.5× 167 1.3× 86 1.0× 87 2.9× 36 381
G. M. Maksimova 159 0.8× 152 0.9× 252 1.9× 57 0.7× 23 0.8× 32 377

Countries citing papers authored by Nayuta Takemori

Since Specialization
Citations

This map shows the geographic impact of Nayuta Takemori'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 Nayuta Takemori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nayuta Takemori more than expected).

Fields of papers citing papers by Nayuta Takemori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nayuta Takemori. 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 Nayuta Takemori. The network helps show where Nayuta Takemori may publish in the future.

Co-authorship network of co-authors of Nayuta Takemori

This figure shows the co-authorship network connecting the top 25 collaborators of Nayuta Takemori. A scholar is included among the top collaborators of Nayuta Takemori 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 Nayuta Takemori. Nayuta Takemori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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