Ayako Nakamura

1.9k citations
56 papers · 1.6k indexed · h-index 22
Topics
Nanoparticles: synthesis and applications (22 papers)Field-Flow Fractionation Techniques (12 papers)Graphene and Nanomaterials Applications (9 papers)
Partner nations
JapanUnited StatesRussia

In The Last Decade

Ayako Nakamura

55 papers receiving 1.6k citations

Peers

Ayako Nakamura
Comparison fields: 5 of 131
  • Materials Chemistry 966
  • Biomedical Engineering 491
  • Health, Toxicology and Mutagenesis 310
  • Biomaterials 207
  • Molecular Biology 137
Replace Nathalie Herlin‐Boime with:
Nathalie Herlin‐Boime France
Oleg V. Salata United Kingdom
Yi‐Kong Hsieh Taiwan
Arianne M. Neigh United States
Barbara Drašler Switzerland
Ivan I. Pacheco Canada
Cécile Reynaud France
Haruhisa Kato Japan
Déborah Berhanu United Kingdom
J. Behari India
Ayako Nakamura relative to Nathalie Herlin‐Boime France Nathalie Herlin‐Boime's profile →
Citations per field
00.5×1.5×
Nathalie Herlin‐Boime · 1×
Citations per year

Countries citing papers authored by Ayako Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Ayako Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayako Nakamura

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 9
5 14
6 36
7 35
8 76
9 34
10 4
11 152
12 40
13 71
14 101
15 13
16 4
17 39
18 51
19 87
20 25

About Ayako Nakamura

Ayako Nakamura is a scholar working on Developmental Neuroscience, Materials Chemistry and Computational Mechanics, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nanoparticles: synthesis and applications (22 papers), Field-Flow Fractionation Techniques (12 papers) and Graphene and Nanomaterials Applications (9 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (310 citations), Materials Chemistry (966 citations) and Biomaterials (207 citations). Ayako Nakamura has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Haruhisa Kato, Shinichi Kinugasa, Masanori Horie, Shigehisa Endoh, Katsuhide Fujita, Yasukazu Yoshida, Hitoshi Iwahashi, Keiko Nishio, Arisa Miyauchi and Kayori Takahashi. Their work appears in journals such as Analytical Chemistry, Carbon and Journal of Colloid and Interface Science.

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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