Akinori Nakamura

6.0k citations
144 papers · 4.5k indexed · h-index 38
Topics
Muscle Physiology and Disorders (62 papers)Inflammasome and immune disorders (13 papers)Virus-based gene therapy research (11 papers)
Partner nations
JapanUnited StatesCanada

In The Last Decade

Akinori Nakamura

134 papers receiving 4.4k citations

Peers

Akinori Nakamura
Comparison fields: 5 of 141
  • Molecular Biology 3.3k
  • Genetics 640
  • Genetics 630
  • Surgery 587
  • Cardiology and Cardiovascular Medicine 583
Replace Gaia Spinetti with:
Gaia Spinetti Italy
Kazutake Tsujikawa Japan
Mattia Albiero Italy
Masaki Noda Japan
Mathias Mericskay France
Beata Lecka‐Czernik United States
Xiang‐Hang Luo China
Thérèse J. Resink Switzerland
Paolo Madeddu United Kingdom
Matthew S. Rodeheffer United States
Akinori Nakamura relative to Gaia Spinetti Italy Gaia Spinetti's profile →
Citations per field
00.5×3.8×
Gaia Spinetti · 1×
Citations per year

Countries citing papers authored by Akinori Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Akinori Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akinori Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Akinori Nakamura. A scholar is included among the top collaborators of Akinori 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 Akinori Nakamura. Akinori 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 6
3 14
4 71
5 4
6 1
7 22
8 56
9 63
10 68
11 1
12 2
13 1
14
Hydration of cement with KCl.
0
15
2028 Influence of Temperature on the Dispersion of Cement Particles by Superplasticizers
2
16 9
17 1
18 0
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2
20 0

About Akinori Nakamura

Akinori Nakamura is a scholar working on Molecular Biology, Genetics and Neurology, having authored 144 papers that have together received 4.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (62 papers), Inflammasome and immune disorders (13 papers) and Virus-based gene therapy research (11 papers). The work is most often cited by research in Genetics (630 citations), Molecular Biology (3.3k citations) and Aging (56 citations). Akinori Nakamura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Shin’ichi Takeda, Shu‐ichi Ikeda, Kunihiro Yoshida, Katsutoshi Yuasa, Yoshitsugu Aoki, Toshifumi Yokota, Terence A. Partridge, Shin’ichi Takeda, Takao Hijikata and Eric P. Hoffman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Nature Genetics.

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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