Mako Nakamura

2.0k citations
68 papers · 1.6k indexed · 1 hit paper · h-index 20
Topics
Muscle Physiology and Disorders (22 papers)RNA Research and Splicing (10 papers)Axon Guidance and Neuronal Signaling (7 papers)
Partner nations
JapanCanadaUnited States

In The Last Decade

Mako Nakamura

65 papers receiving 1.6k citations

Hit Papers

Diet-Dependent Shifts in the Bacterial Population of the ...20012026200920172001100200300400500

Peers

Mako Nakamura
Comparison fields: 5 of 120
  • Molecular Biology 843
  • Agronomy and Crop Science 430
  • Genetics 203
  • Physiology 197
  • Cellular and Molecular Neuroscience 181
Replace Mohammad Kazemi with:
Mohammad Kazemi Iran
Jackson James United States
Jane S. McLaren United Kingdom
Kouichi Watanabe Japan
Stefano Grolli Italy
Nils Krueger United States
Bingbing Zhang China
Kate Powell United Kingdom
Mauro Mattioli Italy
Jinliang Li China
Mako Nakamura relative to Mohammad Kazemi Iran Mohammad Kazemi's profile →
Citations per field
00.5×1.5×
Mohammad Kazemi · 1×
Citations per year

Countries citing papers authored by Mako Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Mako Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mako Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Mako Nakamura. A scholar is included among the top collaborators of Mako 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 Mako Nakamura. Mako 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 3
2 1
3 1
4 17
5 22
6 48
7 16
8 2
9 8
10 26
11 7
12 3
13 3
14 7
15 4
16 15
17 77
18
Prevotella ruminicola由来セルラーゼ遺伝子のクローニング,発現及び特徴
1
19
A homeodomain protein, Barx and serum response factor (SRF) regulate transcription of β-tropomyosin gene in the smooth muscle cells.
1
20 5

About Mako Nakamura

Mako Nakamura is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (22 papers), RNA Research and Splicing (10 papers) and Axon Guidance and Neuronal Signaling (7 papers). The work is most often cited by research in Agronomy and Crop Science (430 citations), Molecular Biology (843 citations) and Cell Biology (172 citations). Mako Nakamura has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Takafumi Nagamine, Hiroki Matsui, Kiyoshi Tajima, Yoshimi Benno, Rustam Aminov, Wataru Mizunoya, Ryuichi Tatsumi, Yoshihide Ikeuchi, Charles G. Sagerström and Yusuke Sato. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Applied and Environmental Microbiology.

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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