Muneaki Nakamura

2.3k citations
20 papers · 1.7k indexed · 2 hit papers · h-index 13
Topics
CRISPR and Genetic Engineering (7 papers)Microtubule and mitosis dynamics (4 papers)Cardiomyopathy and Myosin Studies (4 papers)
Partner nations
United StatesJapanChina

In The Last Decade

Muneaki Nakamura

20 papers receiving 1.6k citations

Hit Papers

Engineered miniature CRISPR-Cas system for mammalian geno...20212026202220242021202150100150200250

Peers

Muneaki Nakamura
Comparison fields: 5 of 106
  • Molecular Biology 1.3k
  • Cellular and Molecular Neuroscience 262
  • Genetics 219
  • Developmental Neuroscience 108
  • Plant Science 107
Replace Kole T. Roybal with:
Kole T. Roybal United States
Elizabeth Di Lullo United States
Bifeng Pan United States
Sripriya Ravindra Kumar United States
Ellen M. DeGennaro United States
Magdalena Renner Austria
Hiroaki Ishikawa Japan
Daniel J. Dickinson United States
Takefumi Sone Japan
Ester J. Kwon United States
Muneaki Nakamura relative to Kole T. Roybal United States Kole T. Roybal's profile →
Citations per field
00.5×
Kole T. Roybal · 1×
Citations per year

Countries citing papers authored by Muneaki Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Muneaki Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muneaki Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Muneaki Nakamura. A scholar is included among the top collaborators of Muneaki 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 Muneaki Nakamura. Muneaki 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 5
2 61
3
CRISPR technologies for precise epigenome editingbreakdown →
254
4
Engineered miniature CRISPR-Cas system for mammalian genome regulation and editingbreakdown →
262
5 18
6 17
7 111
8 219
9 1
10 4
11 2
12 1
13 71
14 38
15 64
16 1
17 238
18 24
19 2
20 285

About Muneaki Nakamura

Muneaki Nakamura is a scholar working on Business and International Management, Aging and Condensed Matter Physics, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Microtubule and mitosis dynamics (4 papers) and Cardiomyopathy and Myosin Studies (4 papers). The work is most often cited by research in Business and International Management (75 citations), Aging (63 citations) and Developmental Neuroscience (108 citations). Muneaki Nakamura has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Lei S. Qi, Carla J. Shatz, Jerold Chun, Yuchen Gao, Antonia A. Dominguez, Xiaoshu Xu, Augustine Chemparathy, Taekjip Ha, Sean McKinney and Ivan Rasnik. Their work appears in journals such as Nature, Science and Cell.

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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