Mako Nakamura

2.0k total citations · 1 hit paper
68 papers, 1.6k citations indexed

About

Mako Nakamura is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Mako Nakamura has authored 68 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Physiology. Recurrent topics in Mako Nakamura's work include Muscle Physiology and Disorders (22 papers), RNA Research and Splicing (10 papers) and Axon Guidance and Neuronal Signaling (7 papers). Mako Nakamura is often cited by papers focused on Muscle Physiology and Disorders (22 papers), RNA Research and Splicing (10 papers) and Axon Guidance and Neuronal Signaling (7 papers). Mako Nakamura collaborates with scholars based in Japan, Canada and United States. Mako Nakamura's 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 and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Mako Nakamura

65 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Diet-Dependent Shifts in the Bacterial Population of the Rumen Revealed with Real-Time PCR

2001 567 citations Kiyoshi Tajima, Takafumi Nagamine et al. profile →

Peers

Mako Nakamura

MB

ACS

GENET

PHYSI

CMN

Mohammad Kazemi Iran

Paul Cormican Ireland

Xiaoli Guo China

Kate Powell United Kingdom

Ha Thi Thanh Tran Vietnam

Il‐Keun Kong South Korea

Jackson James United States

Jane S. McLaren United Kingdom

Kouichi Watanabe Japan

Jingyu Wang China

Mohammad Kazemi Iran

Mako Nakamura

894 ×1.1

MB

399 ×0.9

ACS

252 ×1.2

GENET

146 ×0.7

PHYSI

277 ×1.5

CMN

Citations per year, relative to Mako Nakamura Mako Nakamura (= 1×) peers Mohammad Kazemi

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

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20 of 20 papers shown

1.

Sawano, Shoko, et al.. (2023). Up- and Downregulated Genes after Long-Term Muscle Atrophy Induced by Denervation in Mice Detected Using RNA-Seq. Life. 13(5). 1111–1111. 3 indexed citations

2.

Nakashima, Takashi, Shoko Sawano, Wataru Mizunoya, et al.. (2022). A pilot study on nitration/dysfunction of NK1 segment of myogenic stem cell activator HGF. Biochemistry and Biophysics Reports. 31. 101295–101295. 1 indexed citations

3.

Ohtsubo, Hideaki, Yusuke Sato, Takahiro Suzuki, et al.. (2018). Fluorescence microscopy data on expression of Paired Box Transcription Factor 7 in skeletal muscle of APOBEC2 knockout mice. Data in Brief. 17. 1348–1351. 1 indexed citations

4.

Nakamura, Mako, et al.. (2018). Isolation and Purification of Satellite Cells from Young Rats by Percoll Density Gradient Centrifugation. Methods in molecular biology. 1889. 81–93. 17 indexed citations

5.

Sato, Yusuke, Hideaki Ohtsubo, Takane Kaneko, et al.. (2017). Apobec2 deficiency causes mitochondrial defects and mitophagy in skeletal muscle. The FASEB Journal. 32(3). 1428–1439. 22 indexed citations

6.

Komiya, Yusuke, Shoko Sawano, Mako Nakamura, et al.. (2017). Mouse soleus (slow) muscle shows greater intramyocellular lipid droplet accumulation than EDL (fast) muscle: fiber type-specific analysis. Journal of Muscle Research and Cell Motility. 38(2). 163–173. 48 indexed citations

7.

Ohtsubo, Hideaki, Yusuke Sato, Takahiro Suzuki, et al.. (2017). APOBEC2 negatively regulates myoblast differentiation in muscle regeneration. The International Journal of Biochemistry & Cell Biology. 85. 91–101. 16 indexed citations

8.

Komiya, Yusuke, Judy E. Anderson, Mako Nakamura, et al.. (2015). Data in support of protocol for rat single muscle-fiber isolation and culture. Data in Brief. 4. 7–10. 2 indexed citations

9.

Komiya, Yusuke, Judy E. Anderson, Mako Nakamura, et al.. (2015). Protocol for rat single muscle fiber isolation and culture. Analytical Biochemistry. 482. 22–24. 8 indexed citations

10.

Suzuki, Takahiro, Yusuke Sato, Koichi Ojima, et al.. (2012). Comparative analysis of semaphorin 3A in soleus and EDL muscle satellite cells in vitro toward understanding its role in modulating myogenin expression. The International Journal of Biochemistry & Cell Biology. 45(2). 476–482. 26 indexed citations

11.

Choe, Seong‐Kyu, et al.. (2012). A Gal4/UAS system for conditional transgene expression in rhombomere 4 of the zebrafish hindbrain. Developmental Dynamics. 241(6). 1125–1132. 7 indexed citations

12.

Harada, Akihito, Yasuyuki Ohkawa, Jun Odawara, et al.. (2010). Rat Monoclonal Antibody Specific for MyoD. Hybridoma. 29(3). 255–258. 3 indexed citations

13.

Kotani, Manato, Akihito Harada, Jun Odawara, et al.. (2010). Monoclonal Antibody Specific for Dhx9/NDHII/RHA. Hybridoma. 29(3). 259–261. 3 indexed citations

14.

Harada, Akihito, Seiji Okada, Jun Odawara, et al.. (2010). Production of a Rat Monoclonal Antibody Specific for Myf5. Hybridoma. 29(1). 59–62. 7 indexed citations

15.

Harada, Akihito, Jun Odawara, Masayuki Azuma, et al.. (2010). Generation of a Rat Monoclonal Antibody Specific for Chd2. Hybridoma. 29(2). 173–177. 4 indexed citations

16.

Ohkawa, Yasuyuki, et al.. (2009). Production of a Rat Monoclonal Antibody Against Brg1. Hybridoma. 28(6). 463–466. 15 indexed citations

17.

Lu, Peiyuan, et al.. (2009). Meis Cofactors Control HDAC and CBP Accessibility at Hox-Regulated Promoters during Zebrafish Embryogenesis. Developmental Cell. 17(4). 561–567. 77 indexed citations

18.

Matsui, Hidenori, Kazuhiro Ogata, Kiyoshi Tajima, et al.. (2001). 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. Animal Science Journal. 72(5). 421–426. 1 indexed citations

19.

Nakamura, Mako, Wataru Nishida, Shunsuke Mori, Masanori Takahashi, & Kenji Sobue. (1998). A homeodomain protein, Barx and serum response factor (SRF) regulate transcription of β-tropomyosin gene in the smooth muscle cells.. 21. 429. 1 indexed citations

20.

Nakamura, Mako, et al.. (1995). Multiple alternative splice isoforms of parathyroid hormone-related peptide mRNA in human cell lines. Journal of Molecular Endocrinology. 15(3). 245–249. 5 indexed citations

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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