Miyuki Nakamura

1.4k total citations
46 papers, 1.0k citations indexed

About

Miyuki Nakamura is a scholar working on Molecular Biology, Plant Science and Surgery. According to data from OpenAlex, Miyuki Nakamura has authored 46 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Plant Science and 4 papers in Surgery. Recurrent topics in Miyuki Nakamura's work include Plant Molecular Biology Research (11 papers), Plant Reproductive Biology (4 papers) and Genomics and Chromatin Dynamics (4 papers). Miyuki Nakamura is often cited by papers focused on Plant Molecular Biology Research (11 papers), Plant Reproductive Biology (4 papers) and Genomics and Chromatin Dynamics (4 papers). Miyuki Nakamura collaborates with scholars based in Japan, Sweden and United States. Miyuki Nakamura's co-authors include Naoto Yabe, Taku Takahashi, Kotaro T. Yamamoto, Yoshibumi Komeda, Mitsutomo Abe, Hiroshi Katsumata, Lars Hennig, Asuka Miura, Tetsuji Kakutani and Hidetoshi Saze and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Development.

In The Last Decade

Miyuki Nakamura

43 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Miyuki Nakamura Japan 16 698 637 73 56 37 46 1.0k
Imran Haider Saudi Arabia 20 1.2k 1.8× 378 0.6× 27 0.4× 25 0.4× 28 0.8× 59 1.6k
Weiwei Guo China 16 650 0.9× 533 0.8× 84 1.2× 24 0.4× 7 0.2× 38 1.1k
Corinne Augé‐Gouillou France 18 423 0.6× 584 0.9× 102 1.4× 23 0.4× 50 1.4× 36 765
Srinivasan Ramachandran Singapore 19 593 0.8× 630 1.0× 88 1.2× 53 0.9× 16 0.4× 25 1.1k
Eriko Yoshida Japan 12 509 0.7× 615 1.0× 23 0.3× 31 0.6× 34 0.9× 33 1.1k
Xiaoguo Zheng China 14 395 0.6× 549 0.9× 214 2.9× 44 0.8× 16 0.4× 29 949
Sherif Edris Saudi Arabia 18 404 0.6× 474 0.7× 138 1.9× 20 0.4× 17 0.5× 76 919
Weixiang Wang China 15 273 0.4× 542 0.9× 96 1.3× 155 2.8× 8 0.2× 67 983
Xianzhong Wang China 16 214 0.3× 260 0.4× 80 1.1× 51 0.9× 76 2.1× 53 782

Countries citing papers authored by Miyuki Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Miyuki Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miyuki Nakamura

This figure shows the co-authorship network connecting the top 25 collaborators of Miyuki Nakamura. A scholar is included among the top collaborators of Miyuki 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 Miyuki Nakamura. Miyuki 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
1.
Nakamura, Miyuki, Maria Derkacheva, Katarina Landberg, et al.. (2025). Chromatin‐associated DEK proteins maintain H3K27me3 balance and coordinate developmental transitions in plants. New Phytologist. 249(2). 930–944.
2.
Yamaguchi, Shinji, et al.. (2023). The association between subjective anti-doping knowledge and objective knowledge among Japanese university athletes: a cross-sectional study. Frontiers in Sports and Active Living. 5. 1210390–1210390. 1 indexed citations
3.
Nakamura, Miyuki, Shinji Yamaguchi, Hiroshi Aono, et al.. (2023). Assessing the need to use sport supplements: The mediating role of sports supplement beliefs. Performance Enhancement & Health. 12(1). 100269–100269. 1 indexed citations
4.
Nakamura, Miyuki, et al.. (2023). Differential effects of acute exercise on emotional memory in men and women. Frontiers in Sports and Active Living. 5. 1062051–1062051. 3 indexed citations
5.
Nakajima, Junko, et al.. (2022). Latent changes in the pharyngeal stage of swallowing in non-aspirating older adults. European Geriatric Medicine. 13(3). 655–661. 3 indexed citations
6.
Yamaguchi, Shinji, et al.. (2020). Athlete’s Mental Health and Psychological Support. Juntendo Medical Journal. 66(Suppl.1). 78–82. 1 indexed citations
7.
Nakamura, Miyuki, Claudia Köhler, & Lars Hennig. (2019). Tissue-specific transposon-associated small RNAs in the gymnosperm tree, Norway spruce. BMC Genomics. 20(1). 997–997. 12 indexed citations
8.
Frost, Jennifer M., Guen Tae Park, Ping-Hung Hsieh, et al.. (2018). FACT complex is required for DNA demethylation at heterochromatin during reproduction in Arabidopsis. Proceedings of the National Academy of Sciences. 115(20). E4720–E4729. 53 indexed citations
9.
Nakamura, Miyuki, Masaaki Inaba, Shinsuke Yamada, et al.. (2018). Association of Decreased Handgrip Strength with Reduced Cortical Thickness in Japanese Female Patients with Type 2 Diabetes Mellitus. Scientific Reports. 8(1). 10767–10767. 13 indexed citations
10.
WATANABE, Satoshi, Miyuki Nakamura, & Nobuyuki Utsumi. (2018). The development of bias corrected hourly precipitation dataset for AMeDAS stations based on the projections from d4PDF. Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering). 74(5). I_127–I_132. 4 indexed citations
11.
Nakamura, Miyuki, Iva Mozgová, & Lars Hennig. (2017). Lost Memories of Winter: Breaking the FLC Silence. Molecular Plant. 10(12). 1477–1479. 2 indexed citations
12.
Nakamura, Miyuki, Thomas Wildhaber, Paolo Nanni, et al.. (2016). The H3 chaperone function of NASP is conserved in Arabidopsis. The Plant Journal. 88(3). 425–436. 18 indexed citations
13.
Shu, Huan, Miyuki Nakamura, Alexey Siretskiy, et al.. (2014). Arabidopsisreplacement histone variant H3.3 occupies promoters of regulated genes. Genome biology. 15(4). R62–R62. 57 indexed citations
14.
Nakamura, Miyuki. (2013). The 1768 and 1791 Okinawa tsunamis in the Ryukyu Trench region. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
15.
Nakamura, Miyuki, et al.. (2009). A Sandwich ELISA for the Determination of Beef Meat Content in Processed Foods. Food Science and Technology Research. 15(6). 613–618. 5 indexed citations
16.
Kansaku, Norio, et al.. (2009). Canine bone marrow cells differentiate into hepatocyte-like cells and placental hydrolysate is a potential inducer. Research in Veterinary Science. 87(1). 1–6. 6 indexed citations
17.
Miura, Asuka, et al.. (2009). An Arabidopsis jmjC domain protein protects transcribed genes from DNA methylation at CHG sites. The EMBO Journal. 28(8). 1078–1086. 156 indexed citations
18.
Ando, Shoko, et al.. (2006). Trial test of the "Itamikei", a pain meter and its ease of operation for clinical practice. Palliative Care Research. 1(1). 201–205.
19.
Nakamura, Miyuki, Hiroshi Katsumata, Mitsutomo Abe, et al.. (2006). Characterization of the Class IV Homeodomain-Leucine Zipper Gene Family in Arabidopsis. PLANT PHYSIOLOGY. 141(4). 1363–1375. 259 indexed citations
20.
Kato, Shinsuke, Takao Shinozawa, Miyuki Nakamura, et al.. (2002). Monoclonal antibody to stage-specific fetal brain 68-kDa glycoprotein (FGP68) revealed increased FGP68 expression in human primary brain tumors. Acta Neuropathologica. 104(1). 57–66.

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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