Mutsuko Nakano

1.2k total citations
15 papers, 934 citations indexed

About

Mutsuko Nakano is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mutsuko Nakano has authored 15 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mutsuko Nakano's work include Plant Reproductive Biology (4 papers), Photosynthetic Processes and Mechanisms (3 papers) and Chromosomal and Genetic Variations (3 papers). Mutsuko Nakano is often cited by papers focused on Plant Reproductive Biology (4 papers), Photosynthetic Processes and Mechanisms (3 papers) and Chromosomal and Genetic Variations (3 papers). Mutsuko Nakano collaborates with scholars based in Japan, Switzerland and United States. Mutsuko Nakano's co-authors include Nori Kurata, Ken–Ichi Nonomura, Mitsugu Eiguchi, Akio Miyao, Hirohiko Hirochika, Akane Morohoshi, Tadzunu Suzuki, Hajime Ohyanagi, Mitsuru Niihama and Reina Komiya and has published in prestigious journals such as The Plant Cell, Journal of Agricultural and Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Mutsuko Nakano

15 papers receiving 926 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mutsuko Nakano Japan	11	704	698	77	72	33	15	934
Franz Dürrenberger Switzerland	15	301 0.4×	514 0.7×	32 0.4×	42 0.6×	31 0.9×	21	831
Bindu Joseph United States	15	1.1k 1.6×	663 0.9×	108 1.4×	298 4.1×	16 0.5×	18	1.5k
Shiquan Wang China	21	1.1k 1.5×	793 1.1×	71 0.9×	370 5.1×	52 1.6×	80	1.6k
Hee‐Kyung Lee United States	15	398 0.6×	299 0.4×	16 0.2×	42 0.6×	14 0.4×	29	574
Tsegaye Dabi United States	13	1.4k 2.0×	1.1k 1.6×	78 1.0×	175 2.4×	19 0.6×	15	1.7k
O. E. Nelson United States	19	858 1.2×	579 0.8×	44 0.6×	103 1.4×	51 1.5×	39	1.3k
Christian Heintzen United Kingdom	15	1.0k 1.4×	676 1.0×	46 0.6×	20 0.3×	241 7.3×	20	1.3k
Dragica Blazevic Germany	8	1.8k 2.6×	1.6k 2.2×	21 0.3×	98 1.4×	100 3.0×	11	2.4k
Hironobu Wakimoto Japan	6	646 0.9×	525 0.8×	16 0.2×	304 4.2×	152 4.6×	6	994
Diana V. Dugas United States	10	1.3k 1.9×	1.1k 1.5×	111 1.4×	338 4.7×	22 0.7×	12	1.8k

Countries citing papers authored by Mutsuko Nakano

Since Specialization

Citations

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

Fields of papers citing papers by Mutsuko Nakano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mutsuko Nakano

This figure shows the co-authorship network connecting the top 25 collaborators of Mutsuko Nakano. A scholar is included among the top collaborators of Mutsuko Nakano 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 Mutsuko Nakano. Mutsuko Nakano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

Komiya, Reina, Hajime Ohyanagi, Mitsuru Niihama, et al.. (2014). Rice germline‐specific Argonaute MEL1 protein binds to phasiRNAs generated from more than 700 lincRNAs. The Plant Journal. 78(3). 385–397. 161 indexed citations

Nonomura, Ken–Ichi, Mitsugu Eiguchi, Mutsuko Nakano, et al.. (2011). A Novel RNA-Recognition-Motif Protein Is Required for Premeiotic G1/S-Phase Transition in Rice (Oryza sativa L.). PLoS Genetics. 7(1). e1001265–e1001265. 51 indexed citations

Nakano, Mutsuko, et al.. (2011). Fabrication of conductive paper coated with PEDOT: preparation and characterization. Journal of Coatings Technology and Research. 9(4). 467–474. 7 indexed citations

Nonomura, Ken–Ichi, Akane Morohoshi, Mutsuko Nakano, et al.. (2007). A Germ Cell–Specific Gene of theARGONAUTEFamily Is Essential for the Progression of Premeiotic Mitosis and Meiosis during Sporogenesis in Rice. The Plant Cell. 19(8). 2583–2594. 293 indexed citations

Nonomura, Ken–Ichi, Mutsuko Nakano, Mitsugu Eiguchi, Tadzunu Suzuki, & Nori Kurata. (2006). PAIR2 is essential for homologous chromosome synapsis in rice meiosis I. Journal of Cell Science. 119(2). 217–225. 120 indexed citations

TAKAYA, TAKAO, Mutsuko Nakano, Hideo Akutsu, et al.. (2006). Orexin‐A is composed of a highly conserved C‐terminal and a specific, hydrophilic N‐terminal region, revealing the structural basis of specific recognition by the orexin‐1 receptor. Journal of Peptide Science. 12(7). 443–454. 28 indexed citations

Nonomura, Ken–Ichi, Mutsuko Nakano, Toshiyuki Fukuda, et al.. (2004). The Novel Gene HOMOLOGOUS PAIRING ABERRATION IN RICE MEIOSIS1 of Rice Encodes a Putative Coiled-Coil Protein Required for Homologous Chromosome Pairing in Meiosis. The Plant Cell. 16(4). 1008–1020. 144 indexed citations

Yoshida, Toshio, Hirohisa Nesumi, Terutaka Yoshioka, et al.. (2003). New kumquat cultivar 'Puchimaru'. 3 indexed citations

Nakano, Mutsuko, Hirohisa Nesumi, Terutaka Yoshioka, & Toshio Yoshida. (2001). Segregation of Plants with Undeveloped Anthers among Hybrids Derived from the Seed Parent, 'Kiyomi'(Citrus unshiu*C. sinensis).. Journal of the Japanese Society for Horticultural Science. 70(5). 539–545. 19 indexed citations

10.

Ogawa, Kazunori, Toshio Yoshida, Hirohisa Nesumi, et al.. (2000). Evaluation of Auraptene Content in Citrus Fruits and Their Products. Journal of Agricultural and Food Chemistry. 48(5). 1763–1769. 45 indexed citations

11.

Doi, Kazuyuki, et al.. (2000). RFLP relationships of A-genome species in the genus Oryza. Journal of the Faculty of Agriculture Kyushu University. 45(1). 83–98. 18 indexed citations

12.

Zhang, Guoqing, Masaaki Kai, Mutsuko Nakano, & Yosuke Ohkura. (1991). Pre-columm fluorescence derivatization high-performance liquid chromatography of opioid peptides in rat brain and its use for enzymatic peptide characterization.. Chemical and Pharmaceutical Bulletin. 39(1). 126–129. 11 indexed citations

13.

Hayashi, Hideaki, et al.. (1990). Expression of a silkworm eclosion hormone gene in yeast. Biochemical and Biophysical Research Communications. 173(3). 1065–1071. 10 indexed citations

14.

Kai, Masaaki, Mutsuko Nakano, Guoqing Zhang, & Yosuke Ohkura. (1989). Determination of Leucine- and Methionine-Enkephalins in Rat Brains by High Performance Liquid Chromatography with Precolumn Fluorescence Derivatization. Analytical Sciences. 5(3). 289–293. 8 indexed citations

15.

Nakano, Mutsuko, Masaaki Kai, Masahiro Ohno, & Yosuke Ohkura. (1987). High-performance liquid chromatography of N-terminal tyrosine-containing oligopeptides by pre-column fluorescence derivatization with hydroxylamine, cobalt(II) and borate reagents. Journal of Chromatography A. 411. 305–311. 16 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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