Yoshiaki Nagamura

13.5k citations

77 papers · 9.1k indexed · 3 hit papers · h-index 44

Plant Science top 0.05%
Molecular Biology top 2%
Genetics top 0.5%
Agronomy and Crop Science top 2%
Ecology, Evolution, Behavior and Systematics top 5%

Co-authors: Masahiro Yano Yutaka Sato Takuji Sasaki Baltazar A. Antonio Hinako Takehisa Ritsuko Motoyama Naoki Yamaji Jian Feng
Topics: Genetic Mapping and Diversity in Plants and Animals (22 papers)Plant Molecular Biology Research (16 papers)Genomics and Phylogenetic Studies (13 papers)
Cited by: Plant Science Genetics Molecular Biology
Journals: Cell Proceedings of the National Academy of Sciences Nucleic Acids Research
Partner nations: Japan United States China

In The Last Decade

Yoshiaki Nagamura

77 papers receiving 8.8k 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.

Hd1, a Major Photoperiod Sensitivity Quantitative Trait Locus in Rice, Is Closely Related to the Arabidopsis Flowering Time Gene CONSTANS

2000 1.3k citations Masahiro Yano, Yosuke Umehara et al. profile →
Control of root system architecture by DEEPER ROOTING 1 increases rice yield under drought conditions

2013 1.1k citations Yusaku Uga, Kazuhiko Sugimoto et al. Nature Genetics profile →
A High-Density Rice Genetic Linkage Map with 2275 Markers Using a Single F2 Population

1998 618 citations Yoshiaki Harushima, Masahiro Yano et al. profile →

Peers

Countries citing papers authored by Yoshiaki Nagamura

Since Specialization

Citations

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

Fields of papers citing papers by Yoshiaki Nagamura

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshiaki Nagamura

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiaki Nagamura. A scholar is included among the top collaborators of Yoshiaki Nagamura 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 Yoshiaki Nagamura. Yoshiaki Nagamura 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

#	Work	Indexed citations
1	Linear Energy Transfer-Dependent Change in Rice Gene Expression Profile after Heavy-Ion Beam Irradiation 2016 ·PLoS ONE ·Kotaro Ishii,Yusuke Kazama,Ryouhei Morita,Tomonari Hirano,Tokihiro Ikeda,(unknown),Yoriko Hayashi,Sumie Ohbu,Ritsuko Motoyama,Yoshiaki Nagamura,Tomoko Abe	12
2	Rice MEL2, the RNA recognition motif (RRM) protein, binds in vitro to meiosis-expressed genes containing U-rich RNA consensus sequences in the 3′-UTR 2015 ·Plant Molecular Biology ·Saori Miyazaki,Yutaka Sato,Tomoya Asano,Yoshiaki Nagamura,Ken–Ichi Nonomura	11
3	Global transcriptome profile of rice root in response to essential macronutrient deficiency 2013 ·Plant Signaling & Behavior ·Hinako Takehisa,Yutaka Sato,Baltazar A. Antonio,Yoshiaki Nagamura	58
4	Control of root system architecture by DEEPER ROOTING 1 increases rice yield under drought conditionsbreakdown → 2013 ·Nature Genetics ·Yusaku Uga,Kazuhiko Sugimoto,Satoshi Ogawa,Jagadish Rane,Manabu Ishitani,Naho Hara,Yuka Kitomi,Yoshiaki Inukai,Kazuko Ono,Noriko Kanno,Haruhiko Inoue,Hinako Takehisa,Ritsuko Motoyama,Yoshiaki Nagamura,Jian Wu,Takashi Matsumoto,Toshiyuki Takai,Kazutoshi Okuno,Masahiro Yano	1078
5	Roles of Pollen-Specific Boron Efflux Transporter, OsBOR4, in the Rice Fertilization Process 2013 ·Plant and Cell Physiology ·Nobuhiro Tanaka,Shimpei Uraguchi,Akihiro Saito,Masataka Kajikawa,Koji Kasai,Yutaka Sato,Yoshiaki Nagamura,Toru Fujiwara	46
6	Deciphering and Prediction of Transcriptome Dynamics under Fluctuating Field Conditions 2012 ·Cell ·Atsushi J. Nagano,Yutaka Sato,Motohiro Mihara,Baltazar A. Antonio,Ritsuko Motoyama,Hironori Itoh,Yoshiaki Nagamura,Takeshi Izawa	169
7	RiceXPro Version 3.0: expanding the informatics resource for rice transcriptome 2012 ·Nucleic Acids Research ·Yutaka Sato,Hinako Takehisa,(unknown),Hiroshi Minami,Nobukazu Namiki,Hiroshi Ikawa,Hajime Ohyanagi,Kazuhiko Sugimoto,Baltazar A. Antonio,Yoshiaki Nagamura	309
8	Comprehensive Network Analysis of Anther-Expressed Genes in Rice by the Combination of 33 Laser Microdissection and 143 Spatiotemporal Microarrays 2011 ·PLoS ONE ·Koichiro Aya,Go Suzuki,Keita Suwabe,Tokunori Hobo,Hirokazu Takahashi,Katsuhiro Shiono,Kentaro Yano,Nobuhiro Tsutsumi,Mikio Nakazono,Yoshiaki Nagamura,Makoto Matsuoka,Masao Watanabe	51
9	Genome‐wide transcriptome dissection of the rice root system: implications for developmental and physiological functions 2011 ·The Plant Journal ·Hinako Takehisa,Yutaka Sato,(unknown),Tomomi Abiko,Baltazar A. Antonio,(unknown),Hiroshi Minami,Nobukazu Namiki,Yoshiaki Inukai,Mikio Nakazono,Yoshiaki Nagamura	92
10	Field transcriptome revealed critical developmental and physiological transitions involved in the expression of growth potential in japonicarice 2011 ·BMC Plant Biology ·Yutaka Sato,Baltazar A. Antonio,Nobukazu Namiki,Ritsuko Motoyama,Kazuhiko Sugimoto,Hinako Takehisa,Hiroshi Minami,(unknown),Makoto Kusaba,Hirohiko Hirochika,Yoshiaki Nagamura	110
11	A method for obtaining high quality RNA from paraffin sections of plant tissues by laser microdissection 2010 ·Journal of Plant Research ·Hirokazu Takahashi,(unknown),Yutaka Sato,Katsuhiro Shiono,Tomomi Abiko,Nobuhiro Tsutsumi,Yoshiaki Nagamura,Naoko K. Nishizawa,Mikio Nakazono	96
12	Ectopic Overexpression of The Transcription Factor OsGLK1 Induces Chloroplast Development in Non-Green Rice Cells 2009 ·Plant and Cell Physiology ·Hidemitsu Nakamura,Masayuki Muramatsu,Makoto Hakata,Osamu Ueno,Yoshiaki Nagamura,Hirohiko Hirochika,Makoto Takano,Hiroaki Ichikawa	126
13	KAIKObase: An integrated silkworm genome database and data mining tool 2009 ·BMC Genomics ·Michihiko Shimomura,Hiroshi Minami,Yoshitaka Suetsugu,Hajime Ohyanagi,(unknown),Baltazar A. Antonio,Yoshiaki Nagamura,Keiko Kadono‐Okuda,Hideyuki Kajiwara,Hideki Sezutsu,Javaregowda Nagaraju,Marian R. Goldsmith,Qingyou Xia,Kimiko Yamamoto,Kazuei Mita	99
14	Characterization of an Elicitor-Induced Rice WRKY Gene,OsWRKY71 2008 ·Bioscience Biotechnology and Biochemistry ·Tetsuya Chujo,Tomoaki Kato,Kazunari Yamada,Ryota Takai,Chiharu Akimoto‐Tomiyama,Eiichi Minami,Yoshiaki Nagamura,Naoto Shibuya,Michiko Yasuda,Hideo Nakashita,Kenji Umemura,Atsushi Okada,Kazunori Okada,Hideaki Nojiri,Hisakazu Yamane	41
15	A genome-wide gain-of-function analysis of rice genes using the FOX-hunting system 2007 ·Plant Molecular Biology ·Hidemitsu Nakamura,Makoto Hakata,(unknown),Akio Miyao,Naoko Toki,Mariko Kajikawa,Jinhuan Pang,(unknown),(unknown),Seiichi Toki,Miki Fujita,Akiko Enju,Motoaki Seki,Miki Nakazawa,Takanari Ichikawa,Kazuo Shinozaki,Minami Matsui,Yoshiaki Nagamura,Hirohiko Hirochika,Hiroaki Ichikawa	87
16	RiceBLAST: A Comprehensive Homology Search for Rice Specific Sequences 2003 ·Proceedings Genome Informatics Workshop/Genome informatics ·Yoshiaki Nagamura,Baltazar A. Antonio,Hisataka Numa,(unknown),(unknown),(unknown),(unknown),Nana Matoba,Yūji Shimizu,(unknown),Takuji Sasaki,Kenichi Higo	1
17	RiceGAAS: An Automated Annotation System for Rice Genome 2001 ·Proceedings Genome Informatics Workshop/Genome informatics ·Hisataka Numa,Katsumi Sakata,Yoshiaki Nagamura,Baltazar A. Antonio,(unknown),Yūji Shimizu,(unknown),Takashi Matsumoto,Takuji Sasaki,Kenichi Higo	2
18	Arabidopsis–Rice: Will Colinearity Allow Gene Prediction Across the Eudicot–Monocot Divide? 1999 ·Genome Research ·Katrien M. Devos,James Beales,Yoshiaki Nagamura,Takuji Sasaki	83
19	Detection of segregation distortions in an indica-japonica rice cross using a high-resolution molecular map 1996 ·Theoretical and Applied Genetics ·Yoshiaki Harushima,N. Kurata,Masahiro Yano,Yoshiaki Nagamura,Takashi Sasaki,Y. Minobe,Masahiro Nakagahra	97
20	Identification of a YAC clone carrying the Xa-1 allele, a bacterial blight resistance gene in rice 1996 ·Theoretical and Applied Genetics ·Satomi Yoshimura,Yosuke Umehara,N. Kurata,Yoshiaki Nagamura,Takashi Sasaki,Y. Minobe,Nobuhisa Iwata	43

About Yoshiaki Nagamura

Yoshiaki Nagamura is a scholar working on Plant Science, Genetics and Molecular Biology, having authored 77 papers that have together received 9.1k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (22 papers), Plant Molecular Biology Research (16 papers) and Genomics and Phylogenetic Studies (13 papers). The work is most often cited by research in Plant Science (8.2k citations), Genetics (2.6k citations) and Molecular Biology (3.2k citations). Yoshiaki Nagamura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masahiro Yano, Yutaka Sato, Takuji Sasaki, Baltazar A. Antonio, Hinako Takehisa, Ritsuko Motoyama, Naoki Yamaji, Jian Feng, Yosuke Umehara and Kazuhiko Sugimoto. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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