Masatoshi Nakajima

12.0k total citations · 4 hit papers
154 papers, 9.3k citations indexed

About

Masatoshi Nakajima is a scholar working on Molecular Biology, Plant Science and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Masatoshi Nakajima has authored 154 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 60 papers in Plant Science and 19 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Masatoshi Nakajima's work include Plant Molecular Biology Research (39 papers), Plant Reproductive Biology (33 papers) and Receptor Mechanisms and Signaling (19 papers). Masatoshi Nakajima is often cited by papers focused on Plant Molecular Biology Research (39 papers), Plant Reproductive Biology (33 papers) and Receptor Mechanisms and Signaling (19 papers). Masatoshi Nakajima collaborates with scholars based in Japan, United States and Saudi Arabia. Masatoshi Nakajima's co-authors include Makoto Matsuoka, Miyako Ueguchi‐Tanaka, Victor J. Dzau, Isomaro Yamaguchi, Masatsugu Horiuchi, Ryuichi Morishita, Motoyuki Ashikari, Etsuko Katoh, Tsuyoshi Yokoi and Noriaki Shimada and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Masatoshi Nakajima

150 papers receiving 9.0k 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.

GIBBERELLIN INSENSITIVE DWARF1 encodes a soluble receptor for gibberellin

2005 995 citations Miyako Ueguchi‐Tanaka, Motoyuki Ashikari et al. profile →
Expression cloning of type 2 angiotensin II receptor reveals a unique class of seven-transmembrane receptors.

1993 657 citations Masatoshi Nakajima et al. profile →
Gene therapy inhibiting neointimal vascular lesion: in vivo transfer of endothelial cell nitric oxide synthase gene.

1995 618 citations Ryuichi Morishita, Masatoshi Nakajima et al. profile →
The angiotensin II type 2 (AT2) receptor antagonizes the growth effects of the AT1 receptor: gain-of-function study using gene transfer.

1995 576 citations Masatoshi Nakajima, Ryuichi Morishita et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masatoshi Nakajima Japan	40	5.1k	3.8k	1.8k	928	896	154	9.3k
André Bensadoun United States	50	3.8k 0.8×	511 0.1×	3.7k 2.1×	1.3k 1.4×	3.3k 3.7×	153	10.3k
Rosalind Coleman United States	68	8.6k 1.7×	625 0.2×	646 0.4×	4.3k 4.6×	1.4k 1.5×	197	15.3k
Hideki Sumimoto Japan	56	4.5k 0.9×	483 0.1×	874 0.5×	3.0k 3.2×	377 0.4×	177	10.3k
Dennis E. Vance Canada	69	8.5k 1.7×	416 0.1×	509 0.3×	3.1k 3.3×	2.1k 2.3×	238	16.4k
Yin Liang China	40	2.5k 0.5×	433 0.1×	359 0.2×	993 1.1×	1.5k 1.7×	160	5.5k
Hongyuan Yang Australia	53	6.3k 1.2×	522 0.1×	245 0.1×	1.9k 2.0×	336 0.4×	164	10.2k
Gph Leung Hong Kong	36	1.9k 0.4×	426 0.1×	282 0.2×	487 0.5×	301 0.3×	158	4.4k
Lisa Connolly United Kingdom	35	3.4k 0.7×	797 0.2×	264 0.1×	226 0.2×	244 0.3×	105	6.0k
Masakiyo Hosokawa Japan	39	2.5k 0.5×	532 0.1×	131 0.1×	918 1.0×	308 0.3×	156	6.7k
Robert A. Harris United States	65	7.1k 1.4×	237 0.1×	663 0.4×	3.9k 4.2×	717 0.8×	243	12.6k

Countries citing papers authored by Masatoshi Nakajima

Since Specialization

Citations

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

Fields of papers citing papers by Masatoshi Nakajima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masatoshi Nakajima

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

Miyamoto, Ayumi, M. Homma, Hirosato Takikawa, et al.. (2025). CYP722A1-mediated 16-hydroxylation of carlactonoic acid regulates the floral transition in Arabidopsis. Plant and Cell Physiology. 66(4). 645–657. 1 indexed citations

Chen, Jiazheng, Ikuo Takahashi, Masatoshi Nakajima, & Tadao Asami. (2024). Gibberellin action‐based strategies show promise in the control of Striga—A major threat to global agriculture. Plants People Planet. 7(2). 411–421. 3 indexed citations

Miyazaki, Sho, Hiroshi Kawaide, & Masatoshi Nakajima. (2024). Inactivation Pathway of Diterpenoid Regulator in the Moss Physcomitrium patens. Journal of Plant Growth Regulation. 43(8). 2937–2943. 1 indexed citations

Miyazaki, Sho, et al.. (2023). Chemical screening of inhibitors specific for MdDOX-Co that cause an apple columnar tree-shape. Bioscience Biotechnology and Biochemistry. 88(1). 63–69.

Takahashi, Ikuo, et al.. (2023). Small Molecules with Thiourea Skeleton Induce Ethylene Response in Arabidopsis. International Journal of Molecular Sciences. 24(15). 12420–12420. 2 indexed citations

Miyazaki, Sho, Kiyoshi Mashiguchi, Keisuke Inoue, et al.. (2023). Biosynthesis of gibberellin-related compounds modulates far-red light responses in the liverwort Marchantia polymorpha. The Plant Cell. 35(11). 4111–4132. 16 indexed citations

Nakajima, Masatoshi, et al.. (2023). Analysis of the effect of each plant hormone on the maturation of woodland strawberry fruit in auxin-induced parthenocarpic fruit. Bioscience Biotechnology and Biochemistry. 87(6). 592–604. 3 indexed citations

Nakajima, Masatoshi, Sho Miyazaki, & Hiroshi Kawaide. (2020). Hormonal Diterpenoids Distinct to Gibberellins Regulate Protonema Differentiation in the Moss Physcomitrium patens. Plant and Cell Physiology. 61(11). 1861–1868. 5 indexed citations

Watanabe, Daisuke, Ikuo Takahashi, Sho Miyazaki, et al.. (2020). The apple gene responsible for columnar tree shape reduces the abundance of biologically active gibberellin. The Plant Journal. 105(4). 1026–1034. 20 indexed citations

10.

Miyazaki, Sho, Kenji Tomita, Hisakazu Yamane, et al.. (2018). Characterization of a helminthosporic acid analog that is a selective agonist of gibberellin receptor. Bioorganic & Medicinal Chemistry Letters. 28(14). 2465–2470. 9 indexed citations

11.

Jiang, Kai, Ming Luo, Hidemitsu Nakamura, et al.. (2017). Chemical screening and development of novel gibberellin mimics. Bioorganic & Medicinal Chemistry Letters. 27(16). 3678–3682. 14 indexed citations

12.

Okada, Kazunori, Hiroshi Kawaide, Koji Miyamoto, et al.. (2016). HpDTC1, a Stress-Inducible Bifunctional Diterpene Cyclase Involved in Momilactone Biosynthesis, Functions in Chemical Defence in the Moss Hypnum plumaeforme. Scientific Reports. 6(1). 25316–25316. 27 indexed citations

13.

Miyazaki, Sho, Masahiro Natsume, Tadao Asami, et al.. (2015). Analysis of ent-kaurenoic acid by ultra-performance liquid chromatography-tandem mass spectrometry. Biochemistry and Biophysics Reports. 2. 103–107. 9 indexed citations

14.

Hayashi, Ken‐ichiro, Yuji Hiwatashi, Hiroshi Kawaide, et al.. (2010). Endogenous Diterpenes Derived from ent -Kaurene, a Common Gibberellin Precursor, Regulate Protonema Differentiation of the Moss Physcomitrella patens . PLANT PHYSIOLOGY. 153(3). 1085–1097. 87 indexed citations

15.

Kobayashi, Nozomi, Hiroaki Masuzaki, Tomohiro Tanaka, et al.. (2009). Index of the systemic balance of end products of glucocorticoid metabolism in fresh urine from humans. Obesity Research & Clinical Practice. 3(2). 53–63.

16.

Hirano, Ko, Masatoshi Nakajima, Kenji Asano, et al.. (2007). The GID1-Mediated Gibberellin Perception Mechanism Is Conserved in the Lycophyte Selaginella moellendorffii but Not in the Bryophyte Physcomitrella patens. The Plant Cell. 19(10). 3058–3079. 166 indexed citations

17.

Takemoto, Kenichi, et al.. (2003). Catalytic activities of cytochrome P450 enzymes and UDP-glucuronosyltransferases involved in drug metabolism in rat everted sacs and intestinal microsomes. Xenobiotica. 33(1). 43–55. 33 indexed citations

18.

Nakajima, Masatoshi, Kaoru Kobayashi, Noriaki Shimada, et al.. (1999). Activation of phenacetinO-deethylase activity byα-naphthoflavone in human liver microsomes. Xenobiotica. 29(9). 885–898. 22 indexed citations

19.

Hasegawa, Morifumi, Jun Zhang, Masatoshi Nakajima, et al.. (1995). Immunohistochemistry of Gibberellins in Rice Anthers. Bioscience Biotechnology and Biochemistry. 59(10). 1925–1929. 11 indexed citations

20.

Morishita, Ryuichi, et al.. (1993). Antisense oligonucleotides directed at cell cycle regulatory genes as strategy for restenosis therapy.. PubMed. 106. 54–61. 9 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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