Mitsuhiro Matsuo

1.2k total citations
47 papers, 929 citations indexed

About

Mitsuhiro Matsuo is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Mitsuhiro Matsuo has authored 47 papers receiving a total of 929 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Plant Science, 17 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Mitsuhiro Matsuo's work include Weed Control and Herbicide Applications (12 papers), Allelopathy and phytotoxic interactions (11 papers) and Photosynthetic Processes and Mechanisms (8 papers). Mitsuhiro Matsuo is often cited by papers focused on Weed Control and Herbicide Applications (12 papers), Allelopathy and phytotoxic interactions (11 papers) and Photosynthetic Processes and Mechanisms (8 papers). Mitsuhiro Matsuo collaborates with scholars based in Japan, China and Vietnam. Mitsuhiro Matsuo's co-authors include Eiji Tsuzuki, Junichi Obokata, Hiroyuki Terao, Tran Dang Xuan, Tran Dang Khanh, Ryo Yamauchi, Yuki Ito, Dongzhi Lin, Nguyen Huu Hong and Yanjun Dong and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The Plant Cell.

In The Last Decade

Mitsuhiro Matsuo

43 papers receiving 852 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsuhiro Matsuo Japan 18 721 316 103 75 40 47 929
Guangyuan Lu China 20 1.0k 1.4× 462 1.5× 81 0.8× 48 0.6× 15 0.4× 54 1.3k
Christos Kissoudis Netherlands 14 1.0k 1.4× 532 1.7× 71 0.7× 60 0.8× 46 1.1× 19 1.2k
Vokkaliga T. Harshavardhan Germany 10 980 1.4× 389 1.2× 82 0.8× 50 0.7× 12 0.3× 11 1.1k
Guillaume Ménard United Kingdom 11 940 1.3× 452 1.4× 28 0.3× 72 1.0× 67 1.7× 19 1.2k
Yaqi Zhang China 14 457 0.6× 307 1.0× 61 0.6× 40 0.5× 15 0.4× 43 643
Mi‐Jeong Jeong South Korea 22 1.3k 1.8× 695 2.2× 43 0.4× 67 0.9× 22 0.6× 56 1.5k
Graham R. Teakle United Kingdom 19 1.3k 1.8× 884 2.8× 223 2.2× 71 0.9× 48 1.2× 37 1.6k
Songquan Song China 22 1.1k 1.5× 529 1.7× 34 0.3× 70 0.9× 25 0.6× 81 1.3k
Maria Grazia Annunziata Germany 17 1.1k 1.6× 474 1.5× 43 0.4× 69 0.9× 11 0.3× 25 1.3k
Nita Lakra India 14 796 1.1× 324 1.0× 37 0.4× 44 0.6× 24 0.6× 36 941

Countries citing papers authored by Mitsuhiro Matsuo

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuhiro Matsuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuhiro Matsuo

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuhiro Matsuo. A scholar is included among the top collaborators of Mitsuhiro Matsuo 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 Mitsuhiro Matsuo. Mitsuhiro Matsuo 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
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Kudo, H, Mitsuhiro Matsuo, Soichirou Satoh, et al.. (2021). Cryptic promoter activation occurs by at least two different mechanisms in the Arabidopsis genome. The Plant Journal. 108(1). 29–39. 5 indexed citations
3.
Hata, Takayuki, et al.. (2021). Kozak Sequence Acts as a Negative Regulator for De Novo Transcription Initiation of Newborn Coding Sequences in the Plant Genome. Molecular Biology and Evolution. 38(7). 2791–2803. 6 indexed citations
4.
Tanigaki, Shinji, Akira Uchino, Mitsuhiro Matsuo, et al.. (2021). Gene expression shapes the patterns of parallel evolution of herbicide resistance in the agricultural weed Monochoria vaginalis. New Phytologist. 232(2). 928–940. 14 indexed citations
5.
Hata, Takayuki, et al.. (2021). De novo activated transcription of inserted foreign coding sequences is inheritable in the plant genome. PLoS ONE. 16(6). e0252674–e0252674. 1 indexed citations
6.
Matsuo, Mitsuhiro, Soichirou Satoh, Motomichi Matsuzaki, et al.. (2018). Characterization of spliced leader trans-splicing in a photosynthetic rhizarian amoeba, Paulinella micropora, and its possible role in functional gene transfer. PLoS ONE. 13(7). e0200961–e0200961. 7 indexed citations
7.
Vahabi, Khabat, Michael Reichelt, Sandra S. Scholz, et al.. (2018). Alternaria Brassicae Induces Systemic Jasmonate Responses in Arabidopsis Which Travel to Neighboring Plants via a Piriformsopora Indica Hyphal Network and Activate Abscisic Acid Responses. Frontiers in Plant Science. 9. 626–626. 25 indexed citations
8.
Matsuo, Mitsuhiro, Joy Michal Johnson, Ayaka Hieno, et al.. (2015). High REDOX RESPONSIVE TRANSCRIPTION FACTOR1 Levels Result in Accumulation of Reactive Oxygen Species in Arabidopsis thaliana Shoots and Roots. Molecular Plant. 8(8). 1253–1273. 88 indexed citations
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Yoshida, Kōji, et al.. (2006). Effect of emergence times and shading conditions on growth, seed production, and seed size of tropical spiderwort (Commelina benghalensis L.). Journal of Weed Science and Technology. 51(3). 139–145. 5 indexed citations
13.
Ohta, Etsuro, Manabu Funayama, Hiroshi Ichinose, et al.. (2006). Novel Mutations in the Guanosine Triphosphate Cyclohydrolase 1 Gene Associated With DYT5 Dystonia. Archives of Neurology. 63(11). 1605–1605. 4 indexed citations
14.
Matsuo, Mitsuhiro, Yuki Ito, Ryo Yamauchi, & Junichi Obokata. (2005). The Rice Nuclear Genome Continuously Integrates, Shuffles, and Eliminates the Chloroplast Genome to Cause Chloroplast–Nuclear DNA Flux. The Plant Cell. 17(3). 665–675. 129 indexed citations
15.
Dong, Yanjun, Eiji Tsuzuki, Dongzhi Lin, et al.. (2005). Molecular Genetic Analysis of QTLs for Ferulic Acid Content in Dried Straw of Rice (Oryza sativa L.). Biochemical Genetics. 43(1-2). 25–34. 6 indexed citations
16.
Matsuo, Mitsuhiro, et al.. (2002). Effects of Bensulfuron-methyl and Benthiocarb on growth and adhering strength to paddy soil surface of juvenile Monochoria vaginalis seedlings.. Journal of Weed Science and Technology. 47(1). 1–6. 3 indexed citations
17.
Matsuo, Mitsuhiro & Junichi Obokata. (2002). Dual Roles of Photosynthetic Electron Transport in Photosystem I Biogenesis: Light Induction of mRNAs and Chromatic Regulation at Post-mRNA Level. Plant and Cell Physiology. 43(10). 1189–1197. 12 indexed citations
18.
Matsuo, Mitsuhiro, et al.. (2000). Role of Hypocotyl Hairs in Adhering Strength and Establishment of Juvenile Seedlings of Monochoria vaginalis to Different Seed Beds.. Journal of Weed Science and Technology. 45(3). 190–199. 4 indexed citations
19.
Matsuo, Mitsuhiro, et al.. (1997). Distribution of Heteranthera limosa (Sw.) Willd. in Paddy Areas of the Southern Part of Okayama Prefecture in 1995 about 20 Years after Invasion.. Journal of Weed Science and Technology. 42(3). 221–226. 1 indexed citations
20.
Matsuo, Mitsuhiro, et al.. (1997). Development of Hypocotyl Hairs in Juvenile Seedlings of Monochoria vaginalis.. Journal of Weed Science and Technology. 42(3). 233–239. 1 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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