Sumie Ohbu

525 total citations
14 papers, 400 citations indexed

About

Sumie Ohbu is a scholar working on Plant Science, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Sumie Ohbu has authored 14 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 10 papers in Molecular Biology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Sumie Ohbu's work include Plant Genetic and Mutation Studies (11 papers), Chromosomal and Genetic Variations (4 papers) and Plant tissue culture and regeneration (4 papers). Sumie Ohbu is often cited by papers focused on Plant Genetic and Mutation Studies (11 papers), Chromosomal and Genetic Variations (4 papers) and Plant tissue culture and regeneration (4 papers). Sumie Ohbu collaborates with scholars based in Japan and United States. Sumie Ohbu's co-authors include Yusuke Kazama, Tomoko Abe, Tomonari Hirano, Yuki Shirakawa, Kotaro Ishii, Yoriko Hayashi, Hiroyuki Saito, Yang Liu, Yang Liu and Nobuhisa Fukunishi and has published in prestigious journals such as PLoS ONE, The Plant Journal and Frontiers in Plant Science.

In The Last Decade

Sumie Ohbu

13 papers receiving 392 citations

Peers

Sumie Ohbu
Sumie Ohbu
Citations per year, relative to Sumie Ohbu Sumie Ohbu (= 1×) peers Bongkoj Boonburapong

Countries citing papers authored by Sumie Ohbu

Since Specialization
Citations

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

Fields of papers citing papers by Sumie Ohbu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumie Ohbu

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

All Works

14 of 14 papers shown
1.
Ishii, Kotaro, Yusuke Kazama, Tomonari Hirano, et al.. (2024). Genomic view of heavy-ion-induced deletions associated with distribution of essential genes in Arabidopsis thaliana. Frontiers in Plant Science. 15. 1352564–1352564. 2 indexed citations
2.
Sasaki, Shun, Hiroki Ishikawa, Yuki Fujii, et al.. (2021). Arabidopsis EGY1 Is Critical for Chloroplast Development in Leaf Epidermal Guard Cells. Plants. 10(6). 1254–1254. 7 indexed citations
3.
Kazama, Yusuke, Kotaro Ishii, Kengo Kanamaru, et al.. (2021). An Argon-Ion-Induced Pale Green Mutant of Arabidopsis Exhibiting Rapid Disassembly of Mesophyll Chloroplast Grana. Plants. 10(5). 848–848. 4 indexed citations
4.
Kazama, Yusuke, Kotaro Ishii, Sumie Ohbu, et al.. (2021). Double Mutant Analysis with the Large Flower Mutant, ohbana1, to Explore the Regulatory Network Controlling the Flower and Seed Sizes in Arabidopsis thaliana. Plants. 10(9). 1881–1881. 3 indexed citations
6.
Ishii, Kotaro, Yusuke Kazama, Ryouhei Morita, et al.. (2016). Linear Energy Transfer-Dependent Change in Rice Gene Expression Profile after Heavy-Ion Beam Irradiation. PLoS ONE. 11(7). e0160061–e0160061. 12 indexed citations
7.
Kazama, Yusuke, Tomoko Hirano, Kazuo Ishii, et al.. (2016). Rapid screening of heavy-ion-induced large deletion mutants by using quantitative real-time PCR in Arabidopsis thaliana. 38. 1 indexed citations
8.
Hirano, Tomonari, Yusuke Kazama, Kotaro Ishii, et al.. (2015). Comprehensive identification of mutations induced by heavy‐ion beam irradiation in Arabidopsis thaliana. The Plant Journal. 82(1). 93–104. 71 indexed citations
9.
Kazama, Yusuke, et al.. (2013). Effect of high-LET Fe-ion beam irradiation on mutation induction in <i>Arabidopsis thaliana</i>. Genes & Genetic Systems. 88(3). 189–197. 21 indexed citations
10.
Kazama, Yusuke, M Fujiwara, Hinako Takehisa, et al.. (2012). Characterization of a heavy-ion induced white flower mutant of allotetraploid Nicotiana tabacum. Plant Cell Reports. 32(1). 11–19. 23 indexed citations
11.
Hirano, Tomonari, Yusuke Kazama, Sumie Ohbu, et al.. (2012). Molecular nature of mutations induced by high-LET irradiation with argon and carbon ions in Arabidopsis thaliana. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 735(1-2). 19–31. 53 indexed citations
12.
Kazama, Yusuke, Tomonari Hirano, Sumie Ohbu, et al.. (2012). Rapid evaluation of effective linear energy transfer in heavy-ion mutagenesis of Arabidopsis thaliana. Plant Biotechnology. 29(5). 441–445. 20 indexed citations
13.
Kazama, Yusuke, Tomonari Hirano, Hiroyuki Saito, et al.. (2011). Characterization of highly efficient heavy-ion mutagenesis in Arabidopsis thaliana. BMC Plant Biology. 11(1). 161–161. 114 indexed citations
14.
Kazama, Yusuke, Hiroyuki Saito, Yoriko Hayashi, et al.. (2007). EFFECTS OF ION BEAM IRRADIATION ON MUTATION INDUCTION IN ARABIDOPSIS THALIANA.

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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