Mariko Ohnuma

762 total citations
11 papers, 559 citations indexed

About

Mariko Ohnuma is a scholar working on Plant Science, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Mariko Ohnuma has authored 11 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 8 papers in Molecular Biology and 1 paper in Biomedical Engineering. Recurrent topics in Mariko Ohnuma's work include Plant tissue culture and regeneration (5 papers), Chromosomal and Genetic Variations (4 papers) and Plant Molecular Biology Research (4 papers). Mariko Ohnuma is often cited by papers focused on Plant tissue culture and regeneration (5 papers), Chromosomal and Genetic Variations (4 papers) and Plant Molecular Biology Research (4 papers). Mariko Ohnuma collaborates with scholars based in Japan, United States and Belgium. Mariko Ohnuma's co-authors include Akira Iwase, Momoko Ikeuchi, Keiko Sugimoto, Bart Rymen, Hirofumi Harashima, Erich Grotewold, Masaru Nakata, Tetsuya Kurata, Shinichiro Komaki and Masaru Ohme‐Takagi and has published in prestigious journals such as PLoS ONE, The Plant Cell and Scientific Reports.

In The Last Decade

Mariko Ohnuma

11 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mariko Ohnuma Japan 8 505 469 20 20 16 11 559
Zongxiang Zhan China 12 457 0.9× 244 0.5× 16 0.8× 10 0.5× 13 0.8× 32 504
Kai‐Dong Xie China 12 311 0.6× 284 0.6× 25 1.3× 11 0.6× 33 2.1× 36 395
Duncan Coleman Japan 4 365 0.7× 363 0.8× 10 0.5× 6 0.3× 25 1.6× 4 431
Julia Hilscher Austria 9 237 0.5× 298 0.6× 26 1.3× 8 0.4× 10 0.6× 10 366
Z.-M. Cheng United States 8 318 0.6× 288 0.6× 10 0.5× 26 1.3× 7 0.4× 16 390
Hailiang Cheng China 12 391 0.8× 205 0.4× 21 1.1× 7 0.3× 9 0.6× 40 443
Shuangzhan Huang China 12 502 1.0× 344 0.7× 37 1.9× 6 0.3× 7 0.4× 13 577
Nick Vangheluwe Belgium 7 263 0.5× 220 0.5× 17 0.8× 7 0.3× 9 0.6× 11 322
Chunyu Zhang China 15 535 1.1× 336 0.7× 71 3.5× 11 0.6× 10 0.6× 28 603
Fuguang Li China 8 450 0.9× 293 0.6× 14 0.7× 6 0.3× 15 0.9× 17 482

Countries citing papers authored by Mariko Ohnuma

Since Specialization
Citations

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

Fields of papers citing papers by Mariko Ohnuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariko Ohnuma

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

All Works

11 of 11 papers shown
1.
Ohnuma, Mariko, Kosuke Ito, Kenji Asano, et al.. (2023). Peculiar properties of tuber starch in a potato mutant lacking the α-glucan water dikinase 1 gene <i>GWD1</i> created by targeted mutagenesis using the CRISPR/dMac3-Cas9 system. Plant Biotechnology. 40(3). 219–227. 8 indexed citations
2.
Ohnuma, Mariko, et al.. (2022). Procedure for the efficient acquisition of progeny seeds from crossed potato plants grafted onto tomato. Plant Biotechnology. 39(2). 195–197. 3 indexed citations
3.
Ohnuma, Mariko, Hiroshi Teramura, Kenji Asano, et al.. (2021). Creation of a potato mutant lacking the starch branching enzyme gene <i>StSBE3</i> that was generated by genome editing using the CRISPR/dMac3-Cas9 system. Plant Biotechnology. 38(3). 345–353. 20 indexed citations
4.
Ohnuma, Mariko, Hiroshi Teramura, & Hiroaki Shimada. (2020). A simple method to establish an efficient medium suitable for potato regeneration. Plant Biotechnology. 37(1). 25–30. 9 indexed citations
5.
6.
Kusano, Hiroaki, Mariko Ohnuma, Kenji Asano, et al.. (2018). Establishment of a modified CRISPR/Cas9 system with increased mutagenesis frequency using the translational enhancer dMac3 and multiple guide RNAs in potato. Scientific Reports. 8(1). 13753–13753. 69 indexed citations
7.
Iwase, Akira, Hirofumi Harashima, Momoko Ikeuchi, et al.. (2016). WIND1 Promotes Shoot Regeneration through Transcriptional Activation of ENHANCER OF SHOOT REGENERATION1 in Arabidopsis. The Plant Cell. 29(1). 54–69. 177 indexed citations
8.
Iwase, Akira, Satoko Nonaka, Momoko Ikeuchi, et al.. (2015). WIND1-based acquisition of regeneration competency in Arabidopsis and rapeseed. Journal of Plant Research. 128(3). 389–397. 88 indexed citations
9.
Ikeuchi, Momoko, Akira Iwase, Bart Rymen, et al.. (2015). PRC2 represses dedifferentiation of mature somatic cells in Arabidopsis. Nature Plants. 1(7). 15089–15089. 141 indexed citations
10.
Iwase, Akira, Nobutaka Mitsuda, Momoko Ikeuchi, et al.. (2013). ArabidopsisWIND1 induces callus formation in rapeseed, tomato, and tobacco. Plant Signaling & Behavior. 8(12). e27432–e27432. 36 indexed citations
11.

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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2026