June‐Sik Kim

3.2k total citations · 2 hit papers
32 papers, 1.5k citations indexed

About

June‐Sik Kim is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, June‐Sik Kim has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 14 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in June‐Sik Kim's work include Plant Molecular Biology Research (12 papers), Plant Stress Responses and Tolerance (10 papers) and Photosynthetic Processes and Mechanisms (7 papers). June‐Sik Kim is often cited by papers focused on Plant Molecular Biology Research (12 papers), Plant Stress Responses and Tolerance (10 papers) and Photosynthetic Processes and Mechanisms (7 papers). June‐Sik Kim collaborates with scholars based in Japan, South Korea and Sudan. June‐Sik Kim's co-authors include Kazuo Shinozaki, Kazuko Yamaguchi‐Shinozaki, Satoshi Kidokoro, Junya Mizoi, Hisashi Tsujimoto, Sang‐Uk Chon, Jun Nakajima, Kazuo Nakashima, Masanori Okamoto and Daisuke Todaka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Plant Cell.

In The Last Decade

June‐Sik Kim

30 papers receiving 1.5k citations

Hit Papers

Tuning water-use efficiency and drought tolerance in whea... 2019 2026 2021 2023 2019 2024 50 100 150 200

Peers

June‐Sik Kim
June‐Sik Kim
Citations per year, relative to June‐Sik Kim June‐Sik Kim (= 1×) peers Magdalena Julkowska

Countries citing papers authored by June‐Sik Kim

Since Specialization
Citations

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

Fields of papers citing papers by June‐Sik Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by June‐Sik Kim. 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 June‐Sik Kim. The network helps show where June‐Sik Kim may publish in the future.

Co-authorship network of co-authors of June‐Sik Kim

This figure shows the co-authorship network connecting the top 25 collaborators of June‐Sik Kim. A scholar is included among the top collaborators of June‐Sik Kim 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 June‐Sik Kim. June‐Sik Kim 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
1.
Kim, June‐Sik, Muneo Sato, Mikiko Kojima, et al.. (2025). Multiomics-based assessment of the impact of airflow on diverse plant callus cultures. Scientific Data. 12(1). 197–197.
2.
Kim, June‐Sik, Satoshi Kidokoro, Kazuko Yamaguchi‐Shinozaki, & Kazuo Shinozaki. (2024). Regulatory networks in plant responses to drought and cold stress. PLANT PHYSIOLOGY. 195(1). 170–189. 106 indexed citations breakdown →
3.
Nomura, Toshihisa, et al.. (2024). High‐efficiency genome editing by Cas12a ribonucleoprotein complex in Euglena gracilis. Microbial Biotechnology. 17(2). e14393–e14393. 8 indexed citations
4.
Kim, June‐Sik, Muneo Sato, Mikiko Kojima, et al.. (2024). Multi-omics signatures of diverse plant callus cultures. Plant Biotechnology. 41(3). 309–314. 1 indexed citations
5.
Taketa, Shin, June‐Sik Kim, Hidekazu Takahashi, et al.. (2023). Genomic traces of Japanese malting barley breeding in two modern high-quality cultivars, ‘Sukai Golden’ and ‘Sachiho Golden’. Breeding Science. 73(5). 435–444. 2 indexed citations
6.
Mega, Ryosuke, June‐Sik Kim, Hiroyuki Tanaka, et al.. (2023). Metabolic and transcriptomic profiling during wheat seed development under progressive drought conditions. Scientific Reports. 13(1). 15001–15001. 5 indexed citations
7.
Kim, June‐Sik, Yuki Sakamoto, Fuminori Takahashi, et al.. (2022). Arabidopsis TBP-ASSOCIATED FACTOR 12 ortholog NOBIRO6 controls root elongation with unfolded protein response cofactor activity. Proceedings of the National Academy of Sciences. 119(6). 14 indexed citations
8.
Kim, June‐Sik, Kotaro Takahagi, Komaki Inoue, et al.. (2022). Exome-wide variation in a diverse barley panel reveals genetic associations with ten agronomic traits in Eastern landraces. Journal of genetics and genomics. 50(4). 241–252. 4 indexed citations
9.
Kim, June‐Sik, Keiichi Mochida, & Kazuo Shinozaki. (2022). ER Stress and the Unfolded Protein Response: Homeostatic Regulation Coordinate Plant Survival and Growth. Plants. 11(23). 3197–3197. 12 indexed citations
10.
Kouzai, Yusuke, Megumi Watanabe, Akihiro Takahashi, et al.. (2022). Time-series transcriptome of Brachypodium distachyon during bacterial flagellin-induced pattern-triggered immunity. Frontiers in Plant Science. 13. 1004184–1004184. 4 indexed citations
11.
Kim, June‐Sik, Satoshi Kidokoro, Kazuo Shinozaki, & Kazuko Yamaguchi‐Shinozaki. (2020). DNA demethylase ROS1 prevents inheritable DREB1A/CBF3 repression by transgene-induced promoter methylation in the Arabidopsis ice1-1 mutant. Plant Molecular Biology. 104(6). 575–582. 10 indexed citations
12.
Kidokoro, Satoshi, et al.. (2020). DREB1A/CBF3 Is Repressed by Transgene-Induced DNA Methylation in the Arabidopsis ice1 -1 Mutant. The Plant Cell. 32(4). 1035–1048. 56 indexed citations
13.
Mega, Ryosuke, Fumitaka Abe, June‐Sik Kim, et al.. (2019). Tuning water-use efficiency and drought tolerance in wheat using abscisic acid receptors. Nature Plants. 5(2). 153–159. 234 indexed citations breakdown →
14.
Kim, June‐Sik, Masanori Okamoto, Kousuke Hanada, et al.. (2018). Efficient anchoring of alien chromosome segments introgressed into bread wheat by new Leymus racemosus genome-based markers. BMC Genetics. 19(1). 14 indexed citations
15.
Gorafi, Yasir Serag Alnor, et al.. (2018). A population of wheat multiple synthetic derivatives: an effective platform to explore, harness and utilize genetic diversity of Aegilops tauschii for wheat improvement. Theoretical and Applied Genetics. 131(8). 1615–1626. 46 indexed citations
16.
Yi, Gibum, et al.. (2018). MYB1 transcription factor is a candidate responsible for red root skin in radish (Raphanus sativus L.). PLoS ONE. 13(9). e0204241–e0204241. 19 indexed citations
17.
Morimoto, Kyoko, Naohiko Ohama, Satoshi Kidokoro, et al.. (2017). BPM-CUL3 E3 ligase modulates thermotolerance by facilitating negative regulatory domain-mediated degradation of DREB2A in Arabidopsis. Proceedings of the National Academy of Sciences. 114(40). E8528–E8536. 93 indexed citations
18.
Sano, Naoto, June‐Sik Kim, Yoshihiko Onda, et al.. (2017). RNA-Seq using bulked recombinant inbred line populations uncovers the importance of brassinosteroid for seed longevity after priming treatments. Scientific Reports. 7(1). 8095–8095. 38 indexed citations
19.
Kim, June‐Sik, Seungill Kim, Hosub Shin, et al.. (2015). De Novo Transcriptome Analysis to Identify Anthocyanin Biosynthesis Genes Responsible for Tissue-Specific Pigmentation in Zoysiagrass (Zoysia japonica Steud.). PLoS ONE. 10(4). e0124497–e0124497. 32 indexed citations
20.
Kim, June‐Sik, Junya Mizoi, Takuya Yoshida, et al.. (2011). An ABRE Promoter Sequence is Involved in Osmotic Stress-Responsive Expression of the DREB2A Gene, Which Encodes a Transcription Factor Regulating Drought-Inducible Genes in Arabidopsis. Plant and Cell Physiology. 52(12). 2136–2146. 237 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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