Yoo‐Sun Noh

4.4k total citations · 1 hit paper
39 papers, 3.5k citations indexed

About

Yoo‐Sun Noh is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Yoo‐Sun Noh has authored 39 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Plant Science, 35 papers in Molecular Biology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Yoo‐Sun Noh's work include Plant Molecular Biology Research (35 papers), Plant Reproductive Biology (19 papers) and Plant Gene Expression Analysis (15 papers). Yoo‐Sun Noh is often cited by papers focused on Plant Molecular Biology Research (35 papers), Plant Reproductive Biology (19 papers) and Plant Gene Expression Analysis (15 papers). Yoo‐Sun Noh collaborates with scholars based in South Korea, United States and Ethiopia. Yoo‐Sun Noh's co-authors include Richard M. Amasino, Bosl Noh, Edward Himelblau, Betânia Ferraz Quirino, Scott D. Michaels, Hae-Ryong Song, Soon‐Ki Han, Martín Vila Petroff, Dana E. Martínez and Marisa S. Otegui and has published in prestigious journals such as Nucleic Acids Research, The EMBO Journal and PLoS ONE.

In The Last Decade

Yoo‐Sun Noh

38 papers receiving 3.4k citations

Hit Papers

Molecular aspects of leaf senescence 2000 2026 2008 2017 2000 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoo‐Sun Noh South Korea 26 3.2k 2.6k 105 103 63 39 3.5k
Ulrike Zentgraf Germany 28 3.3k 1.0× 2.8k 1.1× 86 0.8× 73 0.7× 57 0.9× 51 3.7k
Américo Rodrigues Spain 16 3.2k 1.0× 1.5k 0.6× 52 0.5× 64 0.6× 50 0.8× 19 3.6k
Liu‐Min Fan China 22 2.9k 0.9× 2.1k 0.8× 158 1.5× 139 1.3× 53 0.8× 54 3.4k
Takanari Ichikawa Japan 29 2.8k 0.9× 2.1k 0.8× 145 1.4× 65 0.6× 102 1.6× 47 3.2k
Yongfeng Guo China 27 3.5k 1.1× 2.9k 1.1× 66 0.6× 104 1.0× 66 1.0× 75 4.0k
Sona Pandey United States 30 2.7k 0.8× 1.9k 0.7× 156 1.5× 77 0.7× 60 1.0× 73 3.2k
Yasuhito Sakuraba Japan 33 3.3k 1.0× 2.4k 0.9× 99 0.9× 87 0.8× 32 0.5× 58 3.7k
Trevor M. Nolan United States 23 3.2k 1.0× 2.0k 0.8× 102 1.0× 69 0.7× 25 0.4× 34 3.7k
Daisuke Todaka Japan 21 4.1k 1.3× 2.6k 1.0× 253 2.4× 61 0.6× 76 1.2× 31 4.5k
Miguel González‐Guzmán Spain 30 4.0k 1.2× 1.9k 0.7× 47 0.4× 113 1.1× 38 0.6× 53 4.4k

Countries citing papers authored by Yoo‐Sun Noh

Since Specialization
Citations

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

Fields of papers citing papers by Yoo‐Sun Noh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoo‐Sun Noh. 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 Yoo‐Sun Noh. The network helps show where Yoo‐Sun Noh may publish in the future.

Co-authorship network of co-authors of Yoo‐Sun Noh

This figure shows the co-authorship network connecting the top 25 collaborators of Yoo‐Sun Noh. A scholar is included among the top collaborators of Yoo‐Sun Noh 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 Yoo‐Sun Noh. Yoo‐Sun Noh 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.
Khan, Irfan Ullah, et al.. (2024). Genomic overview of INA-induced NPR1 targeting and transcriptional cascades in Arabidopsis. Nucleic Acids Research. 52(7). 3572–3588. 4 indexed citations
2.
Noh, Yoo‐Sun, et al.. (2024). Efficient regeneration of protoplasts from Solanum lycopersicum cultivar Micro-Tom. Biology Methods and Protocols. 9(1). bpae008–bpae008. 4 indexed citations
3.
Noh, Bosl, et al.. (2022). Negative evidence on the transgenerational inheritance of defense priming in Arabidopsis thaliana. BMB Reports. 55(7). 342–347. 7 indexed citations
4.
Noh, Yoo‐Sun, et al.. (2022). REGENOMICS: A web-based application for plant REGENeration-associated transcriptOMICS analyses. Computational and Structural Biotechnology Journal. 20. 3234–3247. 3 indexed citations
5.
Kim, Suk Weon, et al.. (2021). Optimization of protoplast regeneration in the model plant Arabidopsis thaliana. Plant Methods. 17(1). 21–21. 45 indexed citations
6.
Choi, Myunghwan, et al.. (2020). De Novo Shoot Regeneration Controlled by HEN1 and TCP3/4 in Arabidopsis. Plant and Cell Physiology. 61(9). 1600–1613. 24 indexed citations
7.
8.
Kang, Min‐Young, Soo‐Cheul Yoo, Byoung‐Doo Lee, et al.. (2015). Negative regulatory roles of DE-ETIOLATED1 in flowering time inArabidopsis. Scientific Reports. 5(1). 9728–9728. 15 indexed citations
9.
Kim, Jung‐Eun, June Hyun Park, Chan Ju Lim, et al.. (2012). Small RNA and transcriptome deep sequencing proffers insight into floral gene regulation in Rosa cultivars. BMC Genomics. 13(1). 657–657. 49 indexed citations
10.
Cho, Jungnam, Jee-Youn Ryu, Young‐Min Jeong, et al.. (2012). Control of Seed Germination by Light-Induced Histone Arginine Demethylation Activity. Developmental Cell. 22(4). 736–748. 125 indexed citations
11.
Song, Hae‐Ryong, Soon‐Ki Han, Muho Han, et al.. (2012). HDA19 is required for the repression of salicylic acid biosynthesis and salicylic acid‐mediated defense responses in Arabidopsis. The Plant Journal. 71(1). 135–146. 151 indexed citations
12.
Hyun, Y., et al.. (2011). Identification of regulators required for the reactivation of FLOWERING LOCUS C during Arabidopsis reproduction. Planta. 234(6). 1237–1250. 23 indexed citations
13.
Ko, Jonghyun, Irina Mitina, Yosuke Tamada, et al.. (2010). Growth habit determination by the balance of histone methylation activities in Arabidopsis. The EMBO Journal. 29(18). 3208–3215. 78 indexed citations
14.
Otegui, Marisa S., Yoo‐Sun Noh, Dana E. Martínez, et al.. (2005). Senescence‐associated vacuoles with intense proteolytic activity develop in leaves of Arabidopsis and soybean. The Plant Journal. 41(6). 831–844. 255 indexed citations
15.
Noh, Bosl, Seunghee Lee, Hyun‐Jin Kim, et al.. (2004). Divergent Roles of a Pair of Homologous Jumonji/Zinc-Finger–Class Transcription Factor Proteins in the Regulation of Arabidopsis Flowering Time. The Plant Cell. 16(10). 2601–2613. 228 indexed citations
16.
Doyle, Mark R., et al.. (2004). HUA2 is required for the expression of floral repressors in Arabidopsis thaliana. The Plant Journal. 41(3). 376–385. 76 indexed citations
17.
Noh, Yoo‐Sun & Richard M. Amasino. (2003). PIE1 , an ISWI Family Gene, Is Required for FLC Activation and Floral Repression in Arabidopsis. The Plant Cell. 15(7). 1671–1682. 217 indexed citations
18.
Quirino, Betânia Ferraz, Yoo‐Sun Noh, Edward Himelblau, & Richard M. Amasino. (2000). Molecular aspects of leaf senescence. Trends in Plant Science. 5(7). 278–282. 528 indexed citations breakdown →
19.
Noh, Yoo‐Sun & Richard M. Amasino. (1999). Regulation of developmental senescence is conserved between Arabidopsis and Brassica napus. Plant Molecular Biology. 41(2). 195–206. 79 indexed citations
20.
Kang, Hong‐Gyu, Yoo‐Sun Noh, Yong-Yoon Chung, et al.. (1995). Phenotypic alterations of petal and sepal by ectopic expression of a rice MADS box gene in tobacco. Plant Molecular Biology. 29(1). 1–10. 93 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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