Nam‐Chon Paek

8.9k total citations · 1 hit paper
111 papers, 6.8k citations indexed

About

Nam‐Chon Paek is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Nam‐Chon Paek has authored 111 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 106 papers in Plant Science, 80 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Nam‐Chon Paek's work include Plant Molecular Biology Research (64 papers), Photosynthetic Processes and Mechanisms (42 papers) and Plant Gene Expression Analysis (42 papers). Nam‐Chon Paek is often cited by papers focused on Plant Molecular Biology Research (64 papers), Photosynthetic Processes and Mechanisms (42 papers) and Plant Gene Expression Analysis (42 papers). Nam‐Chon Paek collaborates with scholars based in South Korea, Japan and United States. Nam‐Chon Paek's co-authors include Yasuhito Sakuraba, Soo‐Cheul Yoo, Hee‐Jong Koh, Su-Hyun Han, Gynheung An, Sung‐Hwan Cho, Byoung‐Doo Lee, Ye‐Sol Kim, Kiyoon Kang and So‐Yon Park and has published in prestigious journals such as Nature Communications, Molecular Cell and The Plant Cell.

In The Last Decade

Nam‐Chon Paek

107 papers receiving 6.7k citations

Hit Papers

Phytochrome-interacting t... 2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Phytochrome-interacting transcription factors PIF4 and PIF5 induce leaf senescence in Arabidopsis
    2014 363 citations Yasuhito Sakuraba, Jinkil Jeong et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nam‐Chon Paek South Korea 44 6.1k 4.6k 652 193 177 111 6.8k
Tingdong Fu China 40 3.6k 0.6× 3.5k 0.8× 587 0.9× 129 0.7× 148 0.8× 206 4.8k
Yunyuan Xu China 47 5.9k 1.0× 3.8k 0.8× 806 1.2× 88 0.5× 149 0.8× 92 6.5k
Manu Agarwal India 31 6.0k 1.0× 3.9k 0.9× 271 0.4× 66 0.3× 128 0.7× 62 6.9k
Rongfeng Huang China 51 5.9k 1.0× 2.6k 0.6× 333 0.5× 81 0.4× 104 0.6× 108 6.4k
William Terzaghi United States 38 4.5k 0.7× 3.2k 0.7× 373 0.6× 59 0.3× 71 0.4× 72 5.3k
Karen E. Koch United States 42 6.6k 1.1× 2.4k 0.5× 319 0.5× 101 0.5× 372 2.1× 94 7.4k
Yanglin Ding China 20 5.5k 0.9× 3.3k 0.7× 224 0.3× 65 0.3× 108 0.6× 21 6.1k
Salma Balazadeh Germany 41 5.2k 0.8× 4.0k 0.9× 148 0.2× 146 0.8× 83 0.5× 77 6.0k
Zhibiao Ye China 47 5.5k 0.9× 4.2k 0.9× 241 0.4× 482 2.5× 54 0.3× 138 6.5k
Huazhong Shi United States 38 8.2k 1.3× 3.9k 0.9× 200 0.3× 51 0.3× 133 0.8× 92 9.0k

Countries citing papers authored by Nam‐Chon Paek

Since Specialization
Citations

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

Fields of papers citing papers by Nam‐Chon Paek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nam‐Chon Paek. 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 Nam‐Chon Paek. The network helps show where Nam‐Chon Paek may publish in the future.

Co-authorship network of co-authors of Nam‐Chon Paek

This figure shows the co-authorship network connecting the top 25 collaborators of Nam‐Chon Paek. A scholar is included among the top collaborators of Nam‐Chon Paek 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 Nam‐Chon Paek. Nam‐Chon Paek 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.
Kang, Kiyoon, et al.. (2024). Rice ONAC005-OsMADS50-OsMADS56 interaction downregulates OsLFL1 in promoting long-day-dependent flowering. The Crop Journal. 12(6). 1607–1618. 1 indexed citations
2.
3.
Cho, Sung‐Hwan, et al.. (2024). Rice ONAC016 promotes leaf senescence through abscisic acid signaling pathway involving OsNAP. The Crop Journal. 12(3). 709–720. 2 indexed citations
4.
5.
Lee, Nayoung, Hong Gil Lee, Moonseok Choi, et al.. (2024). ASYMMETRIC LEAVES1 promotes leaf hyponasty in Arabidopsis by light-mediated auxin signaling. PLANT PHYSIOLOGY. 197(1). 3 indexed citations
6.
Shim, Yejin, Seung‐A Baek, Jae Kwang Kim, et al.. (2023). Suppression of cuticular wax biosynthesis mediated by rice LOV KELCH REPEAT PROTEIN 2 supports a negative role in drought stress tolerance. Plant Cell & Environment. 46(5). 1504–1520. 13 indexed citations
7.
Lee, Byoung‐Doo, et al.. (2022). CONSTITUTIVE PHOTOMORPHOGENIC 1 promotes seed germination by destabilizing RGA-LIKE 2 in Arabidopsis. PLANT PHYSIOLOGY. 189(3). 1662–1676. 15 indexed citations
8.
Park, Young‐Joon, et al.. (2020). GIGANTEA Shapes the Photoperiodic Rhythms of Thermomorphogenic Growth in Arabidopsis. Molecular Plant. 13(3). 459–470. 54 indexed citations
9.
Kim, Suk‐Hwan, et al.. (2020). The Rice Basic Helix–Loop–Helix 79 (OsbHLH079) Determines Leaf Angle and Grain Shape. International Journal of Molecular Sciences. 21(6). 2090–2090. 30 indexed citations
10.
Sakuraba, Yasuhito, Su-Hyun Han, Suk‐Hwan Kim, et al.. (2020). Multilayered Regulation of Membrane-Bound ONAC054 Is Essential for Abscisic Acid-Induced Leaf Senescence in Rice. The Plant Cell. 32(3). 630–649. 89 indexed citations
11.
Piao, Weilan, Suk‐Hwan Kim, Byoung‐Doo Lee, et al.. (2019). Rice transcription factor OsMYB102 delays leaf senescence by down-regulating abscisic acid accumulation and signaling. Journal of Experimental Botany. 70(10). 2699–2715. 72 indexed citations
12.
Sakuraba, Yasuhito, Eunyoung Kim, Su-Hyun Han, et al.. (2017). Rice Phytochrome-Interacting Factor-Like1 (OsPIL1) is involved in the promotion of chlorophyll biosynthesis through feed-forward regulatory loops. Journal of Experimental Botany. 68(15). 4103–4114. 51 indexed citations
13.
Lee, Byoung‐Doo, Mi Ri Kim, Min‐Young Kang, et al.. (2017). The F-box protein FKF1 inhibits dimerization of COP1 in the control of photoperiodic flowering. Nature Communications. 8(1). 2259–2259. 84 indexed citations
14.
Sakuraba, Yasuhito, Jinkil Jeong, Min‐Young Kang, et al.. (2014). Phytochrome-interacting transcription factors PIF4 and PIF5 induce leaf senescence in Arabidopsis. Nature Communications. 5(1). 4636–4636. 363 indexed citations breakdown →
15.
16.
Park, Jong-Ho, Sung‐Hwan Cho, Soo‐Cheul Yoo, et al.. (2011). The rice bright green leaf (bgl) locus encodes OsRopGEF10, which activates the development of small cuticular papillae on leaf surfaces. Plant Molecular Biology. 77(6). 631–641. 17 indexed citations
17.
Paek, Nam‐Chon, et al.. (2008). Development of a Core Set of Korean Soybean Landraces [Glycine max (L.) Merr.]. Journal of Crop Science and Biotechnology. 11(3). 157–162. 6 indexed citations
18.
Park, Hyung‐Ho, et al.. (2001). Regional Distribution of Barley Yellow Dwarf Virus Strains in Korea and Identification of Resistant Wheat. The Korean Journal of Crop Science. 46(1). 57–63. 2 indexed citations
19.
Kim, Yul-Ho, et al.. (2001). Detection and Classification of Barley Yellow Dwarf Virus Strains Using RT-PCR. The Korean Journal of Crop Science. 46(1). 53–56. 3 indexed citations
20.
Paek, Nam‐Chon, et al.. (1997). Classification and characterization of the viviparous mutants of maize (Zea mays L.). Maydica. 42(4). 371–378. 4 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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