Hee Joong Jeong

926 total citations
9 papers, 738 citations indexed

About

Hee Joong Jeong is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Hee Joong Jeong has authored 9 papers receiving a total of 738 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Molecular Biology and 1 paper in Genetics. Recurrent topics in Hee Joong Jeong's work include Plant Molecular Biology Research (7 papers), Plant Gene Expression Analysis (3 papers) and Plant Reproductive Biology (3 papers). Hee Joong Jeong is often cited by papers focused on Plant Molecular Biology Research (7 papers), Plant Gene Expression Analysis (3 papers) and Plant Reproductive Biology (3 papers). Hee Joong Jeong collaborates with scholars based in South Korea, United States and Germany. Hee Joong Jeong's co-authors include Gynheung An, Jakyung Yi, Ping Jin, Sichul Lee, Joohyun Lee, Yang‐Seok Lee, Mary Lou Guerinot, Sun A. Kim, Sang Chul Choi and Lae‐Hyeon Cho and has published in prestigious journals such as The Plant Journal, Plant Cell & Environment and Plant Molecular Biology.

In The Last Decade

Hee Joong Jeong

9 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hee Joong Jeong South Korea	8	684	351	182	26	25	9	738
Yonghan Xu China	7	708 1.0×	265 0.8×	92 0.5×	35 1.3×	37 1.5×	10	756
Runqing Yue China	15	687 1.0×	377 1.1×	63 0.3×	7 0.3×	12 0.5×	23	733
Pedro S. C. F. Rocha China	10	619 0.9×	282 0.8×	52 0.3×	37 1.4×	6 0.2×	10	689
Biaolin Hu China	13	498 0.7×	118 0.3×	208 1.1×	16 0.6×	7 0.3×	31	549
Tingbo Jiang China	16	492 0.7×	297 0.8×	57 0.3×	25 1.0×	4 0.2×	40	572
Khirod Kumar Sahoo India	12	668 1.0×	325 0.9×	68 0.4×	11 0.4×	7 0.3×	18	757
Shashank Kumar Yadav India	11	588 0.9×	261 0.7×	61 0.3×	10 0.4×	9 0.4×	21	651
Kyle M. VandenLangenberg United States	7	457 0.7×	134 0.4×	134 0.7×	6 0.2×	7 0.3×	9	508
Yanyan Tang China	13	502 0.7×	196 0.6×	175 1.0×	11 0.4×	14 0.6×	27	541
Shengwu Hu China	14	378 0.6×	322 0.9×	49 0.3×	5 0.2×	11 0.4×	45	476

Countries citing papers authored by Hee Joong Jeong

Since Specialization

Citations

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

Fields of papers citing papers by Hee Joong Jeong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee Joong Jeong. 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 Hee Joong Jeong. The network helps show where Hee Joong Jeong may publish in the future.

Co-authorship network of co-authors of Hee Joong Jeong

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

All Works

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9 of 9 papers shown

Yoon, Jinmi, Lae‐Hyeon Cho, Sichul Lee, et al.. (2019). Chromatin Interacting Factor OsVIL2 Is Required for Outgrowth of Axillary Buds in Rice.. PubMed. 42(12). 858–868. 14 indexed citations

Wei, Jinhuan, Yunfei Wu, Lae‐Hyeon Cho, et al.. (2017). Identification of root-preferential transcription factors in rice by analyzing GUS expression patterns of T-DNA tagging lines. Journal of Plant Biology. 60(3). 268–277. 7 indexed citations

Jeong, Hee Joong, Jungil Yang, Lae‐Hyeon Cho, & Gynheung An. (2016). OsVIL1 controls flowering time in rice by suppressing OsLF under short days and by inducing Ghd7 under long days. Plant Cell Reports. 35(4). 905–920. 8 indexed citations

Jeong, Hee Joong, Jungil Yang, Jakyung Yi, & Gynheung An. (2015). Controlling flowering time by histone methylation and acetylation in arabidopsis and rice. Journal of Plant Biology. 58(4). 203–210. 27 indexed citations

Park, Jongjin, Ping Jin, Jinmi Yoon, et al.. (2010). Mutation in Wilted Dwarf and Lethal 1 (WDL1) causes abnormal cuticle formation and rapid water loss in rice. Plant Molecular Biology. 74(1-2). 91–103. 70 indexed citations

Lee, Sichul, Hee Joong Jeong, Sun A. Kim, et al.. (2010). OsZIP5 is a plasma membrane zinc transporter in rice. Plant Molecular Biology. 73(4-5). 507–517. 171 indexed citations

Park, Jongjin, Jakyung Yi, Jinmi Yoon, et al.. (2010). OsPUB15, an E3 ubiquitin ligase, functions to reduce cellular oxidative stress during seedling establishment. The Plant Journal. 65(2). 194–205. 106 indexed citations

Lee, Yang‐Seok, Dong‐Hoon Jeong, Dong‐Yeon Lee, et al.. (2010). OsCOL4 is a constitutive flowering repressor upstream of Ehd1 and downstream of OsphyB. The Plant Journal. 63(1). no–no. 154 indexed citations

Ryu, Choong‐Hwan, Shin-Young Lee, Song Lim Kim, et al.. (2009). OsMADS50andOsMADS56function antagonistically in regulating long day (LD)‐dependent flowering in rice. Plant Cell & Environment. 32(10). 1412–1427. 181 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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