Dong Sub Kim

3.2k total citations
119 papers, 2.7k citations indexed

About

Dong Sub Kim is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Dong Sub Kim has authored 119 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Plant Science, 35 papers in Molecular Biology and 14 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Dong Sub Kim's work include Plant Genetic and Mutation Studies (31 papers), Plant tissue culture and regeneration (13 papers) and Plant Stress Responses and Tolerance (11 papers). Dong Sub Kim is often cited by papers focused on Plant Genetic and Mutation Studies (31 papers), Plant tissue culture and regeneration (13 papers) and Plant Stress Responses and Tolerance (11 papers). Dong Sub Kim collaborates with scholars based in South Korea, United States and Japan. Dong Sub Kim's co-authors include Jonathan L. Sessler, Cheol Seong Jang, Vincent M. Lynch, Jin‐Baek Kim, Jung Su Park, Sang Hoon Kim, Si‐Yong Kang, Yong Weon Seo, Bo‐Keun Ha and Sun‐Goo Hwang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Dong Sub Kim

117 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong Sub Kim South Korea 29 1.1k 759 738 732 592 119 2.7k
Huijun Xu China 32 1.3k 1.2× 972 1.3× 1.3k 1.7× 212 0.3× 192 0.3× 206 3.8k
Zhen Xi China 40 900 0.8× 942 1.2× 2.3k 3.1× 1.5k 2.1× 1.5k 2.6× 222 5.6k
Angela Tuzi Italy 34 340 0.3× 918 1.2× 537 0.7× 1.3k 1.8× 392 0.7× 166 3.2k
Andrés F. Olea Chile 24 354 0.3× 450 0.6× 311 0.4× 603 0.8× 157 0.3× 106 1.9k
Rebecca Pogni Italy 30 1.0k 0.9× 328 0.4× 918 1.2× 318 0.4× 78 0.1× 108 2.7k
Claude Didierjean France 36 312 0.3× 613 0.8× 2.6k 3.5× 1.5k 2.0× 193 0.3× 171 3.8k
M. Sameiro T. Gonçalves Portugal 24 146 0.1× 1.2k 1.6× 934 1.3× 1.1k 1.5× 375 0.6× 120 2.7k
Christopher R. K. Glasson New Zealand 25 218 0.2× 627 0.8× 318 0.4× 449 0.6× 144 0.2× 49 2.6k
Jaime Primo Spain 39 814 0.8× 1.5k 1.9× 723 1.0× 1.2k 1.6× 106 0.2× 154 4.4k
Chuan‐Zeng Wang China 20 348 0.3× 410 0.5× 403 0.5× 333 0.5× 299 0.5× 88 1.2k

Countries citing papers authored by Dong Sub Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dong Sub Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong Sub 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 Dong Sub Kim. The network helps show where Dong Sub Kim may publish in the future.

Co-authorship network of co-authors of Dong Sub Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Sub Kim. A scholar is included among the top collaborators of Dong Sub 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 Dong Sub Kim. Dong Sub 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, Taehwa, et al.. (2024). Data-driven analysis of climate impact on tomato and apple prices using machine learning. Heliyon. 11(1). e41478–e41478. 1 indexed citations
2.
Kim, Steven, et al.. (2023). ShinyCore: An R/Shiny program for establishing core collection based on single nucleotide polymorphism data. Plant Methods. 19(1). 106–106. 2 indexed citations
3.
4.
Jo, Jung Su, et al.. (2023). Prediction of strawberry yield based on receptacle detection and Bayesian inference. Heliyon. 9(3). e14546–e14546. 7 indexed citations
5.
Kim, Steven, Steven A. Fennimore, & Dong Sub Kim. (2022). A potential relationship between soil disinfestation efficacy and leaf green reflectance. PLoS ONE. 17(7). e0271677–e0271677. 1 indexed citations
6.
Kim, Steven, et al.. (2021). Applications of statistical experimental designs to improve statistical inference in weed management. PLoS ONE. 16(9). e0257472–e0257472. 4 indexed citations
7.
Kim, Steven, et al.. (2021). An image segmentation technique with statistical strategies for pesticide efficacy assessment. PLoS ONE. 16(3). e0248592–e0248592. 3 indexed citations
8.
Hong, Joon Ho, Mi Jin Lee, Dong Sub Kim, et al.. (2019). Analysis of monosaccharide composition of fucoidan from Sargassum horneri using UPLC-DAD-TOF/MS combined with precolumn derivatization by 3-methyl-1-phenyl-5-pyrazolone. Korean Journal of Food Preservation. 26(2). 219–227. 6 indexed citations
9.
Hirao, T., Dong Sub Kim, Xiaodong Chi, et al.. (2018). Control over multiple molecular states with directional changes driven by molecular recognition. Nature Communications. 9(1). 823–823. 34 indexed citations
10.
Zhang, Cheng, Dong Sub Kim, Jimmy Lawrence, Craig J. Hawker, & Andrew K. Whittaker. (2018). Elucidating the Impact of Molecular Structure on the 19F NMR Dynamics and MRI Performance of Fluorinated Oligomers. ACS Macro Letters. 7(8). 921–926. 39 indexed citations
11.
Lawrence, Jimmy, Jing Ren, Brenden McDearmon, et al.. (2017). A Versatile and Efficient Strategy to Discrete Conjugated Oligomers. Journal of the American Chemical Society. 139(39). 13735–13739. 97 indexed citations
12.
Kim, Dong Sub, Kyung Jun Lee, Won Cheol Yim, et al.. (2012). Transcriptional network analysis of the tryptophan-accumulating rice mutant during grain filling. Molecular Genetics and Genomics. 287(9). 699–709. 1 indexed citations
13.
Kim, Sung Kyeom, et al.. (2011). Comparison of Bioactive Compounds Contents in 21 Major Strawberry Cultivars. 74–74. 1 indexed citations
14.
Hwang, Sun‐Goo, Dong Sub Kim, & Cheol Seong Jang. (2011). Comparative analysis of evolutionary dynamics of genes encoding leucine-rich repeat receptor-like kinase between rice and Arabidopsis. Genetica. 139(8). 1023–1032. 43 indexed citations
15.
Cho, Hyun Yong, et al.. (2010). Articles : A TILLING Rice Population Induced by Gamma-ray Irradiation and its Genetic Diversity. Korean Journal of Breeding Science. 42(4). 365–373. 5 indexed citations
16.
Chung, Sung Jin, Geung‐Joo Lee, Hyejung Lee, et al.. (2010). Isolation of a Leucoanthocyanidin Dioxygenase (LDOX) Gene from a Spray-type Chrysanthemum (Dendranthema × grandiflorum) and Its Colored Mutants. Horticultural Science and Technology. 28(5). 818–827. 4 indexed citations
17.
Lee, Geung‐Joo, Kwang-Soo Kim, Jongsun Kim, et al.. (2008). A Wide Array of Phenotypic Components and Their Contributions to Variations in Calanthe Orchid Landraces. Horticulture Environment and Biotechnology. 49(6). 418–426. 2 indexed citations
18.
Choi, Jong Hoon, et al.. (2004). Mycology of Red Pepper (Capsicum annuum L.) Fruits Discolored due to Mold Growth during Sun-drying. Food Science and Biotechnology. 13(5). 627–631. 1 indexed citations
19.
Bu, So Young, et al.. (2002). Antioxidant Activity and Total Phenolic Compounds in Grain Extracts of Wheat, Barley, and Oat. The Korean Journal of Crop Science. 47(2). 102–107. 8 indexed citations
20.
Kim, Dong Sub. (1989). Analysis of fatigue crack propagation behavior of a surface crack at fillet toe of tubular joints /. OhioLink ETD Center (Ohio Library and Information Network). 1 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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