Young‐Dong Kim

6.0k total citations
134 papers, 2.2k citations indexed

About

Young‐Dong Kim is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Young‐Dong Kim has authored 134 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 58 papers in Plant Science and 46 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Young‐Dong Kim's work include Plant and Fungal Species Descriptions (28 papers), Ecology and Conservation Studies (26 papers) and Plant and animal studies (21 papers). Young‐Dong Kim is often cited by papers focused on Plant and Fungal Species Descriptions (28 papers), Ecology and Conservation Studies (26 papers) and Plant and animal studies (21 papers). Young‐Dong Kim collaborates with scholars based in South Korea, United States and China. Young‐Dong Kim's co-authors include Homervergel G. Ong, Robert K. Jansen, Junmo Kim, Junho Yim, Sunghee Kim, Kyoung Bo Lee, Byong Yong Hwang, Seong Hoon Lim, Kyung-Hoon Kim and Sangtae Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Young‐Dong Kim

123 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young‐Dong Kim South Korea 26 732 695 513 218 182 134 2.2k
Xia Li China 20 977 1.3× 336 0.5× 57 0.1× 59 0.3× 55 0.3× 105 2.3k
Sébastien Dejean France 25 1.5k 2.0× 211 0.3× 54 0.1× 44 0.2× 93 0.5× 86 3.0k
Yong Zhang China 30 1.7k 2.3× 1.8k 2.6× 73 0.1× 36 0.2× 57 0.3× 206 3.3k
Xuan Li China 26 1.1k 1.5× 746 1.1× 62 0.1× 14 0.1× 61 0.3× 138 2.4k
Jing Dong China 28 781 1.1× 201 0.3× 43 0.1× 72 0.3× 16 0.1× 135 2.4k
Hongyan Chen China 31 1.3k 1.8× 1.7k 2.4× 68 0.1× 22 0.1× 35 0.2× 128 3.3k
M. Srinivasan India 28 570 0.8× 327 0.5× 513 1.0× 10 0.0× 17 0.1× 96 2.3k
Tingting Liu China 32 1.4k 2.0× 1.7k 2.5× 226 0.4× 11 0.1× 32 0.2× 192 3.6k
Wei Gong China 24 277 0.4× 82 0.1× 76 0.1× 105 0.5× 134 0.7× 104 1.9k
Bin Fan China 23 852 1.2× 963 1.4× 39 0.1× 52 0.2× 26 0.1× 166 3.0k

Countries citing papers authored by Young‐Dong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Dong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young‐Dong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Dong Kim. A scholar is included among the top collaborators of Young‐Dong 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 Young‐Dong Kim. Young‐Dong 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.
Cho, Hyun Seob, Chung Hyun Cho, Young‐Dong Kim, et al.. (2025). Evolution of the JULGI–SMXL4/5 module for phloem development in angiosperms. Proceedings of the National Academy of Sciences. 122(10). e2416674122–e2416674122. 2 indexed citations
2.
Kim, Young‐Dong, et al.. (2024). Excellent Endurance (> 1013) of Charge Trap Memory Based on HxWO3 Charge Trap Layer With Shallow Trap Level Using Hydrogen Spillover. IEEE Electron Device Letters. 45(10). 1804–1807.
4.
Park, Jiyoung, Dongmin Kang, Seung-Pil Shin, et al.. (2022). A host non-coding RNA, nc886, plays a pro-viral role by promoting virus trafficking to the nucleus. Molecular Therapy — Oncolytics. 24. 683–694. 15 indexed citations
5.
Kim, Yong‐In, et al.. (2022). <i>Saxifraga cortusifolia</i> (Saxifragaceae): A new record for the Korean flora from Jejudo Island. Korean Journal of Plant Taxonomy. 52(4). 251–254.
6.
Chung, Mi Yoon, Sonia Herrando‐Moraira, Cindy Q. Tang, et al.. (2020). Incorporating differences between genetic diversity of trees and herbaceous plants in conservation strategies. Conservation Biology. 34(5). 1142–1151. 34 indexed citations
7.
Lee, Sung Won, Hyun Jung Park, Sang Eun Lee, et al.. (2018). Anti-cancer activity of Angelica gigas by increasing immune response and stimulating natural killer and natural killer T cells. BMC Complementary and Alternative Medicine. 18(1). 218–218. 28 indexed citations
8.
Kim, Young‐Dong, et al.. (2016). EEG and Sonic Platforms to Enhance Mindfulness Meditation. Journal of Arts and Humanities. 5(9). 1–1. 1 indexed citations
9.
Park, Hyun Jung, Kwang Soo Lee, Jung Hoon Lee, et al.. (2016). Fisetin-Rich Extracts of Rhus verniciflua Stokes Improve Blood Flow Rates in Mice Fed Both Normal and High-Fat Diets. Journal of Medicinal Food. 19(2). 120–126. 11 indexed citations
10.
Cho, Jae Youl, et al.. (2015). Phenolic Compounds and Triterpenes from the Barks of Diospyros burmanica. Natural Product Sciences. 21(2). 76–81. 7 indexed citations
11.
Kim, Yong‐In, et al.. (2015). A new combination for <i>Saxifraga octopetala</i> (Saxifragaceae) and its phylogenetic relationship. Korean Journal of Plant Taxonomy. 45(4). 306–317. 3 indexed citations
12.
Yang, Woo Seok, Deok Jeong, Young‐Su Yi, et al.. (2014). Myrsine seguinii ethanolic extract and its active component quercetin inhibit macrophage activation and peritonitis induced by LPS by targeting to Syk/Src/IRAK-1. Journal of Ethnopharmacology. 151(3). 1165–1174. 46 indexed citations
13.
Kim, Eunji, Kee Dong Yoon, Woo-Shin Lee, et al.. (2014). Syk/Src-targeted anti-inflammatory activity of Codariocalyx motorius ethanolic extract. Journal of Ethnopharmacology. 155(1). 185–193. 19 indexed citations
14.
Kim, Young‐Dong. (2012). Transmission Performance of VoIP Traffics over MANETs under Multi Intrusions. The Journal of the Korea institute of electronic communication sciences. 7(2). 257–262. 3 indexed citations
15.
Kim, Young‐Dong. (2011). Performance of VoIP Traffics over MANETs under DDoS Intrusions. The Journal of the Korea institute of electronic communication sciences. 6(4). 493–498. 6 indexed citations
16.
Kim, Young‐Dong. (2011). End-to-End Performance of VoIP Traffics over Large Scale MANETs. The Journal of the Korea institute of electronic communication sciences. 6(1). 49–54. 2 indexed citations
17.
Lee, Jong Hwa, et al.. (2009). Comparison of Blind and Ultasonography Guided Approach of Suprascapular Nerve Block. Annals of Rehabilitation Medicine. 33(2). 219–224. 2 indexed citations
18.
Kim, Young‐Dong. (2009). End-to-End Performance of VoIP based on Mobility Pattern over MANETs. Journal of information and communication convergence engineering. 7(3). 309–313. 1 indexed citations
19.
Kim, Young‐Dong, et al.. (2005). Fire Protection System for Ubiquitous Environment. The Transactions of The Korean Institute of Electrical Engineers. 54(3). 141–147.
20.
Kim, Young‐Dong, et al.. (2000). The relationship between the Alzheimer's Disease Assessment Scale and other measures of dementia.. Gajeong yihag hoeji. 21(7). 876–883.

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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