Young‐Ju Oh

558 total citations
71 papers, 416 citations indexed

About

Young‐Ju Oh is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, Young‐Ju Oh has authored 71 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Plant Science, 33 papers in Ecology, Evolution, Behavior and Systematics and 17 papers in Molecular Biology. Recurrent topics in Young‐Ju Oh's work include Agriculture, Soil, Plant Science (29 papers), Ecology and Conservation Studies (29 papers) and Genetically Modified Organisms Research (8 papers). Young‐Ju Oh is often cited by papers focused on Agriculture, Soil, Plant Science (29 papers), Ecology and Conservation Studies (29 papers) and Genetically Modified Organisms Research (8 papers). Young‐Ju Oh collaborates with scholars based in South Korea, Ghana and United States. Young‐Ju Oh's co-authors include Soo-In Sohn, Subramani Pandian, Hyeon‐Jung Kang, Woosuk Cho, Tae‐Hun Ryu, Myung‐Hyun Kim, John‐Lewis Zinia Zaukuu, Young‐Eun Na, Chang‐Seok Kim and Hyun‐Suk Cho and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Young‐Ju Oh

59 papers receiving 330 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‐Ju Oh South Korea 12 218 123 109 66 47 71 416
G.S. Lawes New Zealand 14 479 2.2× 75 0.6× 122 1.1× 38 0.6× 60 1.3× 37 612
А. Ф. Титов Russia 16 727 3.3× 58 0.5× 185 1.7× 31 0.5× 35 0.7× 166 913
Darko Grbeša Croatia 14 203 0.9× 27 0.2× 51 0.5× 22 0.3× 58 1.2× 65 513
Tracy M. Sterling United States 16 510 2.3× 99 0.8× 150 1.4× 16 0.2× 26 0.6× 43 654
Rosalind Bueckert Canada 20 961 4.4× 113 0.9× 175 1.6× 33 0.5× 49 1.0× 50 1.1k
Ιoannis Metzidakis Greece 15 413 1.9× 103 0.8× 166 1.5× 30 0.5× 99 2.1× 26 675
Kuldeep Tripathi India 14 587 2.7× 74 0.6× 49 0.4× 23 0.3× 49 1.0× 98 660
Agnieszka Bagniewska‐Zadworna Poland 19 808 3.7× 92 0.7× 460 4.2× 17 0.3× 39 0.8× 50 1.0k
Monica Jolly India 14 400 1.8× 123 1.0× 166 1.5× 9 0.1× 42 0.9× 44 635
E. Kukkola Finland 11 463 2.1× 58 0.5× 212 1.9× 24 0.4× 41 0.9× 17 611

Countries citing papers authored by Young‐Ju Oh

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Ju Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young‐Ju Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Ju Oh. A scholar is included among the top collaborators of Young‐Ju Oh 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‐Ju Oh. Young‐Ju Oh 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, Myung‐Hyun & Young‐Ju Oh. (2025). Fine-Scale Environmental Heterogeneity Drives Intra- and Inter-Site Variation in Taraxacum officinale Flowering Phenology. Plants. 14(14). 2211–2211. 1 indexed citations
2.
Jang, Woojong, Jiseok Kim, Young‐Ju Oh, et al.. (2024). High-resolution genetic map and SNP chip for molecular breeding in Panax ginseng, a tetraploid medicinal plant. Horticulture Research. 11(12). uhae257–uhae257. 3 indexed citations
3.
Sohn, Soo-In, Senthil Kumar Thamilarasan, Subramani Pandian, et al.. (2022). Interspecific Hybridization of Transgenic Brassica napus and Brassica rapa—An Overview. Genes. 13(8). 1442–1442. 13 indexed citations
4.
Sohn, Soo-In, et al.. (2022). Discrimination of Brassica juncea Varieties Using Visible Near-Infrared (Vis-NIR) Spectroscopy and Chemometrics Methods. International Journal of Molecular Sciences. 23(21). 12809–12809. 4 indexed citations
5.
Kim, Myung‐Hyun, et al.. (2021). Selection of 30 Indicator Species for Climate Change in Agroecosystem Using Analytical Hierarchy Process (AHP) and Expert Questionnaire Survey. Journal of Climate Change Research. 12(5-1). 421–429. 2 indexed citations
6.
Sohn, Soo-In, et al.. (2021). Classification of Convolvulaceae plants using Vis-NIR spectroscopy and machine learning. Environmental Biology Research. 39(4). 581–589.
7.
Sohn, Soo-In, et al.. (2020). Current Status of GM Crop Discrimination Technology Using Spectroscopy. Korean Journal of Environmental Agriculture. 39(3). 263–272. 1 indexed citations
8.
Sohn, Soo-In, et al.. (2019). Effects of Disease Resistant Genetically Modified Rice on Soil Microbial Community Structure According to Growth Stage. Korean Journal of Environmental Agriculture. 38(3). 185–196. 2 indexed citations
9.
Kim, Chang‐Seok, Young‐Ju Oh, Sun Hee Hong, et al.. (2018). Exotic Weeds Flora in Crop Fields in Republic of Korea. Weed & Turfgrass Science. 7(1). 1–14. 2 indexed citations
10.
Hong, Sun Hee, et al.. (2016). Predicting the Suitable Habitat of Amaranthus viridis Based on Climate Change Scenarios by MaxEnt. Environmental Biology Research. 34(4). 240–245. 4 indexed citations
11.
Lee, Eun‐Jeong, Min‐Seob Kim, Myung‐Hyun Kim, et al.. (2016). Occurrence Patterns of C4 Plants in Agroecosystems (farming fields) in South Korea. Korean Journal of Ecology and Environment. 49(2). 89–101. 2 indexed citations
12.
Sohn, Soo-In, Young‐Ju Oh, Byung‐Yong Kim, & Hyun‐Suk Cho. (2016). Effects of CaMSRB2-Expressing Transgenic Rice Cultivation on Soil Microbial Communities. Journal of Microbiology and Biotechnology. 26(7). 1303–1310. 14 indexed citations
13.
Sohn, Soo-In, Young‐Ju Oh, Kyeong‐Ryeol Lee, et al.. (2016). Characteristics Analysis of F1 Hybrids between Genetically Modified Brassica napus and B. rapa. PLoS ONE. 11(9). e0162103–e0162103. 9 indexed citations
14.
Lee, Yong‐ho, et al.. (2013). Vulnerability Assessment on Spring Drought in the Field of Agriculture. Journal of Climate Change Research. 4(4). 397–407. 1 indexed citations
15.
Sohn, Soo-In, Yul-Ho Kim, Sun‐Lim Kim, et al.. (2013). Genistein production in rice seed via transformation with soybean IFS genes. Plant Science. 217-218. 27–35. 13 indexed citations
16.
Oh, Young‐Ju, et al.. (2012). Vulnerability Assessment of Soil Loss in Farm area to Climate Change Adaption. Korean Journal of Soil Science and Fertilizer. 45(5). 711–716. 8 indexed citations
17.
Kim, Chang‐Seok, et al.. (2008). A Taxonomic Study in Early Stage on the Genus Conyza and Erigeron (Asteraceae) Weeds of Korea. Korean Journal of Weed Science. 28(1). 42–51. 2 indexed citations
18.
Oh, Young‐Ju, et al.. (1995). Changes of weed community in lowland rice field[s] in Korea.. Korean Journal of Weed Science. 15(4). 254–261. 13 indexed citations
19.
Kim, Young‐Ju Oh, & Yong‐Su Kwon. (1992). Weed flora of agricultural area in Korea. Korean Journal of Weed Science. 12(4). 317–334. 10 indexed citations
20.
Oh, Young‐Ju, et al.. (1981). Distribution of Weed Population in the Paddy Field in Korea, 1981. Korean Journal of Weed Science. 1(1). 21–29. 5 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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