Seong Jun Chun

National Institute of Ecology

South Korea

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Articles (17)

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2025

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2020

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2020

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2020

Collaborators (2)

An Suk Lim

Assistant professor

Gyeongsang National University

SOUTH KOREA

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Hee-Mock Oh

University of Science and Technology

SOUTH KOREA

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Seong Jun Chun

Research Interests

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Articles (17)

Freshwater shrimp (Neocaridina denticulata) as a nature-based restoration tool for macrophyte recovery and improved water quality in eutrophic ponds

Bacterial and fungal microbiome dataset from holobionts of CP4-EPSPS–containing hybrids and wild-type Brassica juncea in South Korea

Exploring the metabolome network and phytoremediation potential of wild plant species thriving in a heavy metal-contaminated abandoned mine in Korea

Draft genome sequence of Solimonas sp. strain SE-A11 isolated from the rhizosphere of feral Brassica napus in South Korea

Effect of seeding density on the weediness potential of transgenic plants: a case study on sunflowers

Whole genome sequence data of Galbitalea sp. strain isolated from gut of Spodoptera litura (Lepidoptera: Noctuidae) in South Korea

Evaluating the risk of living modified organisms on the natural ecosystem by analyzing the overwintering potential of four major species imported into Korea

Microbiome dataset of bacterial and fungal communities in anthosphere of twelve different wild plants in South Korea

Comparison of overwintering potential of seeds in laboratory and field conditions for the risk assessment of transgenic plants: a sunflower case study

Microbiome dataset of eukaryotic and fungal communities in the bulk soil and root of wild Brassica napus in South Korea

Aquariibacter albus gen. nov., sp. nov., a new member of the order Burkholderiales, isolated from a freshwater aquarium

Ecological network analysis reveals distinctive microbial modules associated with heavy metal contamination of abandoned mine soils in Korea

Deep Learning for Simulating Harmful Algal Blooms Using Ocean Numerical Model

Short-term response of pelagic planktonic communities after inoculation with the mass cultured dinoflagellate Alexandrium affine in a large-scale mesocosm experiment

Corrigendum to “Network analysis reveals succession of Microcystis genotypes accompanying distinctive microbial modules with recurrent patterns” [Water Res. 170 (2020) 115326] (Water Research (2020) 170, (S0043135419311005), (10.1016/j.watres.2019.115326))

Distribution of Dimethylsulfoniopropionate Degradation Genes Reflects Strong Water Current Dependencies in the Sanriku Coastal Region in Japan: From Mesocosm to Field Study

Network analysis reveals succession of Microcystis genotypes accompanying distinctive microbial modules with recurrent patterns

Collaborators (2)

An Suk Lim

Hee-Mock Oh

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