Jung Su Jo

716 total citations
26 papers, 527 citations indexed

About

Jung Su Jo is a scholar working on Plant Science, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Jung Su Jo has authored 26 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 10 papers in Molecular Biology and 4 papers in Organic Chemistry. Recurrent topics in Jung Su Jo's work include Genomics, phytochemicals, and oxidative stress (10 papers), Plant Stress Responses and Tolerance (8 papers) and Plant Physiology and Cultivation Studies (4 papers). Jung Su Jo is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (10 papers), Plant Stress Responses and Tolerance (8 papers) and Plant Physiology and Cultivation Studies (4 papers). Jung Su Jo collaborates with scholars based in South Korea, United States and Spain. Jung Su Jo's co-authors include Shiva Ram Bhandari, Jun Gu Lee, Yu Kyeong Shin, Jun Lee, Eun Young Yang, Ju-Hee Rhee, Sung Kyeom Kim, Jung-Ho Kwak, Steven Kim and Dong Sub Kim and has published in prestigious journals such as Molecules, Computers and Electronics in Agriculture and Scientia Horticulturae.

In The Last Decade

Jung Su Jo

24 papers receiving 524 citations

Peers

Jung Su Jo

BIOCH

Randi Seljåsen Norway

Antonios Petridis Greece

Yaseen Khan China

Nqobile A. Masondo South Africa

Sanjula Sharma India

Tor J. Johansen Norway

Abdullah Alaklabi Saudi Arabia

Stine Krogh Steffensen Denmark

Tebra Triki Tunisia

Ümmügülsüm Erdoğan Türkiye

Randi Seljåsen Norway

Jung Su Jo

259 ×0.6

191 ×0.9

107 ×1.7

BIOCH

62 ×1.1

33 ×0.7

Citations per year, relative to Jung Su Jo Jung Su Jo (= 1×) peers Randi Seljåsen

Countries citing papers authored by Jung Su Jo

Since Specialization

Citations

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

Fields of papers citing papers by Jung Su Jo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung Su Jo. 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 Jung Su Jo. The network helps show where Jung Su Jo may publish in the future.

Co-authorship network of co-authors of Jung Su Jo

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

All Works

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20 of 20 papers shown

Suh, Hyun Kwon, et al.. (2024). Novel method for crop growth tracking with deep learning model on an Edge Rail Camera. Computers and Electronics in Agriculture. 230. 109816–109816. 3 indexed citations

Jo, Jung Su, et al.. (2024). Profiling of Flavor Volatiles by SPME-GC-MS in Strawberry Cultivars during Fruit Development and Ripening. Horticultural Science and Technology. 42(3). 326–338. 2 indexed citations

Jo, Jung Su, et al.. (2024). Changes in biochemical metabolites and growth of garlic by evapotranspiration-based irrigation regime. Annals of Agricultural Sciences. 69(2). 100378–100378.

Jo, Jung Su, et al.. (2023). Development of a semi-open chamber system for the gas exchange measurement of whole-canopy under steady and unsteady states in cucumber seedlings. Plant Methods. 19(1). 79–79. 3 indexed citations

Kim, Steven, et al.. (2023). Estimating the impact of environmental management on strawberry yield using publicly available agricultural data in South Korea. PeerJ. 11. e15390–e15390. 2 indexed citations

Jo, Jung Su, et al.. (2023). Evaluation of Growth and Photosynthetic Rate of Cucumber Seedlings Affected by Far-Red Light Using a Semi-Open Chamber and Imaging System. Horticulturae. 9(1). 98–98. 8 indexed citations

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

Kim, Sung Kyeom, et al.. (2023). Establishment of Proper Irrigation Method for Scion and Rootstock Production of Solanaceous Vegetables According to Water Use Efficiency in a Plant Factory with Artificial Lighting. Horticultural Science and Technology. 41(6). 686–694. 1 indexed citations

Jo, Jung Su, et al.. (2022). Estimation and Validation of the Leaf Areas of Five June-bearing Strawberry (Fragaria × ananassa) Cultivars using Non-destructive Methods. Journal of Bio-Environment Control. 31(2). 98–103. 7 indexed citations

10.

Bhandari, Shiva Ram, Ju-Hee Rhee, Jung Su Jo, et al.. (2022). Morphological and Biochemical Variation in Carrot Genetic Resources Grown under Open Field Conditions: The Selection of Functional Genotypes for a Breeding Program. Agronomy. 12(3). 553–553. 11 indexed citations

11.

Jo, Jung Su, et al.. (2022). Changes in Abscisic Acid, Carbohydrate, and Glucosinolate Metabolites in Kimchi Cabbage Treated with Glutamic Acid Foliar Application under Extremely Low Temperature Conditions. Journal of Bio-Environment Control. 31(3). 170–179.

12.

Jo, Jung Su, et al.. (2022). Abscisic acid, carbohydrate, and Glucosinolate metabolite profiles in Kimchi cabbage treated with extremely high temperatures and chitosan foliar application. Scientia Horticulturae. 304. 111311–111311. 12 indexed citations

13.

Jo, Jung Su, et al.. (2022). Selection of broccoli (Brassica oleracea var. italica) on composition and content of glucosinolates and hydrolysates. Scientia Horticulturae. 298. 110984–110984. 16 indexed citations

14.

Shin, Yu Kyeong, et al.. (2021). Application of Chlorophyll Fluorescence Parameters to Diagnose Salinity Tolerance in the Seedling of Tomato Genetic Resources. Journal of Bio-Environment Control. 30(2). 165–173. 6 indexed citations

15.

Jo, Jung Su, et al.. (2021). The BrGI Circadian Clock Gene Is Involved in the Regulation of Glucosinolates in Chinese Cabbage. Genes. 12(11). 1664–1664. 8 indexed citations

16.

Bhandari, Shiva Ram, Jung-Ho Kwak, Jung Su Jo, & Jun Gu Lee. (2019). Changes in phytochemical content and antioxidant activity during inflorescence development in broccoli. Chilean journal of agricultural research. 79(1). 36–47. 15 indexed citations

17.

Jo, Jung Su, et al.. (2018). Yearly Variation in Glucosinolate Content in Inflorescences of Broccoli Breeding Lines. Horticultural Science and Technology. 36(3). 406–416. 3 indexed citations

18.

Jo, Jung Su & Jun Gu Lee. (2018). Evaluation of Individual Glucosinolates, Phytochemical Contents, and Antioxidant Activities under Various Red to Far-Red Light Ratios in Three Brassica Sprouts. Protected horticulture and Plant Factory. 27(4). 415–423. 4 indexed citations

19.

Jo, Jung Su, et al.. (2016). Comparative analysis of individual glucosinolates, phytochemicals, and antioxidant activities in broccoli breeding lines. Horticulture Environment and Biotechnology. 57(4). 392–403. 15 indexed citations

20.

Bhandari, Shiva Ram, Jung Su Jo, & Jun Lee. (2015). Comparison of Glucosinolate Profiles in Different Tissues of Nine Brassica Crops. Molecules. 20(9). 15827–15841. 140 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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