Jun Seok Kim

1.5k total citations · 1 hit paper
20 papers, 883 citations indexed

About

Jun Seok Kim is a scholar working on Molecular Biology, Physiology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Jun Seok Kim has authored 20 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Physiology and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Jun Seok Kim's work include Advanced Statistical Process Monitoring (4 papers), Advanced Statistical Methods and Models (3 papers) and RNA modifications and cancer (3 papers). Jun Seok Kim is often cited by papers focused on Advanced Statistical Process Monitoring (4 papers), Advanced Statistical Methods and Models (3 papers) and RNA modifications and cancer (3 papers). Jun Seok Kim collaborates with scholars based in South Korea, United States and Singapore. Jun Seok Kim's co-authors include Seung‐Hoi Koo, Hye-Sook Han, Geon Kang, Jun‐Geol Baek, Y. Y. Lee, Cheolju Lee, Hee‐Sung Ahn, Sang–Hyoun Kim, Young Soo Kim and Ji Eun Lee and has published in prestigious journals such as PLoS ONE, Food Chemistry and International Journal of Hydrogen Energy.

In The Last Decade

Jun Seok Kim

20 papers receiving 859 citations

Hit Papers

Regulation of glucose metabolism from a liver-centric per... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Seok Kim South Korea 11 379 166 141 135 114 20 883
Ying Zang China 23 614 1.6× 113 0.7× 158 1.1× 186 1.4× 87 0.8× 75 2.0k
Xi Qiu China 23 344 0.9× 139 0.8× 124 0.9× 44 0.3× 44 0.4× 99 1.8k
Jinliang Chen China 19 469 1.2× 144 0.9× 85 0.6× 31 0.2× 65 0.6× 65 1.1k
Songyan Wang China 19 195 0.5× 111 0.7× 48 0.3× 196 1.5× 52 0.5× 77 1.2k
Jiajun Chen China 23 609 1.6× 140 0.8× 119 0.8× 281 2.1× 151 1.3× 127 2.1k
Kuljeet Kaur United States 27 882 2.3× 156 0.9× 127 0.9× 56 0.4× 72 0.6× 78 2.3k
Chongbin Liu China 18 336 0.9× 150 0.9× 78 0.6× 27 0.2× 123 1.1× 62 1.1k
Junghyo Jo South Korea 13 309 0.8× 420 2.5× 293 2.1× 146 1.1× 23 0.2× 39 1.0k

Countries citing papers authored by Jun Seok Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jun Seok Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Seok Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Seok Kim. A scholar is included among the top collaborators of Jun Seok 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 Jun Seok Kim. Jun Seok 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, Jun Seok, Hyesook Han, Je Kyung Seong, Young‐Gyu Ko, & Seung‐Hoi Koo. (2023). Involvement of a novel cAMP signaling mediator for beige adipogenesis. Metabolism. 143. 155536–155536. 6 indexed citations
2.
Kim, Jun Seok, et al.. (2021). The Effect of Voice Therapy for the Treatment of Functional Aphonia: A Preliminary Study. 32(2). 75–80. 1 indexed citations
3.
Park, Jong‐Hun, Young–Bo Sim, Jun Seok Kim, & Sang–Hyoun Kim. (2019). Effects of alginate immobilization on dynamic membrane formation and H2 fermentation from galactose. International Journal of Hydrogen Energy. 45(10). 5874–5880. 20 indexed citations
4.
Han, Hye-Sook, et al.. (2016). Regulation of glucose metabolism from a liver-centric perspective. Experimental & Molecular Medicine. 48(3). e218–e218. 577 indexed citations breakdown →
5.
Park, Seongjun, Hee‐Sung Ahn, Jun Seok Kim, & Cheolju Lee. (2015). Evaluation of Multi-tRNA Synthetase Complex by Multiple Reaction Monitoring Mass Spectrometry Coupled with Size Exclusion Chromatography. PLoS ONE. 10(11). e0142253–e0142253. 14 indexed citations
6.
Ahn, Su‐Jin, Roent Dune A. Cayetano, Tae Hyun Kim, & Jun Seok Kim. (2015). Lactic acid Production from Hydrolysate of Pretreated Cellulosic Biomass by Lactobacillus rhamnosus. Korean Chemical Engineering Research. 53(1). 1–5. 4 indexed citations
7.
Kim, Jun Seok, Hee‐Sung Ahn, Soo Min Cho, et al.. (2014). Detection and quantification of plasma amyloid-β by selected reaction monitoring mass spectrometry. Analytica Chimica Acta. 840. 1–9. 29 indexed citations
8.
Kim, Jongwoo, et al.. (2014). Update Cycle Detection Method of Control Limits using Control Chart Performance Evaluation Model. Journal of Korean Institute of Industrial Engineers. 40(1). 43–51. 2 indexed citations
9.
Kim, Kyutae, Seungjin Na, Jun Seok Kim, et al.. (2013). Reinvestigation of Aminoacyl-TRNA Synthetase Core Complex by Affinity Purification-Mass Spectrometry Reveals TARSL2 as a Potential Member of the Complex. PLoS ONE. 8(12). e81734–e81734. 18 indexed citations
10.
Han, Sun-Ho, Jun Seok Kim, Young-Ju Lee, et al.. (2013). Both Targeted Mass Spectrometry and Flow Sorting Analysis Methods Detected the Decreased Serum Apolipoprotein E Level in Alzheimer's Disease Patients. Molecular & Cellular Proteomics. 13(2). 407–419. 24 indexed citations
11.
Kim, Jun Seok, et al.. (2013). Density weighted support vector data description. Expert Systems with Applications. 41(7). 3343–3350. 74 indexed citations
12.
Kim, Jun Seok, Young-Ju Lee, Min Young Lee, et al.. (2013). Multiple Reaction Monitoring of Multiple Low-Abundance Transcription Factors in Whole Lung Cancer Cell Lysates. Journal of Proteome Research. 12(6). 2582–2596. 12 indexed citations
13.
Kim, Jun Seok, et al.. (2012). Nonparametric Control Chart Using Density Weighted Support Vector Data Description. Zenodo (CERN European Organization for Nuclear Research). 6(12). 2760–2764. 4 indexed citations
14.
Kim, Jun Seok, et al.. (2012). Control Chart Pattern Recognition of Manufacturing Process Using Wavelet Feature-Based Artificial Neural Networks. Advanced Science Letters. 13(1). 863–866. 4 indexed citations
15.
Kim, Jun Seok, et al.. (2012). Control Chart Pattern Recognition Using Wavelet Based Neural Networks. Zenodo (CERN European Organization for Nuclear Research). 6(12). 1717–1721. 5 indexed citations
16.
Kim, Jun Seok, et al.. (2012). Kinetic Study of Empty Fruit Bunch Using Hot Liquid Water and Dilute Acid. Applied Biochemistry and Biotechnology. 167(6). 1527–1539. 10 indexed citations
17.
Kim, Jun Seok, et al.. (2010). Optimization of Ammonia Percolation Process for Ethanol Production from Miscanthus Sinensis. Korean Journal of Chemical Engineering. 48(6). 704–711. 14 indexed citations
18.
Kim, Jun Seok, et al.. (2009). Age Related Changes of Voiding Patterns in Women with Overactive Bladder. 13(1). 37–37. 2 indexed citations
19.
Jun, Do Youn, Jun Seok Kim, Jong Guk Kim, et al.. (2005). Suppressive effect of ethyl acetate extract of Paecilomyces japonica on cell cycle progression of human acute leukemia Jurkat T cell clone overexpressing Bcl-2. Food Chemistry. 100(1). 99–107. 6 indexed citations
20.
Kim, Jun Seok, et al.. (2000). Pretreatment of Wastepaper and Pulp Mill Sludge by Aqueous Ammonia and Hydrogen Peroxide. Applied Biochemistry and Biotechnology. 84-86(1-9). 129–140. 57 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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