Sung Il Kim

1.2k total citations
35 papers, 999 citations indexed

About

Sung Il Kim is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Sung Il Kim has authored 35 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Electrical and Electronic Engineering and 5 papers in Automotive Engineering. Recurrent topics in Sung Il Kim's work include TGF-β signaling in diseases (8 papers), Renal and related cancers (4 papers) and Advanced Battery Technologies Research (4 papers). Sung Il Kim is often cited by papers focused on TGF-β signaling in diseases (8 papers), Renal and related cancers (4 papers) and Advanced Battery Technologies Research (4 papers). Sung Il Kim collaborates with scholars based in South Korea, United States and Sweden. Sung Il Kim's co-authors include Mary E. Choi, Joon Hyeok Kwak, Yan Ding, Yanjuan He, Min Soo Kim, Mareena Zachariah, Jin Kuk Kim, Taek Dong Chung, Seok Hee Han and Young Sang Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Sung Il Kim

33 papers receiving 978 citations

Peers

Sung Il Kim
Lei Jing China
Heng Gu China
Joo Hee Lee South Korea
Wanyun Li China
Jiaqi Chu China
Xiao Yang China
Lei Jing China
Sung Il Kim
Citations per year, relative to Sung Il Kim Sung Il Kim (= 1×) peers Lei Jing

Countries citing papers authored by Sung Il Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sung Il Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung Il Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sung Il Kim. A scholar is included among the top collaborators of Sung Il 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 Sung Il Kim. Sung Il 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.
Han, Seok Hee, et al.. (2022). Iontronic analog of synaptic plasticity: Hydrogel-based ionic diode with chemical precipitation and dissolution. Proceedings of the National Academy of Sciences. 120(1). e2211442120–e2211442120. 43 indexed citations
2.
Ryu, Tae In, et al.. (2022). Calculation of the infrared spectra of organophosphorus compounds and prediction of new types of nerve agents. New Journal of Chemistry. 46(18). 8653–8661. 7 indexed citations
3.
Han, Seok Hee, Sung Il Kim, Seungmin Lim, et al.. (2021). Hydrogel-Based Iontronics on a Polydimethylsiloxane Microchip. ACS Applied Materials & Interfaces. 13(5). 6606–6614. 24 indexed citations
4.
Lee, Seung‐Ju, et al.. (2018). Susceptibility of Field Populations of Plutella xylostella and Spodoptera exigua to Four Diamide Insecticides. Korean journal of applied entomology. 57(1). 43–50. 14 indexed citations
5.
Cho, Sung‐Woo, et al.. (2018). Evaluation of Susceptibility of Western Flower Thrips (Frankliniella occidentalis ) and Garden Thrips (F. intonsa ) to 51 Insecticides. Korean journal of applied entomology. 57(3). 221–231. 1 indexed citations
6.
Kim, Sung Il, et al.. (2015). Flexible OLED fabrication with ITO thin film on polymer substrate. Japanese Journal of Applied Physics. 54(9). 90301–90301. 34 indexed citations
7.
Choi, Chang Bon, et al.. (2014). Effects of Supplementary of Distiller's Dried Grains with Solubles in the Diets on Performances, Carcass Characteristics and Composition of Fatty Acid in Hanwoo Steers. Journal of Agriculture & Life Science. 48(1). 115–125. 1 indexed citations
8.
Kim, Sung Il & Jin Uk Kim. (2014). A Longitudinal Data Analysis of the Effect of Driving Distance on Scoring Average in Golf. Journal of Sport and Leisure Studies. 57. 945–952.
9.
Choi, Mary E., Yan Ding, & Sung Il Kim. (2012). TGF-β Signaling via TAK1 Pathway: Role in Kidney Fibrosis. Seminars in Nephrology. 32(3). 244–252. 111 indexed citations
10.
Kim, Sung Il & Mary E. Choi. (2012). TGF-β-activated kinase-1: New insights into the mechanism of TGF-β signaling and kidney disease. SHILAP Revista de lepidopterología. 31(2). 94–105. 76 indexed citations
11.
Baik, Kyung Don, Sung Il Kim, Bo Hong, Kookil Han, & Min Soo Kim. (2011). Effects of gas diffusion layer structure on the open circuit voltage and hydrogen crossover of polymer electrolyte membrane fuel cells. International Journal of Hydrogen Energy. 36(16). 9916–9925. 38 indexed citations
12.
Heo, Yu Jung, Ji Hyeon Ju, Kyung Su Park, et al.. (2009). NF-{kappa}B inhibition leads to increased synthesis and secretion of MIF in human CD4+T cells. The Journal of Immunology. 182. 4 indexed citations
13.
Kim, Sung Il, Joon Hyeok Kwak, Hee-Jun Na, et al.. (2009). Transforming Growth Factor-β (TGF-β1) Activates TAK1 via TAB1-mediated Autophosphorylation, Independent of TGF-β Receptor Kinase Activity in Mesangial Cells. Journal of Biological Chemistry. 284(33). 22285–22296. 69 indexed citations
14.
Kim, Sung Il, Joon Hyeok Kwak, Lin Wang, & Mary E. Choi. (2008). Protein Phosphatase 2A Is a Negative Regulator of Transforming Growth Factor-β1-induced TAK1 Activation in Mesangial Cells. Journal of Biological Chemistry. 283(16). 10753–10763. 46 indexed citations
15.
Kwak, Joon Hyeok, Sung Il Kim, Jin Kuk Kim, & Mary E. Choi. (2008). BAT3 Interacts with Transforming Growth Factor-β (TGF-β) Receptors and Enhances TGF-β1-induced Type I Collagen Expression in Mesangial Cells. Journal of Biological Chemistry. 283(28). 19816–19825. 21 indexed citations
16.
Kim, Sung Il, et al.. (2007). TGF-β-activated kinase 1 and TAK1-binding protein 1 cooperate to mediate TGF-β1-induced MKK3-p38 MAPK activation and stimulation of type I collagen. American Journal of Physiology-Renal Physiology. 292(5). F1471–F1478. 111 indexed citations
17.
Lee, Byeong‐Joo, Bo Sundman, Sung Il Kim, & Kwang‐Geun Chin. (2007). Thermodynamic Calculations on the Stability of Cu2S in Low Carbon Steels. ISIJ International. 47(1). 163–171. 36 indexed citations
18.
Kim, Hong Pyo, Xue Wang, Atsunori Nakao, et al.. (2005). Caveolin-1 expression by means of p38β mitogen-activated protein kinase mediates the antiproliferative effect of carbon monoxide. Proceedings of the National Academy of Sciences. 102(32). 11319–11324. 93 indexed citations
19.
Wang, Lin, Joon Hyeok Kwak, Sung Il Kim, Yanjuan He, & Mary E. Choi. (2004). Transforming Growth Factor-β1 Stimulates Vascular Endothelial Growth Factor 164 via Mitogen-activated Protein Kinase Kinase 3-p38α and p38δ Mitogen-activated Protein Kinase-dependent Pathway in Murine Mesangial Cells. Journal of Biological Chemistry. 279(32). 33213–33219. 50 indexed citations
20.
Lim, Young Hee, Kenji Hirose, Hidemasa Izumiya, et al.. (2003). Multiplex polymerase chain reaction assay for selective detection of Salmonella enterica serovar typhimurium.. PubMed. 56(4). 151–5. 73 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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