Sung‐Kun Kim

1.6k total citations
62 papers, 1.2k citations indexed

About

Sung‐Kun Kim is a scholar working on Molecular Biology, Plant Science and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Sung‐Kun Kim has authored 62 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 9 papers in Plant Science and 9 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Sung‐Kun Kim's work include Advanced biosensing and bioanalysis techniques (8 papers), Metalloenzymes and iron-sulfur proteins (8 papers) and Metal-Catalyzed Oxygenation Mechanisms (7 papers). Sung‐Kun Kim is often cited by papers focused on Advanced biosensing and bioanalysis techniques (8 papers), Metalloenzymes and iron-sulfur proteins (8 papers) and Metal-Catalyzed Oxygenation Mechanisms (7 papers). Sung‐Kun Kim collaborates with scholars based in United States, South Korea and France. Sung‐Kun Kim's co-authors include David B. Knaff, Masakazu Hirasawa, Deepa V. Dabir, Carla M. Koehler, Michael K. Johnson, Frederick D. Tsai, Pil Joo Kim, Nicolas Rouhier, James P. Allen and Thomas Leustek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Sung‐Kun Kim

56 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sung‐Kun Kim United States 19 844 229 225 153 129 62 1.2k
Jürgen Moser Germany 22 1.0k 1.2× 96 0.4× 253 1.1× 137 0.9× 27 0.2× 48 1.4k
Jared Cartwright United Kingdom 19 657 0.8× 115 0.5× 89 0.4× 75 0.5× 30 0.2× 46 1.1k
Tatsuo Nunoshiba Japan 18 1.1k 1.3× 143 0.6× 77 0.3× 37 0.2× 109 0.8× 41 1.6k
Pedro Lamosa Portugal 25 1.0k 1.2× 260 1.1× 72 0.3× 36 0.2× 83 0.6× 53 1.5k
Yong‐Xing He China 20 664 0.8× 193 0.8× 154 0.7× 49 0.3× 32 0.2× 64 1.3k
Lluis Masip Spain 9 441 0.5× 56 0.2× 72 0.3× 68 0.4× 88 0.7× 12 695
Ana M. P. Melo Portugal 18 671 0.8× 108 0.5× 106 0.5× 50 0.3× 36 0.3× 31 940
Régine Lebrun France 24 863 1.0× 156 0.7× 122 0.5× 25 0.2× 61 0.5× 58 1.4k
Rui Wu United States 19 394 0.5× 93 0.4× 195 0.9× 74 0.5× 41 0.3× 42 856
Jason T. Bouvier United States 10 737 0.9× 105 0.5× 65 0.3× 46 0.3× 57 0.4× 11 1.1k

Countries citing papers authored by Sung‐Kun Kim

Since Specialization
Citations

This map shows the geographic impact of Sung‐Kun 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‐Kun 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‐Kun Kim more than expected).

Fields of papers citing papers by Sung‐Kun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung‐Kun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sung‐Kun Kim. A scholar is included among the top collaborators of Sung‐Kun 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‐Kun Kim. Sung‐Kun 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.
Shin, Hyunshun, et al.. (2025). Inhibitory Effect of Novel Dihydroxamate Derivatives for Histone Deacetylase 1. Frontiers in Bioscience-Scholar. 17(2). 38998–38998.
2.
Kim, Sung‐Kun, et al.. (2024). Modulation of Tumor Suppressor Genes by Histone Deacetylase Inhibitors in Cancer Therapy. Journal of Pharmaceutical Research International. 36(11). 1–19. 1 indexed citations
3.
Kim, Sung‐Kun. (2023). New Sight: Enzymes as Targets for Drug Development. Current Issues in Molecular Biology. 45(9). 7650–7652. 2 indexed citations
4.
Shin, Hyunshun, et al.. (2022). Development of Hydroxamic Acid Compounds for Inhibition of Metallo-β-Lactamase from Bacillus anthracis. International Journal of Molecular Sciences. 23(16). 9163–9163. 3 indexed citations
5.
Kim, Sung‐Kun, et al.. (2016). Inhibition ofBacillus anthracismetallo-β-lactamase by compounds with hydroxamic acid functionality. Journal of Enzyme Inhibition and Medicinal Chemistry. 31(sup4). 132–137. 13 indexed citations
6.
Kim, Sung‐Kun, et al.. (2015). Bridged Nucleic Acids (BNAs) as Molecular Tools. 1(3). 67–71. 8 indexed citations
7.
Kim, Sung‐Kun & Jaeil Lee. (2012). Analyzing Secure Coding Initiatives: An Ecosystem Approach. Information Security and Cryptology. 22(5). 1205–1216. 1 indexed citations
8.
Choi, Ji Sun, Pil Joo Kim, Hae‐Chul Park, et al.. (2011). Screening and Characterization of High-Affinity ssDNA Aptamers against Anthrax Protective Antigen. SLAS DISCOVERY. 16(2). 266–271. 32 indexed citations
9.
Son, SeungHyun, et al.. (2011). Biosynthesis of a cholesterol-derived brassinosteroid, 28-norcastasterone, in Arabidopsis thaliana. Journal of Experimental Botany. 63(5). 1823–1833. 24 indexed citations
10.
Kim, Sung‐Kun, et al.. (2009). An Empirical Study on Managerial Factors Affecting Performance of Defense R&D Projects. 16(4). 223–244. 1 indexed citations
11.
Tienson, Heather L., Deepa V. Dabir, Sonya E. Neal, et al.. (2009). Reconstitution of the Mia40-Erv1 Oxidative Folding Pathway for the Small Tim Proteins. Molecular Biology of the Cell. 20(15). 3481–3490. 60 indexed citations
12.
Kim, Pil Joo, Sun Tae Kim, Yiming Wang, et al.. (2009). Overexpression of rice isoflavone reductase-like gene (OsIRL) confers tolerance to reactive oxygen species. Physiologia Plantarum. 138(1). 1–9. 73 indexed citations
13.
Kim, Sun Tae, et al.. (2008). Gene Expression Profiling in Rice Infected with Rice Blast Fungus using SAGE. The Plant Pathology Journal. 24(4). 384–391. 3 indexed citations
14.
Park, Simsoo, et al.. (2007). The Study of Flow Rate Performance and Engine Application with LPG Composition Rate for LPi Fuel Supplying System Consisted of Turbine Type Pump. Transactions of Korean Society of Automotive Engineers. 15(3). 99–105. 2 indexed citations
15.
Hirasawa, Masakazu, et al.. (2007). The role of tryptophan in the ferredoxin-dependent nitrite reductase of spinach. Photosynthesis Research. 94(1). 1–12. 11 indexed citations
16.
Dabir, Deepa V., Sung‐Kun Kim, Frederick D. Tsai, et al.. (2007). A role for cytochrome c and cytochrome c peroxidase in electron shuttling from Erv1. The EMBO Journal. 26(23). 4801–4811. 135 indexed citations
17.
Kim, Sung‐Kun, et al.. (2006). Redox properties of the Rhodobacter sphaeroides transcriptional regulatory proteins PpsR and AppA. Photosynthesis Research. 89(2-3). 89–98. 16 indexed citations
18.
Vizcarra, J.A., J.D. Kirby, Sung‐Kun Kim, & M. L. Galyean. (2006). Active immunization against ghrelin decreases weight gain and alters plasma concentrations of growth hormone in growing pigs. Domestic Animal Endocrinology. 33(2). 176–189. 52 indexed citations
19.
Kim, Sung‐Kun, Masakazu Hirasawa, Richard C. Conover, et al.. (2005). The interaction of 5′-adenylylsulfate reductase from Pseudomonas aeruginosa with its substrates. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1710(2-3). 103–112. 18 indexed citations
20.
Hirasawa, Masakazu, Luis M. Rubio, Enrique Flores, et al.. (2003). Complex formation between ferredoxin and Synechococcus ferredoxin:nitrate oxidoreductase. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1608(2-3). 155–162. 21 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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