Songmi Kim

445 total citations
20 papers, 367 citations indexed

About

Songmi Kim is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Songmi Kim has authored 20 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Organic Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Songmi Kim's work include RNA and protein synthesis mechanisms (5 papers), Chemical Synthesis and Analysis (4 papers) and Computational Drug Discovery Methods (4 papers). Songmi Kim is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), Chemical Synthesis and Analysis (4 papers) and Computational Drug Discovery Methods (4 papers). Songmi Kim collaborates with scholars based in South Korea, United States and Australia. Songmi Kim's co-authors include Keun Woo Lee, Yuno Lee, Mahreen Arooj, Sugunadevi Sakkiah, Sundarapandian Thangapandian, Shalini John, Dong‐Ha Oh, Sang Yeol Lee, Dae‐Jin Yun and Hyeong Cheol Park and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and International Journal of Molecular Sciences.

In The Last Decade

Songmi Kim

20 papers receiving 365 citations

Peers

Songmi Kim

CTM

EDM

S. M. Zahid Hosen Bangladesh

Quoc‐Thai Nguyen Vietnam

Md. Junaid Bangladesh

Srikanth Jupudi India

Sudheer Kumar Katari India

Njogu M. Kimani Kenya

Janosch Achenbach Germany

Kavitha Bharatham South Korea

Shazia Shamas Pakistan

Toheeb A. Balogun Nigeria

S. M. Zahid Hosen Bangladesh

Songmi Kim

283 ×1.3

56 ×0.6

103 ×1.3

CTM

71 ×1.4

40 ×1.4

EDM

Citations per year, relative to Songmi Kim Songmi Kim (= 1×) peers S. M. Zahid Hosen

Countries citing papers authored by Songmi Kim

Since Specialization

Citations

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

Fields of papers citing papers by Songmi Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Songmi Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Songmi Kim. A scholar is included among the top collaborators of Songmi 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 Songmi Kim. Songmi Kim 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

Lee, Yuno, et al.. (2018). Identification of Novel Human HDAC8 Inhibitors by Pharmacophore‐based Virtual Screening and Density Functional Theory Approaches. Bulletin of the Korean Chemical Society. 39(2). 197–206. 5 indexed citations

Ali, Akhtar, Natalia Raddatz, Rashid Aman, et al.. (2016). A Single Amino-Acid Substitution in the Sodium Transporter HKT1 Associated with Plant Salt Tolerance. PLANT PHYSIOLOGY. 171(3). 2112–2126. 75 indexed citations

Lee, Yuno, Joong‐jae Lee, Songmi Kim, et al.. (2014). Dissecting the Critical Factors for Thermodynamic Stability of Modular Proteins Using Molecular Modeling Approach. PLoS ONE. 9(5). e98243–e98243. 19 indexed citations

Arooj, Mahreen, et al.. (2014). Finding off‐targets, biological pathways, and target diseases for chymase inhibitors via structure‐based systems biology approach. Proteins Structure Function and Bioinformatics. 83(7). 1209–1224. 14 indexed citations

Byun, Sung June, Minjae Kim, Songmi Kim, et al.. (2014). Generation of a chickenized catalytic anti-nucleic acid antibody by complementarity-determining region grafting. Molecular Immunology. 63(2). 513–520. 5 indexed citations

Lee, Yuno, Songmi Kim, Jun Young Kim, et al.. (2014). Binding Mode Analyses and Pharmacophore Model Development for Stilbene Derivatives as a Novel and Competitive Class of α-Glucosidase Inhibitors. PLoS ONE. 9(1). e85827–e85827. 34 indexed citations

Sohn, Y. S., Chanin Park, Yuno Lee, et al.. (2013). Multi-conformation dynamic pharmacophore modeling of the peroxisome proliferator-activated receptor γ for the discovery of novel agonists. Journal of Molecular Graphics and Modelling. 46. 1–9. 13 indexed citations

Arooj, Mahreen, et al.. (2013). A Combination of Receptor-Based Pharmacophore Modeling & QM Techniques for Identification of Human Chymase Inhibitors. PLoS ONE. 8(4). e63030–e63030. 45 indexed citations

Arooj, Mahreen, et al.. (2013). Molecular Modeling Study for Inhibition Mechanism of Human Chymase and Its Application in Inhibitor Design. PLoS ONE. 8(4). e62740–e62740. 17 indexed citations

10.

Chen, Ji, Woo Young Bang, Yuno Lee, et al.. (2013). AtObgC-AtRSH1 interaction may play a vital role in stress response signal transduction in Arabidopsis. Plant Physiology and Biochemistry. 74. 176–184. 21 indexed citations

11.

Lee, Yuno, Songmi Kim, Jeong Chan Moon, et al.. (2012). Comparative Molecular Modeling Study of Arabidopsis NADPH-Dependent Thioredoxin Reductase and Its Hybrid Protein. PLoS ONE. 7(9). e46279–e46279. 4 indexed citations

12.

Sakkiah, Sugunadevi, C. Meganathan, Yuno Lee, Songmi Kim, & Keun Woo Lee. (2012). Molecular modeling study for conformational changes of Sirtuin 2 due to substrate and inhibitor binding. Journal of Biomolecular Structure and Dynamics. 30(3). 235–254. 16 indexed citations

13.

Kim, Songmi, Yuno Lee, Hyejin Park, et al.. (2012). Identification of blocker binding site in mouse TRESK by molecular modeling and mutational studies. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1828(3). 1131–1142. 13 indexed citations

14.

Kim, Songmi, Yuno Lee, Minky Son, et al.. (2011). Binding conformation prediction between human acetylcholinesterase and cytochrome c using molecular modeling methods. Journal of Molecular Graphics and Modelling. 29(8). 996–1005. 3 indexed citations

15.

Thangapandian, Sundarapandian, Shalini John, Yuno Lee, Songmi Kim, & Keun Woo Lee. (2011). Dynamic Structure-Based Pharmacophore Model Development: A New and Effective Addition in the Histone Deacetylase 8 (HDAC8) Inhibitor Discovery. International Journal of Molecular Sciences. 12(12). 9440–9462. 40 indexed citations

16.

Kim, Songmi, et al.. (2010). Computational approach to ensure the stability of the favorable ATP binding site in E. coli Hfq. Journal of Molecular Graphics and Modelling. 29(4). 573–580. 4 indexed citations

17.

Lee, Yuno, Woo Young Bang, Songmi Kim, et al.. (2010). Molecular Modeling Study for Interaction between Bacillus subtilis Obg and Nucleotides. PLoS ONE. 5(9). e12597–e12597. 11 indexed citations

18.

Kim, Jun Young, Ji‐Won Lee, Young Soo Kim, et al.. (2010). A Novel Competitive Class of α‐Glucosidase Inhibitors: (E)‐1‐Phenyl‐3‐(4‐Styrylphenyl)Urea Derivatives. ChemBioChem. 11(15). 2125–2131. 18 indexed citations

19.

Eum, Heesung, Yuno Lee, Songmi Kim, et al.. (2010). Synthesis of Substituted Imidazolidin-2-ones as Aminoacyl-tRNA Synthase Inhibitors. Bulletin of the Korean Chemical Society. 31(3). 611–614. 6 indexed citations

20.

Kim, Songmi, et al.. (2009). Molecular modeling study on the effect of residues distant from the nucleotide-binding portion on RNA binding in Staphylococcus aureus Hfq. Journal of Molecular Graphics and Modelling. 28(3). 253–260. 4 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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