Sun-Mi Kim

854 total citations
46 papers, 484 citations indexed

About

Sun-Mi Kim is a scholar working on Surgery, Infectious Diseases and Immunology. According to data from OpenAlex, Sun-Mi Kim has authored 46 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 9 papers in Infectious Diseases and 7 papers in Immunology. Recurrent topics in Sun-Mi Kim's work include Tuberculosis Research and Epidemiology (5 papers), Cholesterol and Lipid Metabolism (4 papers) and Synthesis and Reactivity of Heterocycles (3 papers). Sun-Mi Kim is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), Cholesterol and Lipid Metabolism (4 papers) and Synthesis and Reactivity of Heterocycles (3 papers). Sun-Mi Kim collaborates with scholars based in South Korea, United States and Japan. Sun-Mi Kim's co-authors include Koanhoi Kim, Seong Kug Eo, Yonghae Son, Bo-Young Kim, Jim Higgins, Andrew D. Smith, Joseph M. Serletti, H. Raul Herrera, Christopher J. Salgado and Il‐Chan Kim and has published in prestigious journals such as Clinical Infectious Diseases, Biochemical and Biophysical Research Communications and The Journal of Organic Chemistry.

In The Last Decade

Sun-Mi Kim

42 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun-Mi Kim South Korea 14 196 109 88 64 46 46 484
Chunling Wu China 16 62 0.3× 131 1.2× 56 0.6× 34 0.5× 27 0.6× 28 465
Shiu‐Jau Chen Taiwan 13 51 0.3× 81 0.7× 36 0.4× 30 0.5× 78 1.7× 45 375
Robert Chin United States 10 72 0.4× 182 1.7× 42 0.5× 29 0.5× 124 2.7× 15 456
Un Suk Jung South Korea 14 99 0.5× 434 4.0× 104 1.2× 26 0.4× 77 1.7× 41 890
Randall G. Rupp United States 12 156 0.8× 195 1.8× 47 0.5× 10 0.2× 80 1.7× 21 539
Yujie Fan China 12 38 0.2× 279 2.6× 40 0.5× 61 1.0× 139 3.0× 31 597
Xiaowen Liu China 13 46 0.2× 151 1.4× 151 1.7× 134 2.1× 279 6.1× 53 722
Yue Zhuo China 10 21 0.1× 94 0.9× 57 0.6× 38 0.6× 60 1.3× 36 343
Lars Franken Germany 7 68 0.3× 130 1.2× 197 2.2× 24 0.4× 46 1.0× 9 438
Yuko Yamauchi Japan 13 148 0.8× 185 1.7× 35 0.4× 88 1.4× 48 1.0× 38 567

Countries citing papers authored by Sun-Mi Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sun-Mi Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sun-Mi Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Sun-Mi Kim. A scholar is included among the top collaborators of Sun-Mi 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 Sun-Mi Kim. Sun-Mi 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, Dong-Hyun, Gi Hong Choi, Han Na Lee, et al.. (2025). Treatment of IL-18-binding protein biologics suppresses fibrotic progression in metabolic dysfunction-associated steatohepatitis. Cell Reports Medicine. 6(4). 102047–102047. 3 indexed citations
2.
3.
Lee, Yong‐Hun, et al.. (2022). Comprehensive analysis of mycobacterium tuberculosis antigen-specific CD4+ T cell responses restricted by single HLA class II allotype in an individual. Frontiers in Immunology. 13. 897781–897781. 3 indexed citations
4.
Lee, Jeong Hwa, Sun-Mi Kim, Dong-Hee Lee, et al.. (2021). Anti-amyloidogenic indolizino[3,2-c]quinolines as imaging probes differentiating dense-core, diffuse, and coronal plaques of amyloid-β. RSC Medicinal Chemistry. 12(11). 1926–1934. 5 indexed citations
5.
Suh, Sung‐Suk, Ju‐Mi Hong, Eun Jae Kim, et al.. (2018). Anti-inflammation and Anti-Cancer Activity of Ethanol Extract of Antarctic Freshwater Microalga, Micractinium sp.. International Journal of Medical Sciences. 15(9). 929–936. 37 indexed citations
6.
Kim, Sun-Mi, et al.. (2017). Quantitative analysis of prompt gamma ray imaging during proton boron fusion therapy according to boron concentration. Oncotarget. 9(3). 3089–3096. 2 indexed citations
7.
Suh, Sung‐Suk, Sun-Mi Kim, Jung Eun Kim, et al.. (2017). Anticancer activities of ethanol extract from the Antarctic freshwater microalga, Botryidiopsidaceae sp.. BMC Complementary and Alternative Medicine. 17(1). 509–509. 24 indexed citations
8.
Yu, Shi Nae, Jiwon Jung, Yong-Kyun Kim, et al.. (2015). Diagnostic Usefulness of IFN-Gamma Releasing Assays Compared With Conventional Tests in Patients With Disseminated Tuberculosis. Medicine. 94(28). e1094–e1094. 11 indexed citations
9.
Kim, Sun-Mi, et al.. (2014). 27-Hydroxycholesterol up-regulates CD14 and predisposes monocytic cells to superproduction of CCL2 in response to lipopolysaccharide. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1852(3). 442–450. 24 indexed citations
10.
11.
Kim, Sun-Mi, et al.. (2013). Alternative Xeno-Free Biomaterials Derived from Human Umbilical Cord for the Self-Renewal Ex-vivo Expansion of Mesenchymal Stem Cells. Stem Cells and Development. 22(22). 3025–3038. 25 indexed citations
12.
Kim, Sun-Mi, et al.. (2011). Factors Influencing Length of Stay at the Recovery Room among Elderly Patients Undergone General Anesthesia. Korean Journal of Adult Nursing. 23(1). 87–99. 8 indexed citations
13.
Kim, Sun-Mi, et al.. (2010). A Case of Acute Renal Failure Complicated by the Poisoning of Amanita virgineoides. Kidney Research and Clinical Practice. 29(1). 140–143. 3 indexed citations
14.
Park, Junsoo, et al.. (2010). Kaposi’s sarcoma-associated herpesvirus viral protein kinase interacts with RNA helicase a and regulates host gene expression. The Journal of Microbiology. 48(2). 206–212. 14 indexed citations
15.
Kim, Sun-Mi, et al.. (2006). Three Cases Report of Molluscum Contagiosum Children treated by Gwakhyangjeonggisangamibang. The Journal of Pediatrics of Korean Medicine. 20(3). 11–22. 1 indexed citations
16.
Kim, Sun-Mi, et al.. (2005). A clinical study on the effect of Ondam-tang on anxiety disorder in adolescence. The Journal of Pediatrics of Korean Medicine. 19(2). 153–163. 2 indexed citations
17.
Kim, Sun-Mi, et al.. (2004). Analysis and Evaluation of the Reliability of Medical Information on Food Allergies on the Internet. Korean Journal of Pediatrics. 47(8). 868–872.
18.
Kim, Hyunsoo, et al.. (2003). HLA-A, -B, -DR Allele Frequencies and Haplotypic Associations in Koreans Defined by Generic-Level DNA Typing. The Korean Journal of Laboratory Medicine. 23(6). 420–430. 17 indexed citations
19.
Lee, Jong‐Un, et al.. (2002). Altered Expression Of Vascular Natriuretic Peptide Receptors In Experimental Hypertensive Rats. Clinical and Experimental Pharmacology and Physiology. 29(4). 299–303. 9 indexed citations
20.
Lee, Jong Un, et al.. (2001). Increased Expression of Nitric Oxide Synthases in Left and Right Ventricular Hypertrophy. Korean Journal of Physiology and Pharmacology. 5(1). 65–70. 1 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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