Sung-Mi Choi

589 total citations
29 papers, 429 citations indexed

About

Sung-Mi Choi is a scholar working on Molecular Biology, Ecology and Infectious Diseases. According to data from OpenAlex, Sung-Mi Choi has authored 29 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Ecology and 4 papers in Infectious Diseases. Recurrent topics in Sung-Mi Choi's work include Genomics and Phylogenetic Studies (6 papers), Natural product bioactivities and synthesis (4 papers) and Microbial Community Ecology and Physiology (4 papers). Sung-Mi Choi is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Natural product bioactivities and synthesis (4 papers) and Microbial Community Ecology and Physiology (4 papers). Sung-Mi Choi collaborates with scholars based in South Korea, Japan and United States. Sung-Mi Choi's co-authors include Hana Yi, Jeong‐Dan Cha, Eunjin Jang, Min‐Jeong Shin, Kyung‐Yeol Lee, Eunji Kim, Miran Jeong, Hye‐Ryun Kang, Sang‐Heon Cho and Kyoung‐Hee Sohn and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Allergy and Clinical Immunology.

In The Last Decade

Sung-Mi Choi

27 papers receiving 420 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-Mi Choi South Korea 12 212 70 63 62 54 29 429
Yin Yong China 14 228 1.1× 48 0.7× 70 1.1× 19 0.3× 39 0.7× 39 624
Chongpeng Bi China 15 351 1.7× 93 1.3× 62 1.0× 22 0.4× 81 1.5× 27 673
Shuxin Zhou China 13 274 1.3× 114 1.6× 24 0.4× 47 0.8× 72 1.3× 24 558
Dharmaprakash Viszwapriya India 11 310 1.5× 74 1.1× 28 0.4× 43 0.7× 42 0.8× 14 543
D Iannello Italy 12 146 0.7× 87 1.2× 25 0.4× 42 0.7× 90 1.7× 37 570
Bocheng Xu China 17 378 1.8× 140 2.0× 75 1.2× 29 0.5× 60 1.1× 43 803
Soheil Varasteh Netherlands 13 245 1.2× 81 1.2× 132 2.1× 32 0.5× 156 2.9× 20 813
Sungmin Moon South Korea 8 156 0.7× 55 0.8× 38 0.6× 15 0.2× 38 0.7× 12 312
Marı́a A. Puertollano Spain 14 231 1.1× 122 1.7× 37 0.6× 14 0.2× 37 0.7× 20 576
Na‐Hye Park South Korea 11 135 0.6× 75 1.1× 15 0.2× 27 0.4× 44 0.8× 27 338

Countries citing papers authored by Sung-Mi Choi

Since Specialization
Citations

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

Fields of papers citing papers by Sung-Mi Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung-Mi Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Mi Choi. A scholar is included among the top collaborators of Sung-Mi Choi 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-Mi Choi. Sung-Mi Choi 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.
Choi, Sung-Mi, et al.. (2022). Human Alphacoronavirus Universal Primers for Genome Amplification and Sequencing. Frontiers in Microbiology. 13. 789665–789665. 2 indexed citations
2.
Lee, Hyun Woo, Sung-Mi Choi, Kyoung‐Hee Sohn, et al.. (2022). Peripheral blood transcriptomic clusters uncovered immune phenotypes of asthma. Respiratory Research. 23(1). 237–237. 6 indexed citations
3.
Kim, Jihyun, Sung-Mi Choi, Jaehyun Park, et al.. (2021). Interactions between NCR+ILC3s and the Microbiome in the Airways Shape Asthma Severity. Immune Network. 21(4). e25–e25. 8 indexed citations
4.
Cho, Sung‐Woo, Dong‐Young Kim, Sung-Mi Choi, et al.. (2021). Microbiome profiling of uncinate tissue and nasal polyps in patients with chronic rhinosinusitis using swab and tissue biopsy. PLoS ONE. 16(4). e0249688–e0249688. 13 indexed citations
5.
Choi, Sung-Mi, Kyoung‐Hee Sohn, Jae‐Woo Jung, et al.. (2021). Lung virome: New potential biomarkers for asthma severity and exacerbation. Journal of Allergy and Clinical Immunology. 148(4). 1007–1015.e9. 35 indexed citations
6.
Choi, Sung-Mi, et al.. (2021). Distribution of bacteriocin genes in the lineages of Lactiplantibacillus plantarum. Scientific Reports. 11(1). 20063–20063. 25 indexed citations
7.
Choi, Sung-Mi, Imchang Lee, Keun Bon Ku, et al.. (2021). A Half-Day Genome Sequencing Protocol for Middle East Respiratory Syndrome Coronavirus. Frontiers in Microbiology. 12. 602754–602754. 4 indexed citations
8.
Lee, Kyung‐Yeol, et al.. (2018). Antibacterial Activity of the Ethanol Extract of Paeonia lactiflora on Growth of Oral Bacteria. 2(2). 2 indexed citations
9.
Cha, Jeong‐Dan, et al.. (2017). Antimicrobial Activity of Sophora Japonica Extract Against Oral Bacteria. 4(2). 1–9. 2 indexed citations
10.
Choi, Sung-Mi, et al.. (2017). Difference in the Gut Microbiome between Ovariectomy-Induced Obesity and Diet-Induced Obesity. Journal of Microbiology and Biotechnology. 27(12). 2228–2236. 72 indexed citations
11.
Choi, Sung-Mi, et al.. (2017). Thalassotalea crassostreae sp. nov., isolated from Pacific oyster. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 67(7). 2195–2198. 10 indexed citations
12.
Choi, Sung-Mi, Sang‐Heon Cho, & Hana Yi. (2016). Human microbiome studies in Korea. Allergy Asthma & Respiratory Disease. 4(5). 311–311. 4 indexed citations
13.
Kim, Eunji, et al.. (2016). Cochleicola gelatinilyticus gen. nov., sp. nov., Isolated from a Marine Gastropod, Reichia luteostoma. Journal of Microbiology and Biotechnology. 26(8). 1439–1445. 20 indexed citations
14.
Choi, Sung-Mi, et al.. (2016). Flavobacterium crassostreae sp. nov., isolated from Pacific oyster. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 67(4). 988–992. 11 indexed citations
15.
Choi, Sung-Mi, Jin Woo Bae, Chang‐Jun Cha, et al.. (2016). A report of 10 unrecorded bacterial species of Korea, belonging to the phylum Firmicutes. Zenodo (CERN European Organization for Nuclear Research). 5(2). 235–240. 1 indexed citations
16.
Jang, Eunjin, et al.. (2014). Combination effects of baicalein with antibiotics against oral pathogens. Archives of Oral Biology. 59(11). 1233–1241. 43 indexed citations
17.
Cha, Jeong‐Dan, et al.. (2014). Synergistic Effect between Cryptotanshinone and Antibiotics against Clinic Methicillin and Vancomycin‐Resistant Staphylococcus aureus. Evidence-based Complementary and Alternative Medicine. 2014(1). 450572–450572. 49 indexed citations
18.
Cha, Jeong‐Dan, et al.. (2014). Combination of Acacetin with Antibiotics against Methicillin Resistant <i>Staphylococcus aureus</i> Isolated from Clinical Specimens. Advances in Bioscience and Biotechnology. 5(4). 398–408. 9 indexed citations
19.
Lee, Kyung‐Yeol, et al.. (2013). Synergistic effect of fucoidan with antibiotics against oral pathogenic bacteria. Archives of Oral Biology. 58(5). 482–492. 47 indexed citations
20.
Park, Soo-Chul, et al.. (2011). A Study on Dental Health and Chewing ability of Patients Hospitalized in Geriatric Hospital of Daegu. Journal of Korean Acedemy of Dental Technology. 33(3). 237–246.

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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