Jeong-ok Cha

404 total citations
11 papers, 245 citations indexed

About

Jeong-ok Cha is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Jeong-ok Cha has authored 11 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Infectious Diseases, 5 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Jeong-ok Cha's work include Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Bacterial biofilms and quorum sensing (4 papers). Jeong-ok Cha is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Bacterial biofilms and quorum sensing (4 papers). Jeong-ok Cha collaborates with scholars based in South Korea and United States. Jeong-ok Cha's co-authors include Younghee Jung, Yeong Seon Lee, Yong‐Keun Park, Gyung Tae Chung, Jae Il Yoo, Bongsu Kim, Kyeongmin Lee, Taesoo Kwon, Ok Park and Sun‐Young Han and has published in prestigious journals such as Scientific Reports, Journal of Applied Microbiology and Journal of Medical Microbiology.

In The Last Decade

Jeong-ok Cha

10 papers receiving 241 citations

Peers

Jeong-ok Cha
Risma Ikawaty Netherlands
Qun Wang China
Sonja M.K. Schoenfelder Germany
Karina Krziwanek Austria
Deborah Kreft Netherlands
Raiane Cardoso Chamon Brazil
Hélène Moisan Canada
Fabian Landman Netherlands
Risma Ikawaty Netherlands
Jeong-ok Cha
Citations per year, relative to Jeong-ok Cha Jeong-ok Cha (= 1×) peers Risma Ikawaty

Countries citing papers authored by Jeong-ok Cha

Since Specialization
Citations

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

Fields of papers citing papers by Jeong-ok Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeong-ok Cha. 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 Jeong-ok Cha. The network helps show where Jeong-ok Cha may publish in the future.

Co-authorship network of co-authors of Jeong-ok Cha

This figure shows the co-authorship network connecting the top 25 collaborators of Jeong-ok Cha. A scholar is included among the top collaborators of Jeong-ok Cha 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 Jeong-ok Cha. Jeong-ok Cha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Sim, Jae Kyeom, Hye Sun Lee, Jin Gwack, et al.. (2024). Comparative Analysis of Clinical Outcomes Using Propensity Score Matching: Coronavirus Disease 2019 vs. Seasonal Influenza in Korea. Journal of Korean Medical Science. 39(14). e128–e128.
2.
Lee, Hye Sun, Jin Gwack, Bryan Kim, et al.. (2023). Impact of Nonpharmacological Interventions on Severe Acute Respiratory Infections in Children: From the National Surveillance Database. Journal of Korean Medical Science. 38(40). e311–e311. 3 indexed citations
3.
Park, Su‐Jin, Jeong-ok Cha, Yoon‐Seok Chung, et al.. (2022). Characteristics of recent HIV infection among individuals newly diagnosed as HIV-positive in South Korea (2008–2015). Scientific Reports. 12(1). 10515–10515. 6 indexed citations
4.
Cha, Jeong-ok, et al.. (2020). Characteristics of Adolescents and Young adults with HIV in the Republic of Korea from 2010 through 2015. Scientific Reports. 10(1). 9384–9384. 11 indexed citations
5.
Kwon, Taesoo, Ji Yang, Sanghyun Lee, et al.. (2016). Complete Genome Sequence of Klebsiella pneumoniae subsp. pneumoniae KP617, Coproducing OXA-232 and NDM-1 Carbapenemases, Isolated in South Korea. Genome Announcements. 4(1). 20 indexed citations
6.
Cha, Jeong-ok, et al.. (2014). Characterization of antibiotic resistant Staphylococcus aureus isolates from ready-to-eat foods in Korea. Journal of the Korean Society for Applied Biological Chemistry. 57(3). 387–395. 3 indexed citations
7.
Cha, Jeong-ok, et al.. (2013). Diversity of Tn1546 in vanA-positive Enterococcus faecium clinical isolates with VanA, VanB, and VanD phenotypes and susceptibility to vancomycin. Journal of Applied Microbiology. 115(4). 969–976. 16 indexed citations
8.
Cha, Jeong-ok, et al.. (2012). Comparison of genetic epidemiology of vancomycin-resistant Enterococcus faecium isolates from humans and poultry. Journal of Medical Microbiology. 61(8). 1121–1128. 19 indexed citations
9.
Cha, Jeong-ok, Yong‐Keun Park, Yeong Seon Lee, & Gyung Tae Chung. (2011). In vitro biofilm formation and bactericidal activities of methicillin-resistant Staphylococcus aureus clones prevalent in Korea. Diagnostic Microbiology and Infectious Disease. 70(1). 112–118. 37 indexed citations
10.
Cha, Jeong-ok, Sun‐Young Han, Kyeongmin Lee, et al.. (2010). Nationwide surveillance study of vancomycin intermediate Staphylococcus aureus strains in Korean hospitals from 2001 to 2006.. PubMed. 20(3). 637–42. 31 indexed citations
11.
Cha, Jeong-ok, et al.. (2006). Molecular analysis of Staphylococcus aureus isolates associated with staphylococcal food poisoning in South Korea. Journal of Applied Microbiology. 101(4). 864–871. 99 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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