Eun‐Kyong Kim

1.2k total citations
64 papers, 834 citations indexed

About

Eun‐Kyong Kim is a scholar working on Periodontics, Molecular Biology and Oral Surgery. According to data from OpenAlex, Eun‐Kyong Kim has authored 64 papers receiving a total of 834 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Periodontics, 10 papers in Molecular Biology and 9 papers in Oral Surgery. Recurrent topics in Eun‐Kyong Kim's work include Dental Health and Care Utilization (24 papers), Oral microbiology and periodontitis research (21 papers) and Oral health in cancer treatment (5 papers). Eun‐Kyong Kim is often cited by papers focused on Dental Health and Care Utilization (24 papers), Oral microbiology and periodontitis research (21 papers) and Oral health in cancer treatment (5 papers). Eun‐Kyong Kim collaborates with scholars based in South Korea, United States and China. Eun‐Kyong Kim's co-authors include Youn‐Hee Choi, Christopher Switzer, Ramanarayanan Krishnamurthy, Clémentine Gibard, Megha Karki, Subhendu Bhowmik, Heekyung Lee, Keun‐Bae Song, Seong‐Hwa Jeong and Kyeong‐Soo Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Eun‐Kyong Kim

59 papers receiving 810 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eun‐Kyong Kim South Korea 16 275 240 149 87 71 64 834
К. Г. Гуревич Russia 11 88 0.3× 52 0.2× 7 0.0× 42 0.5× 41 0.6× 146 520
Xianjin Xie United States 9 41 0.1× 102 0.4× 33 0.2× 46 0.5× 11 0.2× 19 492
Thomas T. Nguyen United States 15 119 0.4× 87 0.4× 47 0.5× 141 2.0× 44 723
Panpan Wang China 17 306 1.1× 18 0.1× 4 0.0× 49 0.6× 7 0.1× 88 959
Kenjiro Sato Japan 18 196 0.7× 159 0.7× 14 0.2× 63 0.9× 48 869
Ayesha Iqbal Pakistan 15 119 0.4× 5 0.0× 71 0.5× 26 0.3× 15 0.2× 73 712
Apurva Garg India 8 128 0.5× 202 0.8× 13 0.1× 39 0.5× 21 622
Jaqueline Schölz Issa Brazil 15 157 0.6× 48 0.2× 35 0.4× 7 0.1× 64 548
M. S. Vidyasagar India 21 214 0.8× 72 0.3× 87 1.0× 31 0.4× 61 1.6k
Álvaro J. Ruiz Colombia 17 102 0.4× 47 0.2× 87 1.0× 4 0.1× 101 966

Countries citing papers authored by Eun‐Kyong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Eun‐Kyong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eun‐Kyong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Eun‐Kyong Kim. A scholar is included among the top collaborators of Eun‐Kyong 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 Eun‐Kyong Kim. Eun‐Kyong 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.
Jeong, Sungmoon, et al.. (2024). Diagnostic accuracy of dental caries detection using ensemble techniques in deep learning with intraoral camera images. PLoS ONE. 19(9). e0310004–e0310004. 1 indexed citations
2.
Sakong, Joon, et al.. (2024). Effects of waterline flushing and related factors in dental units on bacterial counts in dental water. Journal of Korean Academy of Oral Health. 48(1). 3–8.
3.
4.
Zhang, Haibo, Jun Koo Yi, Hai Huang, et al.. (2023). Rhein Induces Oral Cancer Cell Apoptosis and ROS via Suppresse AKT/mTOR Signaling Pathway In Vitro and In Vivo. International Journal of Molecular Sciences. 24(10). 8507–8507. 29 indexed citations
5.
Zhang, Haibo, Hyeon-Jin Kim, Siyong Kim, et al.. (2023). Silibinin induces oral cancer cell apoptosis and reactive oxygen species generation by activating the JNK/c-Jun pathway. Journal of Cancer. 14(10). 1875–1887. 7 indexed citations
6.
Kim, Eun‐Kyong, Hoi‐In Jung, Song Vogue Ahn, et al.. (2022). Incidence of edentulism among older adults using the Korean National Health Insurance Service database, 2013-2018. Epidemiology and Health. 44. e2022091–e2022091. 3 indexed citations
7.
Jeong, Sungmoon, et al.. (2022). Caries detection with tooth surface segmentation on intraoral photographic images using deep learning. BMC Oral Health. 22(1). 573–573. 36 indexed citations
8.
Kim, Young-Seok, et al.. (2020). Association between Periodontal Health and Stroke: Results from the 2013–2015 Korea National Health and Nutrition Examination Survey (KNHANES). Journal of Dental Sciences. 16(1). 268–274. 12 indexed citations
9.
Park, Eunyoung, et al.. (2020). Effects of the professional oral care management program on patients with head and neck cancer after radiotherapy: A 12-month follow-up. Journal of Dental Sciences. 16(1). 453–459. 14 indexed citations
10.
Kim, Eun‐Kyong, et al.. (2018). Effects of professional oral hygiene care in patients with head-and-neck cancer during radiotherapy: A randomized clinical trial. Indian Journal of Dental Research. 29(6). 700–700. 9 indexed citations
11.
Choi, Youn‐Hee, et al.. (2018). Factors affecting use of word-of-mouth by dental patients. International Dental Journal. 68(5). 314–319. 7 indexed citations
12.
Choi, Youn‐Hee, et al.. (2018). Lead exposure may affect gingival health in children. BMC Oral Health. 18(1). 79–79. 18 indexed citations
13.
Jung, Eun‐Kyung, et al.. (2018). Relationship between the activities of daily living, oral health‐related quality of life and dementia. Geriatrics and gerontology international. 18(6). 943–949. 17 indexed citations
14.
Gibard, Clémentine, Subhendu Bhowmik, Megha Karki, Eun‐Kyong Kim, & Ramanarayanan Krishnamurthy. (2017). Phosphorylation, oligomerization and self-assembly in water under potential prebiotic conditions. Nature Chemistry. 10(2). 212–217. 176 indexed citations
15.
Kim, Eun‐Kyong, Vincent Martin, & Ramanarayanan Krishnamurthy. (2017). Orotidine‐Containing RNA: Implications for the Hierarchical Selection (Systems Chemistry Emergence) of RNA. Chemistry - A European Journal. 23(51). 12668–12675. 9 indexed citations
16.
Kim, Eun‐Kyong, Sang Gyu Lee, Seong‐Hwa Jeong, et al.. (2016). Dental amalgam exposure can elevate urinary mercury concentrations in children. International Dental Journal. 66(3). 136–143. 4 indexed citations
17.
Kim, Eun‐Kyong, et al.. (2015). Relationship between bone mineral density, its associated physiological factors, and tooth loss in postmenopausal Korean women. BMC Women s Health. 15(1). 65–65. 20 indexed citations
18.
Jang, Eunjin, Eun‐Kyong Kim, Kyeong‐Soo Lee, et al.. (2015). Oral health related quality of life and it’s related factors of stroke patients at home in Korea. Archives of Gerontology and Geriatrics. 61(3). 523–528. 11 indexed citations
19.
Jeong, Seong‐Hwa, et al.. (2014). Burnout and its related factors in Korean dentists. International Dental Journal. 65(1). 22–31. 56 indexed citations
20.
Kim, Eun‐Kyong, Sang Gyu Lee, Youn‐Hee Choi, et al.. (2013). Association between diabetes-related factors and clinical periodontal parameters in type-2 diabetes mellitus. BMC Oral Health. 13(1). 64–64. 59 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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