Soon‐Ae Shin

1.2k total citations
27 papers, 922 citations indexed

About

Soon‐Ae Shin is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Surgery. According to data from OpenAlex, Soon‐Ae Shin has authored 27 papers receiving a total of 922 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Public Health, Environmental and Occupational Health, 12 papers in General Health Professions and 7 papers in Surgery. Recurrent topics in Soon‐Ae Shin's work include Health and Wellbeing Research (8 papers), Diverse Approaches in Healthcare and Education Studies (7 papers) and Bariatric Surgery and Outcomes (4 papers). Soon‐Ae Shin is often cited by papers focused on Health and Wellbeing Research (8 papers), Diverse Approaches in Healthcare and Education Studies (7 papers) and Bariatric Surgery and Outcomes (4 papers). Soon‐Ae Shin collaborates with scholars based in South Korea, United Kingdom and United States. Soon‐Ae Shin's co-authors include Sang Woo Oh, Yeong Sook Yoon, Taiwoo Yoo, Young Ho Yun, Sang‐Wook Yi, Jee‐Jeon Yi, Jong Heon Park, Heechoul Ohrr, Yeon-Yong Kim and Eun Young Lee and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Soon‐Ae Shin

27 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soon‐Ae Shin South Korea 15 240 230 177 159 154 27 922
Emmanuel Acheampong Ghana 16 195 0.8× 191 0.8× 112 0.6× 57 0.4× 206 1.3× 95 841
Isao Kamae Japan 20 239 1.0× 82 0.4× 79 0.4× 152 1.0× 126 0.8× 69 1.6k
Naomi Brewer New Zealand 14 272 1.1× 321 1.4× 227 1.3× 363 2.3× 83 0.5× 28 1.2k
Jee-Ae Kim South Korea 9 204 0.8× 102 0.4× 105 0.6× 186 1.2× 59 0.4× 12 1.2k
Tarek Nayfeh United States 19 323 1.3× 84 0.4× 81 0.5× 274 1.7× 140 0.9× 66 1.2k
J. Green United Kingdom 6 151 0.6× 401 1.7× 132 0.7× 205 1.3× 162 1.1× 7 1.2k
Siân Sweetland United Kingdom 13 256 1.1× 362 1.6× 129 0.7× 326 2.1× 124 0.8× 19 1.2k
Issei Kurahashi Japan 18 157 0.7× 160 0.7× 99 0.6× 180 1.1× 149 1.0× 36 1.0k
June M. McKoy United States 18 185 0.8× 329 1.4× 150 0.8× 66 0.4× 96 0.6× 60 1.0k
Joan Largent United States 24 114 0.5× 491 2.1× 252 1.4× 356 2.2× 59 0.4× 58 1.5k

Countries citing papers authored by Soon‐Ae Shin

Since Specialization
Citations

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

Fields of papers citing papers by Soon‐Ae Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soon‐Ae Shin. 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 Soon‐Ae Shin. The network helps show where Soon‐Ae Shin may publish in the future.

Co-authorship network of co-authors of Soon‐Ae Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Soon‐Ae Shin. A scholar is included among the top collaborators of Soon‐Ae Shin 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 Soon‐Ae Shin. Soon‐Ae Shin 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, Eun Mi, Ju‐Young Shin, Eui Hyeok Kim, et al.. (2024). Effect of the human papillomavirus vaccine on the risk of genital warts: a nationwide cohort study of Korean adolescent girls. Epidemiology and Health. 46. e2024040–e2024040. 4 indexed citations
3.
Lee, Seulbi, et al.. (2023). The road to recovery: impact of COVID-19 on healthcare utilization in South Korea in 2016–2022 using an interrupted time-series analysis. The Lancet Regional Health - Western Pacific. 41. 100904–100904. 21 indexed citations
5.
Kim, Hyeongsu, Soon‐Ae Shin, Kun-Sei Lee, et al.. (2018). Effects of First Diagnosed Diabetes Mellitus on Medical Visits and Medication Adherence in Korea. SHILAP Revista de lepidopterología. 1 indexed citations
6.
Bahk, Jinwook, Yeon-Yong Kim, Hee‐Yeon Kang, et al.. (2018). Comparison of District-level Smoking Prevalence and Their Income Gaps from Two National Databases: the National Health Screening Database and the Community Health Survey in Korea, 2009–2014. Journal of Korean Medical Science. 33(6). e44–e44. 7 indexed citations
7.
Kim, Kwang-Jae, et al.. (2018). Development of service concepts that utilize health-related data: A case study with the National Health Insurance Service of South Korea. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 8(4). 237–249. 3 indexed citations
8.
Kim, Sun Young, Hong Yup Ahn, Soon‐Ae Shin, Jong Heon Park, & Chang Won Won. (2017). Trends of thromboprophylaxis and complications after major lower limb orthopaedic surgeries in Korea: National Health Insurance Claim Data. Thrombosis Research. 155. 48–52. 17 indexed citations
9.
Bahk, Jinwook, Yeon-Yong Kim, Hee‐Yeon Kang, et al.. (2017). Using the National Health Information Database of the National Health Insurance Service in Korea for Monitoring Mortality and Life Expectancy at National and Local Levels. Journal of Korean Medical Science. 32(11). 1764–1764. 43 indexed citations
10.
Bahk, Jinwook, Yeon-Yong Kim, Hee‐Yeon Kang, et al.. (2017). Prevalence of Overweight and Income Gaps in 245 Districts of Korea: Comparison Using the National Health Screening Database and the Community Health Survey, 2009–2014. Journal of Korean Medical Science. 33(1). e3–e3. 6 indexed citations
11.
Lee, Jae‐woo, et al.. (2017). The development and implementation of stroke risk prediction model in National Health Insurance Service's personal health record. Computer Methods and Programs in Biomedicine. 153. 253–257. 32 indexed citations
12.
Bahk, Jinwook, Yeon-Yong Kim, Sung‐Cheol Yun, et al.. (2017). Geographic Variation in Morbidity and Mortality of Cerebrovascular Diseases in Korea during 2011-2015. Journal of Stroke and Cerebrovascular Diseases. 27(3). 747–757. 12 indexed citations
13.
Chang, Soung-Hoon, Hyeongsu Kim, Kun-Sei Lee, et al.. (2016). Association Between Smoking and Physician-Diagnosed Stroke and Myocardial Infarction in Male Adults in Korea. International Journal of Environmental Research and Public Health. 13(2). 158–158. 7 indexed citations
14.
Cho, Geum Joon, et al.. (2016). Prepregnancy Factors as Determinants of the Development of Diabetes Mellitus After First Pregnancy. The Journal of Clinical Endocrinology & Metabolism. 101(7). 2923–2930. 17 indexed citations
16.
Kim, Ha Young, Eun Jin Jang, Tae-Young Kim, et al.. (2016). Development of a Korean Fracture Risk Score (KFRS) for Predicting Osteoporotic Fracture Risk: Analysis of Data from the Korean National Health Insurance Service. PLoS ONE. 11(7). e0158918–e0158918. 29 indexed citations
18.
Cho, Geum Joon, Jong Heon Park, Soon‐Ae Shin, Min‐Jeong Oh, & Hong Seog Seo. (2015). Metabolic syndrome in the non-pregnant state is associated with the development of preeclampsia. International Journal of Cardiology. 203. 982–986. 19 indexed citations
19.
Sohn, Hyun Soon, Sunmee Jang, Euna Han, et al.. (2014). Patient factors affecting frequent potential unnecessary injection use in outpatient care setting. Archives of Pharmacal Research. 38(7). 1389–1396. 3 indexed citations
20.
Oh, Sang Woo, et al.. (2004). Cut‐off Point of BMI and Obesity‐Related Comorbidities and Mortality in Middle‐Aged Koreans. Obesity Research. 12(12). 2031–2040. 164 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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