Young‐Mi Ah

977 total citations
60 papers, 635 citations indexed

About

Young‐Mi Ah is a scholar working on Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Young‐Mi Ah has authored 60 papers receiving a total of 635 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Geriatrics and Gerontology, 14 papers in Cardiology and Cardiovascular Medicine and 10 papers in Surgery. Recurrent topics in Young‐Mi Ah's work include Pharmaceutical Practices and Patient Outcomes (23 papers), Pharmacy and Medical Practices (8 papers) and Medication Adherence and Compliance (8 papers). Young‐Mi Ah is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (23 papers), Pharmacy and Medical Practices (8 papers) and Medication Adherence and Compliance (8 papers). Young‐Mi Ah collaborates with scholars based in South Korea, United States and Puerto Rico. Young‐Mi Ah's co-authors include Ju‐Yeun Lee, Yun Mi Yu, Kyung Hee Choi, Yewon Suh, Soo‐Ok Kim, Sung‐Hee Hwang, Seung Yeon Kim, Jaekyu Shin, Yun Jung Choi and Ki Joong Kim and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Environmental Research and Public Health.

In The Last Decade

Young‐Mi Ah

49 papers receiving 616 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young‐Mi Ah South Korea 12 134 127 98 85 72 60 635
Tejas Patel India 18 115 0.9× 198 1.6× 96 1.0× 114 1.3× 38 0.5× 67 1.2k
John Papadopoulos United States 19 106 0.8× 72 0.6× 60 0.6× 25 0.3× 239 3.3× 93 1.1k
Mark A. Gill United States 17 157 1.2× 43 0.3× 85 0.9× 49 0.6× 52 0.7× 60 987
Mehdi Rajabi Iran 12 61 0.5× 17 0.1× 33 0.3× 93 1.1× 16 0.2× 38 458
Michael D. Gooch United States 11 63 0.5× 14 0.1× 27 0.3× 50 0.6× 18 0.3× 17 617
Yun Mi Yu South Korea 13 7 0.1× 45 0.4× 84 0.9× 94 1.1× 77 1.1× 50 563
Glen Brown Canada 16 30 0.2× 60 0.5× 45 0.5× 9 0.1× 107 1.5× 46 706
Sonal Sekhar Miraj India 17 16 0.1× 115 0.9× 154 1.6× 13 0.2× 57 0.8× 67 805
Aaron M Tejani Canada 16 26 0.2× 63 0.5× 89 0.9× 11 0.1× 254 3.5× 54 922
Hadeel Alkofide Saudi Arabia 12 54 0.4× 97 0.8× 38 0.4× 3 0.0× 76 1.1× 50 449

Countries citing papers authored by Young‐Mi Ah

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Mi Ah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young‐Mi Ah. 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 Young‐Mi Ah. The network helps show where Young‐Mi Ah may publish in the future.

Co-authorship network of co-authors of Young‐Mi Ah

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Mi Ah. A scholar is included among the top collaborators of Young‐Mi Ah 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 Young‐Mi Ah. Young‐Mi Ah 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
2.
Park, Jinhyun, Wonsuk Choi, Jinseub Hwang, et al.. (2025). Impact of sirolimus on long‐term adverse cardiovascular outcomes in kidney transplant recipients: A nationwide cohort study. European Journal of Clinical Investigation. 55(7). e70027–e70027.
3.
Lee, Soo-Hyun, et al.. (2024). Exploring bleeding in oral anticoagulant users: assessing incidence by indications and risk factors in the entire nationwide cohort. Frontiers in Pharmacology. 15. 1399955–1399955. 2 indexed citations
6.
Lee, Su-Hyun, et al.. (2024). Development and validation of a medication-based risk prediction model for acute kidney injury in older outpatients. Archives of Gerontology and Geriatrics. 120. 105332–105332.
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Shin, Kwang‐Hee, et al.. (2023). Drug–Drug interactions of docetaxel in patients with breast cancer based on insurance claims data. PLoS ONE. 18(6). e0287382–e0287382.
10.
Lee, Su-Hyun, et al.. (2023). Derivation and validation of a risk prediction score for nonsteroidal anti‐inflammatory drug‐related serious gastrointestinal complications in the elderly. British Journal of Clinical Pharmacology. 89(7). 2216–2223. 2 indexed citations
12.
Han, Juhee, et al.. (2023). Analysis of Medication Errors Reported by Community Pharmacists in the Republic of Korea: A Cross-Sectional Study. Medicina. 59(1). 151–151. 4 indexed citations
13.
Suh, Yewon, et al.. (2022). Medication-Related Acute Care Admission and Inappropriate Polypharmacy of Nursing Home Residents. Journal of the American Medical Directors Association. 24(2). 242–249.e7.
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17.
Ah, Young‐Mi, et al.. (2020). Developing Korean Standards of Hospital and Health-System Pharmacy Practice for Safe Medication Use. 37(3). 265–278. 2 indexed citations
18.
Yang, So‐Young, et al.. (2020). Effectiveness of the Pilot Project for Polypharmacy Management. Health and Social Welfare Review. 40(3). 563–591. 2 indexed citations
19.
Lee, Su-Hyun, et al.. (2020). Underutilization of gastrointestinal prophylaxis in high-risk chronic nonsteroidal anti-inflammatory drug users in Korea. International Journal of Clinical Pharmacy. 43(3). 645–653. 2 indexed citations
20.
Ah, Young‐Mi, Jaekyu Shin, & Ju‐Yeun Lee. (2019). <p>The association of angiotensin receptor blocker-based combination therapy with persistence and adherence in newly treated, uncomplicated hypertensive patients</p>. Patient Preference and Adherence. Volume 13. 241–248. 3 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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