Young‐Ran Yoon

1.7k total citations
96 papers, 1.3k citations indexed

About

Young‐Ran Yoon is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Young‐Ran Yoon has authored 96 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 23 papers in Pharmacology and 21 papers in Oncology. Recurrent topics in Young‐Ran Yoon's work include Pharmacogenetics and Drug Metabolism (12 papers), Inflammatory mediators and NSAID effects (12 papers) and Drug Transport and Resistance Mechanisms (11 papers). Young‐Ran Yoon is often cited by papers focused on Pharmacogenetics and Drug Metabolism (12 papers), Inflammatory mediators and NSAID effects (12 papers) and Drug Transport and Resistance Mechanisms (11 papers). Young‐Ran Yoon collaborates with scholars based in South Korea, United States and Sudan. Young‐Ran Yoon's co-authors include Sook Jin Seong, Hae Won Lee, Woo Youl Kang, Jae‐Gook Shin, Mi‐sun Lim, Hyun‐Ju Kim, In‐June Cha, Shin‐Yoon Kim, Ji‐Hong Shon and Seung Il Cho and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Chemical Communications.

In The Last Decade

Young‐Ran Yoon

89 papers receiving 1.3k 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‐Ran Yoon South Korea 21 516 344 280 185 123 96 1.3k
Kwan Leung United States 23 688 1.3× 316 0.9× 234 0.8× 160 0.9× 128 1.0× 56 1.8k
Kwang‐il Kwon South Korea 18 454 0.9× 201 0.6× 228 0.8× 196 1.1× 82 0.7× 89 1.3k
Ophelia Yin United States 28 433 0.8× 441 1.3× 647 2.3× 183 1.0× 247 2.0× 94 2.3k
Vijay Upreti United States 20 403 0.8× 328 1.0× 491 1.8× 199 1.1× 276 2.2× 55 1.7k
Atilla Bozkurt Türkiye 21 243 0.5× 420 1.2× 239 0.9× 370 2.0× 100 0.8× 94 1.6k
H K Kroemer Germany 25 337 0.7× 336 1.0× 371 1.3× 112 0.6× 169 1.4× 50 1.4k
Geert Mannens Belgium 25 550 1.1× 749 2.2× 472 1.7× 330 1.8× 66 0.5× 59 2.1k
Jianghong Fan United States 20 423 0.8× 307 0.9× 357 1.3× 181 1.0× 36 0.3× 45 1.5k
Wen Chyi Shyu United States 23 408 0.8× 219 0.6× 270 1.0× 501 2.7× 104 0.8× 78 1.6k
Heidi J. Einolf United States 25 538 1.0× 776 2.3× 499 1.8× 139 0.8× 46 0.4× 39 1.6k

Countries citing papers authored by Young‐Ran Yoon

Since Specialization
Citations

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

Fields of papers citing papers by Young‐Ran Yoon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Young‐Ran Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Ran Yoon. A scholar is included among the top collaborators of Young‐Ran Yoon 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‐Ran Yoon. Young‐Ran Yoon 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.
Yoon, Young‐Ran. (2024). Basic Research to Propose Ways to Improve AI Literacy Liberal Arts Education for College Students. Asia-pacific Journal of Convergent Research Interchange. 10(8). 559–568.
2.
Nam, Sung‐Wook, et al.. (2023). Hemagglutination Assay via Optical Density Characterization in 3D Microtrap Chips. Biosensors. 13(7). 733–733. 4 indexed citations
3.
Lee, Hae Won, Woo Youl Kang, Soojin Park, et al.. (2023). Comparative Pharmacokinetic Profiles of a Novel Low‐Dose Micronized Formulation of Raloxifene 45 mg (AD‐101) and the Conventional Raloxifene 60 mg in Healthy Subjects. Clinical Pharmacology in Drug Development. 12(12). 1204–1210. 1 indexed citations
4.
Soni, Nisarg, Swarbhanu Sarkar, Yeong Su Ha, et al.. (2023). “Click-to-Clear”: A Strategy to Minimize Radioactivity from the Blood Pool Utilizing Staudinger Ligation. Pharmaceutics. 15(3). 719–719. 7 indexed citations
5.
Kim, Se-A, Hoyul Lee, Mi Jin Kim, et al.. (2022). Effect of Low-Dose Persistent Organic Pollutants on Mitochondrial Function: Human and in Vitro Evidence. Diabetes & Metabolism Journal. 46(4). 592–604. 7 indexed citations
6.
Jung, Hee‐Yeon, Yena Jeon, Sook Jin Seong, et al.. (2020). ICT-based adherence monitoring in kidney transplant recipients: a randomized controlled trial. BMC Medical Informatics and Decision Making. 20(1). 105–105. 20 indexed citations
7.
8.
Seong, Sook Jin, Woo Youl Kang, Kwang‐Hyeon Liu, et al.. (2018). A Comprehensive In Vivo and In Vitro Assessment of the Drug Interaction Potential of Red Ginseng. Clinical Therapeutics. 40(8). 1322–1337. 25 indexed citations
9.
10.
11.
Lee, Hae Won, Sook Jin Seong, Woo Youl Kang, et al.. (2017). Pharmacokinetic and safety evaluation of MB12066, an NQO1 substrate. Drug Design Development and Therapy. Volume 11. 2719–2725. 5 indexed citations
12.
Seong, Sook Jin, Mi‐sun Lim, Bo Kyung Kim, et al.. (2016). Evaluation of a Pharmacokinetic Interaction between Telmisartan and Chlorthalidone in Healthy Male Adult Subjects. Clinical Drug Investigation. 36(8). 613–623. 2 indexed citations
13.
Kim, Hyun‐Ju, Woo Youl Kang, Sook Jin Seong, et al.. (2016). Follistatin-like 1 promotes osteoclast formation via RANKL-mediated NF-κB activation and M-CSF-induced precursor proliferation. Cellular Signalling. 28(9). 1137–1144. 35 indexed citations
14.
Kim, Hyun‐Ju, Hye‐Jin Yoon, Bo Kyung Kim, et al.. (2015). G Protein‐Coupled Receptor 120 Signaling Negatively Regulates Osteoclast Differentiation, Survival, and Function. Journal of Cellular Physiology. 231(4). 844–851. 38 indexed citations
15.
Park, Jeong Hyeon, Keumhan Noh, Hae Won Lee, et al.. (2013). Pharmacometabolomic Approach to Predict QT Prolongation in Guinea Pigs. PLoS ONE. 8(4). e60556–e60556. 5 indexed citations
16.
Ji, Hye Young, Hye Won Lee, Hye Suk Lee, & Young‐Ran Yoon. (2010). Quantification of lamivudine in human plasma by hydrophilic interaction chromatography‐tandem mass spectrometry. Journal of Separation Science. 33(6-7). 948–954. 6 indexed citations
17.
Pandya, Darpan N., Jung Young Kim, Jeong Chan Park, et al.. (2010). Revival of TE2A; a better chelate for Cu(II) ions than TETA?. Chemical Communications. 46(20). 3517–3517. 47 indexed citations
18.
Kim, Sung-Doo, Wonku Kang, Hae Won Lee, et al.. (2009). Bioequivalence and tolerability of two clopidogrel salt preparations, besylate and bisulfate: A randomized, open-label, crossover study in healthy Korean male subjects. Clinical Therapeutics. 31(4). 793–803. 39 indexed citations
19.
Jung, Kyong-Jin, Jinu Kim, Yong‐Ki Park, Young‐Ran Yoon, & Kwon Moo Park. (2009). Wen-pi-tang-Hab-Wu-ling-san reduces ureteral obstructive renal fibrosis by the reduction of oxidative stress, inflammation, and TGF-β/Smad2/3 signaling. Food and Chemical Toxicology. 48(2). 522–529. 18 indexed citations
20.
Yoon, Young‐Ran, Jun‐Ho Lee, Moon‐Kyung Kim, et al.. (2002). Frequency Distribution of Cytochrome P450 2C19 Genotypes in a Korean Population. 10(1). 40–40. 1 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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