Soyoung Lee

826 total citations
44 papers, 630 citations indexed

About

Soyoung Lee is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Psychiatry and Mental health. According to data from OpenAlex, Soyoung Lee has authored 44 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Cardiology and Cardiovascular Medicine and 7 papers in Psychiatry and Mental health. Recurrent topics in Soyoung Lee's work include Pharmacogenetics and Drug Metabolism (5 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Blood Pressure and Hypertension Studies (4 papers). Soyoung Lee is often cited by papers focused on Pharmacogenetics and Drug Metabolism (5 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Blood Pressure and Hypertension Studies (4 papers). Soyoung Lee collaborates with scholars based in South Korea, United States and Puerto Rico. Soyoung Lee's co-authors include Giorgio Carmignoto, Tommaso Fellin, Philip G. Haydon, David F. Meaney, Shinghua Ding, Yves P. Auberson, Douglas A. Coulter, Yingzi Zhu, Hoyeun Kim and Chin O. Lee and has published in prestigious journals such as Journal of Neuroscience, The Plant Journal and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Soyoung Lee

37 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Soyoung Lee South Korea 13 265 202 90 88 85 44 630
Defeng Liu China 15 221 0.8× 186 0.9× 80 0.9× 29 0.3× 43 0.5× 70 760
Yi Quan United States 11 204 0.8× 171 0.8× 176 2.0× 87 1.0× 18 0.2× 15 775
Wenxian Huang China 12 299 1.1× 91 0.5× 118 1.3× 45 0.5× 21 0.2× 25 667
Ahmed M. Abdel-Tawab Egypt 12 312 1.2× 142 0.7× 89 1.0× 270 3.1× 13 0.2× 17 769
Toshiyuki Kanemasa Japan 19 406 1.5× 317 1.6× 19 0.2× 69 0.8× 26 0.3× 35 852
Sendoa Tajada Spain 12 446 1.7× 218 1.1× 51 0.6× 170 1.9× 29 0.3× 15 845
Vinogran Naidoo United States 14 200 0.8× 124 0.6× 71 0.8× 17 0.2× 19 0.2× 45 592
Amani Alghamdi Saudi Arabia 13 183 0.7× 78 0.4× 37 0.4× 32 0.4× 25 0.3× 41 523
Εleni Stamoula Greece 12 306 1.2× 107 0.5× 78 0.9× 13 0.1× 32 0.4× 28 683

Countries citing papers authored by Soyoung Lee

Since Specialization
Citations

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

Fields of papers citing papers by Soyoung Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Soyoung Lee. 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 Soyoung Lee. The network helps show where Soyoung Lee may publish in the future.

Co-authorship network of co-authors of Soyoung Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Soyoung Lee. A scholar is included among the top collaborators of Soyoung Lee 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 Soyoung Lee. Soyoung Lee 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.
2.
Jang, Yoonhyuk, Han Sang Lee, Soon‐Tae Lee, et al.. (2023). Topiramate dosage optimization for effective antiseizure management via population pharmacokinetic modeling. Annals of Clinical and Translational Neurology. 11(2). 424–435. 1 indexed citations
3.
Lee, Soyoung, et al.. (2023). Population Pharmacokinetic−Pharmacodynamic Modeling of Carvedilol to Evaluate the Effect of Cytochrome P450 2D6 Genotype on the Heart Rate Reduction. Journal of Korean Medical Science. 38(22). e173–e173. 1 indexed citations
4.
Lee, Soyoung, Kyung Taek Hong, In‐Jin Jang, et al.. (2023). Semimechanistic pharmacokinetic–pharmacodynamic model of tripegfilgrastim for pediatric patients after chemotherapy. CPT Pharmacometrics & Systems Pharmacology. 12(9). 1319–1334. 1 indexed citations
5.
6.
Lee, Soyoung, et al.. (2023). Analysis of ocular fluid in patients with ranibizumab-recalcitrant neovascular age-related macular degeneration who have serum anti-ranibizumab antibodies. Graefe s Archive for Clinical and Experimental Ophthalmology. 261(12). 3581–3587. 4 indexed citations
7.
Kim, Yaeni, Won Kim, Jwa-Kyung Kim, et al.. (2022). Blood Pressure Control in Patients with Diabetic Kidney Disease. PubMed. 20(2). 39–39. 5 indexed citations
8.
Lee, Soyoung, et al.. (2022). The pharmacokinetic, safety, and tolerability profiles of eslicarbazepine acetate are comparable between Korean and White subjects. Clinical and Translational Science. 15(9). 2116–2126. 5 indexed citations
9.
Lee, Soyoung, et al.. (2021). Current Bioequivalence Study Designs in South Korea: A Comprehensive Analysis of Bioequivalence Study Reports Between 2013 and 2019. Frontiers in Pharmacology. 12. 651790–651790. 4 indexed citations
10.
Lee, Soyoung, Yujin Lee, Andrew HyoungJin Kim, et al.. (2020). Urinary metabolic markers reflect on hepatic, not intestinal, CYP3A activity in healthy subjects. Drug Metabolism and Pharmacokinetics. 36. 100374–100374. 8 indexed citations
11.
Lee, Soyoung, Andrew HyoungJin Kim, Yujin Lee, et al.. (2020). The utility of CYP3A activity endogenous markers for evaluating drug-drug interaction between sildenafil and CYP3A inhibitors in healthy subjects. Drug Metabolism and Pharmacokinetics. 36. 100368–100368. 13 indexed citations
12.
13.
Lee, Soyoung, Yun Kim, Guang‐Jin Im, et al.. (2018). A pharmacokinetic drug-drug interaction study between pregabalin and tramadol in healthy volunteers. European Journal of Clinical Pharmacology. 74(12). 1605–1613. 10 indexed citations
14.
Kim, Hyungjun, Yonghyun Lee, Sukmo Kang, et al.. (2016). Self-assembled nanoparticles comprising aptide–SN38 conjugates for use in targeted cancer therapy. Nanotechnology. 27(48). 48LT01–48LT01. 21 indexed citations
15.
Lee, Soyoung, Jong‐Hyun Yoo, Hee‐Myung Park, & Dae Young Kim. (2011). Pathology in Practice. Journal of the American Veterinary Medical Association. 239(5). 583–585. 1 indexed citations
16.
Ding, Shinghua, Tommaso Fellin, Yingzi Zhu, et al.. (2007). Enhanced Astrocytic Ca2+Signals Contribute to Neuronal Excitotoxicity after Status Epilepticus. Journal of Neuroscience. 27(40). 10674–10684. 216 indexed citations
17.
Jeong, Young‐Min, Jeong‐Hwan Mun, Hoyeun Kim, Soyoung Lee, & Sang‐Gu Kim. (2007). An upstream region in the first intron of petunia actin‐depolymerizing factor 1 affects tissue‐specific expression in transgenic Arabidopsis (Arabidopsis thaliana). The Plant Journal. 50(2). 230–239. 35 indexed citations
18.
Lee, Soyoung, et al.. (2006). Clinical Features of Central Neuropathic Pain after Contusive Spinal Cord Injury in Rats. Annals of Rehabilitation Medicine. 30(2). 142–147. 1 indexed citations
19.
Lee, Soyoung & Chin O. Lee. (2004). Inhibition of Na+-K+ Pump and L-Type Ca2+ Channel by Glibenclamide in Guinea Pig Ventricular Myocytes. Journal of Pharmacology and Experimental Therapeutics. 312(1). 61–68. 34 indexed citations
20.
Labow, Daniel M., et al.. (2000). Adenovirus Vector-Mediated Gene Transfer to Regional Lymph Nodes. Human Gene Therapy. 11(5). 759–769. 26 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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