Won Hee Lee

9.2k total citations
143 papers, 4.6k citations indexed

About

Won Hee Lee is a scholar working on Molecular Biology, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Won Hee Lee has authored 143 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 28 papers in Neurology and 20 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Won Hee Lee's work include Transcranial Magnetic Stimulation Studies (18 papers), Functional Brain Connectivity Studies (14 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Won Hee Lee is often cited by papers focused on Transcranial Magnetic Stimulation Studies (18 papers), Functional Brain Connectivity Studies (14 papers) and Advanced Neuroimaging Techniques and Applications (10 papers). Won Hee Lee collaborates with scholars based in United States, South Korea and China. Won Hee Lee's co-authors include Daniel Hwang, Joo Young Lee, Sophia Frangou, Ling Zhao, Hyung S. Youn, Yong Woo Lee, Joseph C. Wu, William E. Sonntag, Sang-Ging Ong and Anne Heikkinen and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Nature Communications.

In The Last Decade

Won Hee Lee

135 papers receiving 4.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Won Hee Lee United States 34 1.3k 591 580 555 550 143 4.6k
Jianjun Yang China 50 2.4k 1.8× 742 1.3× 1.3k 2.2× 426 0.8× 511 0.9× 506 10.4k
Jie Zhang China 39 1.5k 1.1× 639 1.1× 229 0.4× 462 0.8× 1.1k 1.9× 400 6.5k
Caroline Hayward United Kingdom 47 2.7k 2.1× 755 1.3× 203 0.3× 429 0.8× 457 0.8× 220 8.1k
Zhong Wang China 50 2.8k 2.1× 622 1.1× 995 1.7× 355 0.6× 1.5k 2.7× 380 8.2k
Mohammad Ali Sahraian Iran 42 1.1k 0.8× 810 1.4× 436 0.8× 167 0.3× 449 0.8× 447 7.5k
Lei Zhang China 47 4.6k 3.6× 443 0.7× 560 1.0× 591 1.1× 447 0.8× 419 9.5k
Xiao Xiao China 36 1.2k 1.0× 308 0.5× 424 0.7× 316 0.6× 355 0.6× 216 5.2k
Rong Liu China 49 2.9k 2.2× 271 0.5× 634 1.1× 280 0.5× 491 0.9× 437 8.9k
Noriko Tanaka Japan 36 958 0.7× 441 0.7× 248 0.4× 239 0.4× 700 1.3× 207 5.6k

Countries citing papers authored by Won Hee Lee

Since Specialization
Citations

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

Fields of papers citing papers by Won Hee Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Won Hee Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Won Hee Lee. A scholar is included among the top collaborators of Won Hee 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 Won Hee Lee. Won Hee 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.
Lee, Won Hee, Kyung–Rok Yu, Hong Sook Kim, et al.. (2024). Use of thymidine kinase 1 autoantibody, thymidine kinase antigen, extracellular protein kinase A autoantibody, and C-reactive protein for early detection of malignant tumors in dogs. Journal of Veterinary Internal Medicine. 39(1). e17266–e17266. 1 indexed citations
2.
Yi, Dan, Bin Liu, Hongxu Ding, et al.. (2023). E2F1 Mediates SOX17 Deficiency–Induced Pulmonary Hypertension. Hypertension. 80(11). 2357–2371. 9 indexed citations
3.
Liu, C. W., et al.. (2023). E-cigarettes Induce Dysregulation of Autophagy Leading to Endothelial Dysfunction in Pulmonary Arterial Hypertension. Stem Cells. 41(4). 328–340. 3 indexed citations
4.
Shin, Cheol Min, Yoon Jin Choi, Dong Ho Lee, et al.. (2021). Validity and safety of ID-JPL934 in lower gastrointestinal symptom improvement. Scientific Reports. 11(1). 13046–13046. 8 indexed citations
5.
Kim, Taeheon, Won Hee Lee, Junho Yeom, & Youkyung Han. (2019). Integrated Automatic Pre-Processing for Change Detection Based on SURF Algorithm and Mask Filter. Journal of the Korean Society of Surveying Geodesy Photogrammetry and Cartography. 37(3). 209–219. 1 indexed citations
6.
Ong, Sang‐Bing, Won Hee Lee, Nur Izzah Ismail, et al.. (2019). Calpain Inhibition Restores Autophagy and Prevents Mitochondrial Fragmentation in a Human iPSC Model of Diabetic Endotheliopathy. Stem Cell Reports. 12(3). 597–610. 37 indexed citations
7.
Lee, Won Hee, Sang‐Ging Ong, Yang Zhou, et al.. (2019). Modeling Cardiovascular Risks of E-Cigarettes With Human-Induced Pluripotent Stem Cell–Derived Endothelial Cells. Journal of the American College of Cardiology. 73(21). 2722–2737. 107 indexed citations
8.
Sprooten, Emma, Rafael O’Halloran, Juliane Dinse, et al.. (2018). Depth-dependent intracortical myelin organization in the living human brain determined by in vivo ultra-high field magnetic resonance imaging. NeuroImage. 185. 27–34. 29 indexed citations
9.
Nguyen, Patricia K., Won Hee Lee, Yong Fuga Li, et al.. (2015). Assessment of the Radiation Effects of Cardiac CT Angiography Using Protein and Genetic Biomarkers. JACC. Cardiovascular imaging. 8(8). 873–884. 51 indexed citations
10.
Gu, Mingxia, Patricia K. Nguyen, Shijun Hu, et al.. (2012). Abstract 15112: Microfluidic Single Cell Analysis Shows Porcine Induced Pluripotent Stem Cell-Derived Endothelial Cells Improve Myocardial Function by Paracrine Activation. Circulation. 126. 8 indexed citations
11.
Lee, Yong Woo, Won Hee Lee, & Paul H. Kim. (2010). Role of NADPH oxidase in interleukin-4-induced monocyte chemoattractant protein-1 expression in vascular endothelium. Inflammation Research. 59(9). 755–765. 17 indexed citations
12.
Lee, Won Hee, Paul H. Kim, & Yong‐Woo Lee. (2009). Beneficial effects of fullerene derivative on lipopolysccharide-induced pro-inflammatory pathways in human aortic endothelial cells (93.9). The Journal of Immunology. 182(Supplement_1). 93.9–93.9.
13.
14.
Lee, Won Hee, et al.. (2007). An Ethical Appraisal of Informed Consent in the Clinical Setting. 19(4). 556–566. 4 indexed citations
15.
Kim, Joohyung, et al.. (2005). The Relationship between Spirituality and Fighting Spirit among Cancer Patients in Korea. 17(4). 583–591. 5 indexed citations
16.
Ko, Il Sun, Hee Soon Kim, Won Hee Lee, et al.. (2004). Development and validation study of the breast cancer risk appraisal for Korean women. Nursing and Health Sciences. 6(3). 201–207. 11 indexed citations
17.
18.
Lee, Won Hee, et al.. (2001). The Purpose of this Descriptive Study was to Identify Nursing Ethics Education in Korea. Korean Journal of Medical Ethics. 4(1). 1–14. 4 indexed citations
19.
Lee, Won Hee, et al.. (2001). A Study of Validity and Reliability of a Spiritual Health Inventory (SHI) for Korean Patients with Cancer. 13(2). 233–246. 6 indexed citations
20.
Lee, Ikchoon, et al.. (1984). Solvolysis of Substituted Benzyl Benzenesulfonates in MeOH-MeCN Mixtures. Journal of the Korean Chemical Society. 28(6). 366–373. 2 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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