Jaewon Lee

945 total citations
23 papers, 636 citations indexed

About

Jaewon Lee is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Jaewon Lee has authored 23 papers receiving a total of 636 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 3 papers in Surgery. Recurrent topics in Jaewon Lee's work include Mesenchymal stem cell research (3 papers), Pluripotent Stem Cells Research (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). Jaewon Lee is often cited by papers focused on Mesenchymal stem cell research (3 papers), Pluripotent Stem Cells Research (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). Jaewon Lee collaborates with scholars based in South Korea, Puerto Rico and United States. Jaewon Lee's co-authors include Seock‐Won Youn, Hyo‐Soo Kim, Byung‐Hee Oh, Young-Bae Park, Hyun‐Jai Cho, Yoo‐Wook Kwon, Ho-Jae Lee, Eun Ju Lee, Woo Jean Kim and Hyun-Chae Lee and has published in prestigious journals such as Circulation, Nature Communications and Blood.

In The Last Decade

Jaewon Lee

23 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaewon Lee South Korea 13 269 115 94 92 84 23 636
Long Guo China 18 342 1.3× 137 1.2× 137 1.5× 67 0.7× 78 0.9× 57 815
Ryota Ishibashi Japan 17 226 0.8× 107 0.9× 102 1.1× 66 0.7× 126 1.5× 90 1.6k
Yanan Lu China 16 234 0.9× 94 0.8× 145 1.5× 49 0.5× 102 1.2× 64 675
Hongyan Kang China 17 197 0.7× 141 1.2× 46 0.5× 82 0.9× 62 0.7× 42 690
Zhibo Xiao China 17 333 1.2× 179 1.6× 65 0.7× 42 0.5× 138 1.6× 46 1.1k
Lei Mao China 15 351 1.3× 67 0.6× 90 1.0× 32 0.3× 74 0.9× 63 820
Bin Cui China 16 188 0.7× 144 1.3× 49 0.5× 37 0.4× 56 0.7× 68 636
Han-Soo Kim South Korea 19 326 1.2× 189 1.6× 78 0.8× 88 1.0× 102 1.2× 54 956
Yu‐Hsuan Chen Taiwan 15 104 0.4× 135 1.2× 83 0.9× 68 0.7× 98 1.2× 42 840

Countries citing papers authored by Jaewon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jaewon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaewon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Jaewon Lee. A scholar is included among the top collaborators of Jaewon 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 Jaewon Lee. Jaewon 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, Choon-Soo, et al.. (2024). Latrophilin-2 Deletion in Cardiomyocyte Disrupts Cell Junction, Leading to D-CMP. Circulation Research. 135(11). 1098–1115. 3 indexed citations
2.
Lee, Hwan, Hyun-Chae Lee, Jaewon Lee, et al.. (2024). PCSK9 stimulates Syk, PKCδ, and NF-κB, leading to atherosclerosis progression independently of LDL receptor. Nature Communications. 15(1). 2789–2789. 23 indexed citations
3.
Lee, Jin Woo, et al.. (2023). SOX17-mediated LPAR4 expression plays a pivotal role in cardiac development and regeneration after myocardial infarction. Experimental & Molecular Medicine. 55(7). 1424–1436. 2 indexed citations
4.
Lee, Jaewon, et al.. (2022). In vitro culture of hematopoietic stem cell niche using angiopoietin-1-coupled alginate hydrogel. International Journal of Biological Macromolecules. 209(Pt B). 1893–1899. 12 indexed citations
5.
Lee, Choon-Soo, et al.. (2022). The G Protein-Coupled Receptor Latrophilin-2, A Marker for Heart Development, Induces Myocardial Repair After Infarction. Stem Cells Translational Medicine. 11(3). 332–342. 4 indexed citations
6.
Kim, Aram, Seo‐Hyun Choi, Ji Hee Kim, et al.. (2021). An antibody against L1 cell adhesion molecule inhibits cardiotoxicity by regulating persistent DNA damage. Nature Communications. 12(1). 3279–3279. 17 indexed citations
7.
Hwang, Injoo, Eun Ju Lee, Jaewon Lee, et al.. (2021). Endothelin-1 enhances the regenerative capability of human bone marrow-derived mesenchymal stem cells in a sciatic nerve injury mouse model. Biomaterials. 275. 120980–120980. 11 indexed citations
8.
Lee, Jaewon, Junho Lee, Hye‐Jung Yoon, et al.. (2020). Characterization of intratissue bacterial communities and isolation of Escherichia coli from oral lichen planus lesions. Scientific Reports. 10(1). 3495–3495. 31 indexed citations
9.
Youn, Seock‐Won, Hyun-Chae Lee, Sae-Won Lee, et al.. (2018). COMP-Angiopoietin-1 accelerates muscle regeneration through N-cadherin activation. Scientific Reports. 8(1). 12323–12323. 11 indexed citations
10.
Kim, Ju‐Young, Han‐Mo Yang, Jooeun Lee, et al.. (2016). Activation of Protein Kinase G (PKG) Reduces Neointimal Hyperplasia, Inhibits Platelet Aggregation, and Facilitates Re-endothelialization. Scientific Reports. 6(1). 36979–36979. 10 indexed citations
11.
Lee, Sae‐Won, Jimin Yang, Jaewon Lee, et al.. (2015). AKAP6 inhibition impairs myoblast differentiation and muscle regeneration: Positive loop between AKAP6 and myogenin. Scientific Reports. 5(1). 16523–16523. 19 indexed citations
12.
Han, Jung‐Kyu, Hyun-Ju Cho, Hyo–Suk Ahn, et al.. (2014). Direct Conversion of Adult Skin Fibroblasts to Endothelial Cells by Defined Factors. Circulation. 130(14). 1168–1178. 91 indexed citations
13.
Kang, Jeehoon, Jin Hur, Jae-Il Choi, et al.. (2014). Activated platelet supernatant can augment the angiogenic potential of human peripheral blood stem cells mobilized from bone marrow by G-CSF. Journal of Molecular and Cellular Cardiology. 75. 64–75. 15 indexed citations
14.
Kim, Woo Jean, Jaewon Lee, Kyung‐Hee Kim, et al.. (2013). Snail as a Potential Target Molecule in Cardiac Fibrosis: Paracrine Action of Endothelial Cells on Fibroblasts Through Snail and CTGF Axis. Molecular Therapy. 21(9). 1767–1777. 84 indexed citations
15.
Lee, Jaewon, Ki‐Bok Min, & Jonny Rutqvist. (2012). Probabilistic Analysis of Fracture Reactivation Associated with Deep Underground CO2 Injection. Rock Mechanics and Rock Engineering. 46(4). 801–820. 23 indexed citations
16.
Lee, Sae‐Won, Ji‐Young Lee, Jimin Yang, et al.. (2012). Hypoxic priming of mESCs accelerates vascular‐lineage differentiation through HIF1‐mediated inverse regulation of Oct4 and VEGF. EMBO Molecular Medicine. 4(9). 924–938. 52 indexed citations
17.
Youn, Seock‐Won, Sae-Won Lee, Jaewon Lee, et al.. (2011). COMP-Ang1 stimulates HIF-1α–mediated SDF-1 overexpression and recovers ischemic injury through BM-derived progenitor cell recruitment. Blood. 117(16). 4376–4386. 76 indexed citations
18.
Cho, Youngjin, Sang‐Eun Lee, Hyun-Chae Lee, et al.. (2010). Adipokine Resistin Is a Key Player to Modulate Monocytes, Endothelial Cells, and Smooth Muscle Cells, Leading to Progression of Atherosclerosis in Rabbit Carotid Artery. Journal of the American College of Cardiology. 57(1). 99–109. 104 indexed citations
19.
Lee, Jaewon, et al.. (2010). Cache conscious trees on modern microprocessors. 1–5. 2 indexed citations
20.

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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