Yong‐Jun Kwon

1.2k total citations
52 papers, 600 citations indexed

About

Yong‐Jun Kwon is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Yong‐Jun Kwon has authored 52 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Organic Chemistry. Recurrent topics in Yong‐Jun Kwon's work include Cell Image Analysis Techniques (6 papers), Cancer Cells and Metastasis (5 papers) and RNA Interference and Gene Delivery (4 papers). Yong‐Jun Kwon is often cited by papers focused on Cell Image Analysis Techniques (6 papers), Cancer Cells and Metastasis (5 papers) and RNA Interference and Gene Delivery (4 papers). Yong‐Jun Kwon collaborates with scholars based in South Korea, Luxembourg and United States. Yong‐Jun Kwon's co-authors include Kyeong Sook Choi, You‐Sun Kim, Mi Jin Yoon, Lúcio H. Freitas-Júnior, Youngseon Choi, Rita Song, Auguste Genovesio, Keumhyun Kim, Neil Emans and Sukmin Hong and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Yong‐Jun Kwon

43 papers receiving 593 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong‐Jun Kwon South Korea 13 288 123 98 75 70 52 600
Huixia Zhang China 15 334 1.2× 110 0.9× 76 0.8× 100 1.3× 75 1.1× 58 745
Bethany E. Perez White United States 15 395 1.4× 267 2.2× 138 1.4× 84 1.1× 149 2.1× 37 1.1k
Aleksei A. Stepanenko Russia 15 500 1.7× 178 1.4× 49 0.5× 101 1.3× 67 1.0× 23 896
Weiyun Huang China 7 484 1.7× 62 0.5× 88 0.9× 34 0.5× 66 0.9× 8 809
Haiming Chen United States 15 510 1.8× 171 1.4× 51 0.5× 37 0.5× 122 1.7× 49 919
V. V. Dmitrenko Ukraine 10 433 1.5× 104 0.8× 31 0.3× 76 1.0× 77 1.1× 23 700
Sarah A. Buhrow United States 11 347 1.2× 160 1.3× 60 0.6× 139 1.9× 59 0.8× 24 773
Hyo Min Ahn South Korea 16 404 1.4× 190 1.5× 42 0.4× 111 1.5× 120 1.7× 28 859
Chao Zheng China 15 429 1.5× 134 1.1× 51 0.5× 70 0.9× 76 1.1× 37 988

Countries citing papers authored by Yong‐Jun Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Jun Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Jun Kwon. 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 Yong‐Jun Kwon. The network helps show where Yong‐Jun Kwon may publish in the future.

Co-authorship network of co-authors of Yong‐Jun Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Jun Kwon. A scholar is included among the top collaborators of Yong‐Jun Kwon 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 Yong‐Jun Kwon. Yong‐Jun Kwon 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.
Park, Heung‐Sik, Seonjeong Cheon, Yong‐Jun Kwon, et al.. (2025). Quantitative Control of Oxygen Non‐Stoichiometry and Negative Raman Chemical Shift During Topotactic Phase Transition in a Ca‐Doped BiFeO 3 Thin‐Film. Advanced Science. 12(40). e02439–e02439.
2.
Walvekar, Adhish S., Marc O. Warmoes, Gemma Gomez‐Giro, et al.. (2025). Failure to repair damaged NAD(P)H blocks de novo serine synthesis in human cells. Cellular & Molecular Biology Letters. 30(1). 3–3.
3.
Nada, Hossam, et al.. (2025). c‐KIT Small Molecule Inhibitors as a Therapeutic Strategy for Melanoma: Clinical Insights, SAR, and Future Directions. Archiv der Pharmazie. 358(10). e70113–e70113.
4.
Han, Xue, Yan Wang, Yong‐Jun Kwon, et al.. (2024). Experimental trends and theoretical descriptors for electrochemical reduction of carbon dioxide to formate over Sn-based bimetallic catalysts. Journal of Materials Chemistry A. 12(35). 23560–23569. 2 indexed citations
5.
Enos, Clinton, Mark Spear, Hua‐Bei Guo, et al.. (2024). CT109-SN-38, a Novel Antibody-drug Conjugate with Dual Specificity forCEACAM5 and 6, Elicits Potent Killing of Pancreatic Cancer Cells. Current Cancer Drug Targets. 24(7). 720–732. 3 indexed citations
6.
Kwon, Yong‐Jun, et al.. (2024). Identification of human host factors required for beta-defensin-2 expression in intestinal epithelial cells upon a bacterial challenge. Scientific Reports. 14(1). 15442–15442. 1 indexed citations
7.
8.
Blandino, Giovanni, Ronit Satchi‐Fainaro, Ingeborg Tinhofer, et al.. (2024). Cancer Organoids as reliable disease models to drive clinical development of novel therapies. Journal of Experimental & Clinical Cancer Research. 43(1). 334–334. 5 indexed citations
9.
Lamiable, Alexis, Peter Sommer, Nicolas Argy, et al.. (2023). Revealing invisible cell phenotypes with conditional generative modeling. Nature Communications. 14(1). 6386–6386. 13 indexed citations
10.
Weykopf, Beatrice, Simone Haupt, Nicolas Wiest-Daesslé, et al.. (2022). High-content phenotyping of Parkinson's disease patient stem cell-derived midbrain dopaminergic neurons using machine learning classification. Stem Cell Reports. 17(10). 2349–2364. 12 indexed citations
11.
Barbuti, Peter A., Jochen Ohnmacht, Paul Antony, et al.. (2021). Gene-corrected p.A30P SNCA patient-derived isogenic neurons rescue neuronal branching and function. Scientific Reports. 11(1). 21946–21946. 5 indexed citations
12.
Woo, Hyun Goo, et al.. (2019). RNAi Screening-based Identification of USP10 as a Novel Regulator of Paraptosis. Scientific Reports. 9(1). 4909–4909. 11 indexed citations
13.
Doh, Il, Yong‐Jun Kwon, Bosung Ku, & Dong Woo Lee. (2019). Drug Efficacy Comparison of 3D Forming and Preforming Sphere Models with a Micropillar and Microwell Chip Platform. SLAS DISCOVERY. 24(4). 476–483. 7 indexed citations
14.
Al‐Sanea, Mohammad M., Ahmed Z. Abdelazem, Koo Han Yoo, et al.. (2015). ROS1 Kinase Inhibitors for Molecular-Targeted Therapies. Current Medicinal Chemistry. 23(2). 142–160. 14 indexed citations
15.
Lee, Hye Won, Jung-Il Lee, Se Jeong Lee, et al.. (2014). Patient-Derived Xenografts from Non–Small Cell Lung Cancer Brain Metastases Are Valuable Translational Platforms for the Development of Personalized Targeted Therapy. Clinical Cancer Research. 21(5). 1172–1182. 47 indexed citations
16.
Lee, Jung-Han, Yong‐Jun Kwon, Youngseon Choi, et al.. (2012). Quantum Dot‐Based Screening System for Discovery of G Protein‐Coupled Receptor Agonists. ChemBioChem. 13(10). 1503–1508. 8 indexed citations
17.
Genovesio, Auguste, Miriam A. Giardini, Yong‐Jun Kwon, et al.. (2011). Visual Genome-Wide RNAi Screening to Identify Human Host Factors Required for Trypanosoma cruzi Infection. PLoS ONE. 6(5). e19733–e19733. 26 indexed citations
18.
Won, Chul‐Ho, et al.. (2004). Microcalcification Segmentation by Automatically Thresholded Region Growing Using Edge Sharpness and Contrast. ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications. 839–842. 1 indexed citations
19.
Kwon, Yong‐Jun, et al.. (2004). Derivation of Damping-reflected Energy Functions in COI Formulation for Direct Analysis of Transient Stability. 134–140.
20.
Kwon, Yong‐Jun, et al.. (2002). An Empirical Study on Malfunction of the Earth Leakage Circuit Breaker. Journal of the Korean Society of Safety. 17(1). 45–53.

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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