Jong-Young Kwak

1.3k total citations
32 papers, 1.1k citations indexed

About

Jong-Young Kwak is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Jong-Young Kwak has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Biomedical Engineering and 10 papers in Biomaterials. Recurrent topics in Jong-Young Kwak's work include 3D Printing in Biomedical Research (9 papers), Electrospun Nanofibers in Biomedical Applications (8 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Jong-Young Kwak is often cited by papers focused on 3D Printing in Biomedical Research (9 papers), Electrospun Nanofibers in Biomedical Applications (8 papers) and Tissue Engineering and Regenerative Medicine (5 papers). Jong-Young Kwak collaborates with scholars based in South Korea, United States and Czechia. Jong-Young Kwak's co-authors include Sik Yoon, Seon-Yeong Hwang, Sung Ho Ryu, J. David Lambeth, David J. Uhlinger, Young Hun Jeong, Isabel López, Yoe‐Sik Bae, Songwan Jin and Kyun Heo and has published in prestigious journals such as Journal of Biological Chemistry, International Journal of Molecular Sciences and Frontiers in Immunology.

In The Last Decade

Jong-Young Kwak

31 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jong-Young Kwak South Korea 17 487 289 253 126 115 32 1.1k
Jianjun Li China 24 652 1.3× 120 0.4× 504 2.0× 103 0.8× 154 1.3× 93 1.5k
Hao Feng China 23 565 1.2× 194 0.7× 90 0.4× 116 0.9× 53 0.5× 51 1.2k
Sun Young Lee South Korea 28 1.2k 2.5× 123 0.4× 141 0.6× 98 0.8× 111 1.0× 71 2.2k
Feng Rao China 25 1.3k 2.6× 251 0.9× 203 0.8× 240 1.9× 129 1.1× 59 2.3k
Heesung Chung South Korea 18 406 0.8× 160 0.6× 200 0.8× 396 3.1× 112 1.0× 23 951
Irene T. Molina‐Martínez Spain 26 454 0.9× 359 1.2× 142 0.6× 70 0.6× 47 0.4× 71 1.8k
Natalie Yin United States 11 215 0.4× 279 1.0× 93 0.4× 105 0.8× 71 0.6× 24 1.6k
Meifeng Yang China 25 704 1.4× 159 0.6× 76 0.3× 48 0.4× 116 1.0× 59 1.6k
Ke Wei China 20 601 1.2× 182 0.6× 135 0.5× 63 0.5× 65 0.6× 43 1.2k
Xuan Wu China 11 315 0.6× 228 0.8× 184 0.7× 61 0.5× 177 1.5× 35 1.2k

Countries citing papers authored by Jong-Young Kwak

Since Specialization
Citations

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

Fields of papers citing papers by Jong-Young Kwak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jong-Young Kwak. 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 Jong-Young Kwak. The network helps show where Jong-Young Kwak may publish in the future.

Co-authorship network of co-authors of Jong-Young Kwak

This figure shows the co-authorship network connecting the top 25 collaborators of Jong-Young Kwak. A scholar is included among the top collaborators of Jong-Young Kwak 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 Jong-Young Kwak. Jong-Young Kwak 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.
Jeong, Young Hun, et al.. (2024). Synthetic Extracellular Matrix of Polyvinyl Alcohol Nanofibers for Three-Dimensional Cell Culture. Journal of Functional Biomaterials. 15(9). 262–262.
2.
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Jeong, Yun‐Jeong, Mi-Hee Yu, Kwon‐Ho Song, et al.. (2023). Rg3-enriched red ginseng extracts enhance apoptosis in CoCl2-stimulated breast cancer cells by suppressing autophagy. Journal of Ginseng Research. 48(1). 31–39. 10 indexed citations
4.
5.
Kim, Yong‐Su, et al.. (2021). Inotodiol From Inonotus obliquus Chaga Mushroom Induces Atypical Maturation in Dendritic Cells. Frontiers in Immunology. 12. 650841–650841. 19 indexed citations
6.
Sláma, Petr, Z. Sládek, Shubhadeep Roychoudhury, et al.. (2020). Effect of Lipopolysaccharide and Muramyl Dipeptide on Apoptosis of Bovine Mammary Gland Lymphocytes. Animals. 10(6). 990–990. 3 indexed citations
7.
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Kang, Donggu, Jeong Hwa Kim, Young Hun Jeong, et al.. (2016). Endothelial monolayers on collagen-coated nanofibrous membranes: cell–cell and cell–ECM interactions. Biofabrication. 8(2). 25008–25008. 30 indexed citations
9.
Kwak, Jong-Young, Jin‐Soo Kim, Songwan Jin, et al.. (2016). Three-dimensional culture and interaction of cancer cells and dendritic cells in an electrospun nano-submicron hybrid fibrous scaffold. International Journal of Nanomedicine. 11. 823–823. 28 indexed citations
10.
Lim, Ju Hyun, et al.. (2016). The effect of AQP3 deficiency on fuel selection during a single bout of exhausting exercise. Pflügers Archiv - European Journal of Physiology. 468(7). 1283–1293. 6 indexed citations
11.
Ikram, Muhammad, et al.. (2015). Bioactive fish collagen/polycaprolactone composite nanofibrous scaffolds fabricated by electrospinning for 3D cell culture. Journal of Biotechnology. 205. 47–58. 63 indexed citations
12.
Kim, Yong‐Il, Sushil Bhandari, Joon No Lee, et al.. (2014). Developmental Roles of D-bifunctional Protein-A Zebrafish Model of Peroxisome Dysfunction. Molecules and Cells. 37(1). 74–80. 13 indexed citations
13.
Kim, Hyun‐Ju, Alexandra L. Brown, Min Young Lee, et al.. (2007). Identification of novel substrates for human checkpoint kinase Chk1 and Chk2 through genome-wide screening using a consensus Chk phosphorylation motif. Experimental & Molecular Medicine. 39(2). 205–212. 50 indexed citations
14.
Smetanina, O. F., Anatoly I. Kalinovsky, Yuliya V. Khudyakova, et al.. (2007). Indole Alkaloids Produced by a Marine Fungus Isolate of Penicillium janthinellum Biourge. Journal of Natural Products. 70(6). 906–909. 63 indexed citations
15.
Lee, Ha‐Young, Hyun Kang, Eunjin Jo, et al.. (2004). Trp-Lys-Tyr-Met-Val-Met stimulates phagocytosis via phospho-lipase D-dependent signaling in mouse dendritic cells. Experimental & Molecular Medicine. 36(2). 135–144. 22 indexed citations
16.
17.
Bae, Yoe‐Sik, Taehoon G. Lee, Jun Chul Park, et al.. (2003). Identification of a Compound That Directly Stimulates Phospholipase C Activity. Molecular Pharmacology. 63(5). 1043–1050. 136 indexed citations
18.
Baek, Suk‐Hwan, Sung‐Su Yun, Taeg Kyu Kwon, et al.. (1999). THE EFFECTS OF TWO NEW ANTAGONISTS OF SECRETORY PLA2 ON TNF, iNOS, AND COX-2 EXPRESSION IN ACTIVATED MACROPHAGES. Shock. 12(6). 473–478. 29 indexed citations
19.
Lambeth, J. David, Jong-Young Kwak, Edward P. Bowman, et al.. (1995). ADP-ribosylation Factor Functions Synergistically with a 50-kDa Cytosolic Factor in Cell-free Activation of Human Neutrophil Phospholipase D. Journal of Biological Chemistry. 270(6). 2431–2434. 87 indexed citations
20.
Kwak, Jong-Young, Isabel López, David J. Uhlinger, Sung Ho Ryu, & J. David Lambeth. (1995). RhoA and a Cytosolic 50-kDa Factor Reconstitute GTPγS-dependent Phospholipase D Activity in Human Neutrophil Subcellular Fractions. Journal of Biological Chemistry. 270(45). 27093–27098. 61 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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