Jaewon Jung

812 total citations
19 papers, 622 citations indexed

About

Jaewon Jung is a scholar working on Molecular Biology, Artificial Intelligence and Oncology. According to data from OpenAlex, Jaewon Jung has authored 19 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Oncology. Recurrent topics in Jaewon Jung's work include Sirtuins and Resveratrol in Medicine (2 papers), Topic Modeling (2 papers) and Advanced Neural Network Applications (2 papers). Jaewon Jung is often cited by papers focused on Sirtuins and Resveratrol in Medicine (2 papers), Topic Modeling (2 papers) and Advanced Neural Network Applications (2 papers). Jaewon Jung collaborates with scholars based in South Korea, United States and Ethiopia. Jaewon Jung's co-authors include Hyeog Kang, Jay H. Chung, Myung K. Kim, Inn‐Oc Han, Eok‐Soo Oh, Seung‐Taek Lee, Ji-Sun Hwang, So-Young Hwang, Won‐Sik Shin and Jeong‐Yong Suh and has published in prestigious journals such as Journal of Neuroscience, Molecular Cell and PLoS ONE.

In The Last Decade

Jaewon Jung

17 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jaewon Jung South Korea	11	295	164	156	92	86	19	622
Luciana Rodrigues Gomes Brazil	13	457 1.5×	193 1.2×	27 0.2×	28 0.3×	179 2.1×	17	810
Priya D. Issuree United States	15	460 1.6×	326 2.0×	22 0.1×	51 0.6×	63 0.7×	24	923
Wootae Kim South Korea	19	705 2.4×	246 1.5×	82 0.5×	35 0.4×	78 0.9×	45	987
Lloye M. Dillon United States	15	659 2.2×	188 1.1×	26 0.2×	186 2.0×	69 0.8×	25	925
Qinghua Song China	9	597 2.0×	186 1.1×	29 0.2×	107 1.2×	528 6.1×	23	1.0k
Lauréline Roger United Kingdom	13	441 1.5×	240 1.5×	18 0.1×	336 3.7×	71 0.8×	17	1.0k
Qin Yu United States	13	393 1.3×	145 0.9×	19 0.1×	18 0.2×	138 1.6×	21	665
Elena Cosci Italy	9	360 1.2×	161 1.0×	32 0.2×	17 0.2×	288 3.3×	9	673
G Xiao United States	9	297 1.0×	126 0.8×	14 0.1×	92 1.0×	74 0.9×	11	699
Dhruv K. Pant United States	13	527 1.8×	256 1.6×	19 0.1×	31 0.3×	114 1.3×	17	838

Countries citing papers authored by Jaewon Jung

Since Specialization

Citations

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

Fields of papers citing papers by Jaewon Jung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaewon Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Jaewon Jung. A scholar is included among the top collaborators of Jaewon Jung 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 Jung. Jaewon Jung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Jung, Jaewon, et al.. (2025). LLM-guided Plan and Retrieval: A Strategic Alignment for Interpretable User Satisfaction Estimation in Dialogue. 10416–10430.

Heo, Yong‐Seok, Woo‐Jin Kim, Yong‐Joon Cho, et al.. (2025). Advances in cancer genomics and precision oncology. Genes & Genomics. 47(4). 399–416. 1 indexed citations

Jung, Jaewon, et al.. (2024). Pipette: Automatic Fine-Grained Large Language Model Training Configurator for Real-World Clusters. 1–6.

Jung, Jaewon, et al.. (2024). PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor. 24482–24491. 3 indexed citations

Jung, Jaewon, et al.. (2023). Pipe-BD: Pipelined Parallel Blockwise Distillation. Seoul National University Open Repository (Seoul National University). 1–6. 1 indexed citations

Jung, Jaewon, et al.. (2023). Optimus-CC: Efficient Large NLP Model Training with 3D Parallelism Aware Communication Compression. 560–573. 22 indexed citations

Lee, Si Won, Yongju Jung, Heejung Kim, et al.. (2022). Comparison and Selection of Conventional PCR Primer Sets for Studies Associated with Nitrogen Cycle Microorganisms in Surface Soil. Applied Sciences. 12(20). 10314–10314. 1 indexed citations

Cho, Eunjoo, et al.. (2019). AMP-activated protein kinase regulates circadian rhythm by affecting CLOCK in Drosophila. Journal of Neuroscience. 39(18). 2344–18. 5 indexed citations

Jang, Hye-Jin, Ju‐Hyun Lee, Hyun Woo Choi, et al.. (2018). Suppression of the ERK–SRF axis facilitates somatic cell reprogramming. Experimental & Molecular Medicine. 50(2). e448–e448. 15 indexed citations

10.

Kang, Hyeog, Jeong‐Yong Suh, Young‐Sang Jung, et al.. (2011). Peptide Switch Is Essential for Sirt1 Deacetylase Activity. Molecular Cell. 44(2). 203–213. 88 indexed citations

11.

Hwang, Soyoung, Byong Chul Yoo, Jaewon Jung, et al.. (2009). Induction of glioma apoptosis by microglia-secreted molecules: The role of nitric oxide and cathepsin B. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1793(11). 1656–1668. 41 indexed citations

12.

Kang, Hyeog, Jaewon Jung, Myung K. Kim, & Jay H. Chung. (2009). CK2 Is the Regulator of SIRT1 Substrate-Binding Affinity, Deacetylase Activity and Cellular Response to DNA-Damage. PLoS ONE. 4(8). e6611–e6611. 103 indexed citations

13.

Shin, Won‐Sik, Yong‐Sun Maeng, Jaewon Jung, et al.. (2008). Soluble PTK7 inhibits tube formation, migration, and invasion of endothelial cells and angiogenesis. Biochemical and Biophysical Research Communications. 371(4). 793–798. 67 indexed citations

14.

Jung, Jaewon, et al.. (2007). Ionising radiation induces changes associated with epithelial-mesenchymal transdifferentiation and increased cell motility of A549 lung epithelial cells. European Journal of Cancer. 43(7). 1214–1224. 120 indexed citations

15.

Hwang, Soyoung, Jaewon Jung, Yun‐Jung Kim, et al.. (2005). Dominant‐negative Rac increases both inherent and ionizing radiation‐induced cell migration in C6 rat glioma cells. International Journal of Cancer. 118(8). 2056–2063. 37 indexed citations

16.

Jung, Jaewon, Won‐Sik Shin, Jihwan Song, & Seung‐Taek Lee. (2004). Cloning and characterization of the full-length mouse Ptk7 cDNA encoding a defective receptor protein tyrosine kinase. Gene. 328. 75–84. 34 indexed citations

17.

Jung, Jaewon, et al.. (2002). Organization of the human PTK7 gene encoding a receptor protein tyrosine kinase-like molecule and alternative splicing of its mRNA. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1579(2-3). 153–163. 33 indexed citations

18.

Kim, Young S., Hyang Sook Yoo, S. H. Goh, et al.. (2000). Detection of genetic alterations in the human gastric cancer cell lines by two-dimensional analysis of genomic DNA.. International Journal of Oncology. 17(2). 297–308. 9 indexed citations

19.

Kim, Yoon‐Keun, Young‐Koo Jee, Yoon‐Seok Chang, et al.. (1999). Spider mite allergy in apple-cultivating farmers: European red mite (Panonychus ulmi) and two-spotted spider mite (Tetranychus urticae) may be important allergens in the development of work-related asthma and rhinitis symptoms☆☆☆. Journal of Allergy and Clinical Immunology. 104(6). 1285–1292. 42 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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