Deog Joong Kim

434 total citations
19 papers, 368 citations indexed

About

Deog Joong Kim is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Deog Joong Kim has authored 19 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 3 papers in Organic Chemistry. Recurrent topics in Deog Joong Kim's work include Cancer-related Molecular Pathways (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Biochemical and Molecular Research (3 papers). Deog Joong Kim is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Biochemical and Molecular Research (3 papers). Deog Joong Kim collaborates with scholars based in United States, South Korea and Netherlands. Deog Joong Kim's co-authors include Young Bok Lee, Chang‐Ho Ahn, Brij B. Singh, Sang‐Moo Kang, Senthil Selvaraj, Sung Woo Kim, Chang Ho Ahn, Johnny S.W. Chan, Berend Olivier and Ronald S. Oosting and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Deog Joong Kim

19 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deog Joong Kim United States 14 196 50 43 34 32 19 368
Bettina Barthel Germany 9 173 0.9× 89 1.8× 63 1.5× 34 1.0× 18 0.6× 16 429
Andrea J. Clark United States 12 170 0.9× 31 0.6× 39 0.9× 13 0.4× 32 1.0× 22 454
Jennifer S. Waby United Kingdom 10 318 1.6× 69 1.4× 39 0.9× 43 1.3× 68 2.1× 12 500
Antonio Parisi Italy 11 145 0.7× 48 1.0× 37 0.9× 15 0.4× 24 0.8× 17 348
Praveen K. Sobhan India 12 218 1.1× 33 0.7× 20 0.5× 28 0.8× 23 0.7× 16 370
P.E. Peterson United States 13 297 1.5× 35 0.7× 44 1.0× 16 0.5× 28 0.9× 17 525
Paweł Znojek Czechia 9 143 0.7× 77 1.5× 44 1.0× 21 0.6× 24 0.8× 11 331
Yoshifumi Sasaki Japan 5 125 0.6× 27 0.5× 42 1.0× 24 0.7× 17 0.5× 11 413
Paola Rojas Argentina 12 155 0.8× 91 1.8× 38 0.9× 66 1.9× 21 0.7× 16 400

Countries citing papers authored by Deog Joong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Deog Joong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deog Joong Kim. 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 Deog Joong Kim. The network helps show where Deog Joong Kim may publish in the future.

Co-authorship network of co-authors of Deog Joong Kim

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

All Works

19 of 19 papers shown
1.
Tentler, John J., Julie Lang, Anna Capasso, et al.. (2020). RX-5902, a novel β-catenin modulator, potentiates the efficacy of immune checkpoint inhibitors in preclinical models of triple-negative breast Cancer. BMC Cancer. 20(1). 1063–1063. 21 indexed citations
2.
Capasso, Anna, Stacey M. Bagby, Naomi Currimjee, et al.. (2019). First-in-Class Phosphorylated-p68 Inhibitor RX-5902 Inhibits β-Catenin Signaling and Demonstrates Antitumor Activity in Triple-Negative Breast Cancer. Molecular Cancer Therapeutics. 18(11). 1916–1925. 27 indexed citations
3.
Li, Hong, Yang Liu, Lihua Chen, et al.. (2018). Folate receptor-targeted lipid-albumin nanoparticles (F-LAN) for therapeutic delivery of an Akt1 antisense oligonucleotide. Journal of drug targeting. 26(5-6). 466–473. 12 indexed citations
4.
Li, Hong, Jishan Quan, Mengzi Zhang, et al.. (2016). Lipid–Albumin Nanoparticles (LAN) for Therapeutic Delivery of Antisense Oligonucleotide against HIF-1α. Molecular Pharmaceutics. 13(7). 2555–2562. 23 indexed citations
5.
Lee, Young, Reza Mazhari, & Deog Joong Kim. (2016). The anticancer effects of supinoxin (RX-5902) in renal cell cancer.. Journal of Clinical Oncology. 34(2_suppl). 524–524. 3 indexed citations
6.
Lee, Young, Reza Mazhari, & Deog Joong Kim. (2016). The anticancer effects of supinoxin (RX-5902) in pancreatic carcinoma.. Journal of Clinical Oncology. 34(4_suppl). 238–238. 4 indexed citations
7.
Li, Hong, Xinwei Cheng, Yang Liu, et al.. (2016). Abstract 1322: Folate receptor-targeted lipid coated albumin nanoparticles (F-LCAN) for therapeutic delivery of RX-0201 (Archexin®), an antisense oligonucleotide against Akt-1. Cancer Research. 76(14_Supplement). 1322–1322. 1 indexed citations
8.
9.
Yang, Mi, Young Bok Lee, Chang‐Ho Ahn, et al.. (2014). A novel cytidine analog, RX-3117, shows potent efficacy in xenograft models, even in tumors that are resistant to gemcitabine.. PubMed. 34(12). 6951–9. 17 indexed citations
10.
Yang, Mi, Young Bok Lee, Deog Joong Kim, et al.. (2014). Abstract 819: A novel small molecule cytidine analog, RX-3117, shows potent efficacy in xenograft models, even in tumors that are resistant to treatment with gemcitabine. Cancer Research. 74(19_Supplement). 819–819. 1 indexed citations
11.
Peters, Godefridus J., Kees Smid, Ietje Kathmann, et al.. (2013). Metabolism, mechanism of action and sensitivity profile of fluorocyclopentenylcytosine (RX-3117; TV-1360). Investigational New Drugs. 31(6). 1444–1457. 32 indexed citations
12.
Lee, Dong-Hoon, Deog Joong Kim, In Bum Suh, et al.. (2012). Polymeric LabChip Real-Time PCR as a Point-of-Care-Potential Diagnostic Tool for Rapid Detection of Influenza A/H1N1 Virus in Human Clinical Specimens. PLoS ONE. 7(12). e53325–e53325. 44 indexed citations
13.
Selvaraj, Senthil, et al.. (2012). Clavulanic acid inhibits MPP+-induced ROS generation and subsequent loss of dopaminergic cells. Brain Research. 1469. 129–135. 25 indexed citations
14.
Selvaraj, Senthil, et al.. (2011). Clavulanic acid increases dopamine release in neuronal cells through a mechanism involving enhanced vesicle trafficking. Neuroscience Letters. 504(2). 170–175. 24 indexed citations
15.
Lee, Young Bok, et al.. (2011). Synthesis, anticancer activity and pharmacokinetic analysis of 1-[(substituted 2-alkoxyquinoxalin-3-yl)aminocarbonyl]-4-(hetero)arylpiperazine derivatives. Bioorganic & Medicinal Chemistry. 20(3). 1303–1309. 16 indexed citations
16.
Huh, Youngbuhm, Mi Sun Ju, Craig F. Ferris, et al.. (2010). Clavulanic acid protects neurons in pharmacological models of neurodegenerative diseases. Drug Development Research. 71(6). 351–357. 21 indexed citations
17.
Yoon, Heejeong, Deog Joong Kim, Eun Hyun Ahn, et al.. (2009). Antitumor activity of a novel antisense oligonucleotide against Akt1. Journal of Cellular Biochemistry. 108(4). 832–838. 21 indexed citations
18.
Chan, Johnny S.W., Deog Joong Kim, Chang Ho Ahn, Ronald S. Oosting, & Berend Olivier. (2009). Clavulanic acid stimulates sexual behaviour in male rats. European Journal of Pharmacology. 609(1-3). 69–73. 28 indexed citations
19.
Kang, Sang‐Moo & Deog Joong Kim. (1993). Degradation of cyanide by a bacterial mixture composed of new types of cyanide-degrading bacteria. Biotechnology Letters. 15(2). 201–206. 16 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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