Joon Kim

8.3k total citations · 1 hit paper
193 papers, 6.1k citations indexed

About

Joon Kim is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Joon Kim has authored 193 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Molecular Biology, 32 papers in Oncology and 24 papers in Cancer Research. Recurrent topics in Joon Kim's work include RNA modifications and cancer (35 papers), RNA and protein synthesis mechanisms (30 papers) and DNA Repair Mechanisms (16 papers). Joon Kim is often cited by papers focused on RNA modifications and cancer (35 papers), RNA and protein synthesis mechanisms (30 papers) and DNA Repair Mechanisms (16 papers). Joon Kim collaborates with scholars based in South Korea, United States and Japan. Joon Kim's co-authors include Peter E. Sudbery, Hag Dong Kim, Stuart Linn, Chang‐Young Jang, Jae Yung Lee, Alisa E. Koch, Zoltán Szekanecz, Haeng Ran Seo, Tae Sung Kim and Yeonhwa Song and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Joon Kim

184 papers receiving 6.0k citations

Hit Papers

Candida albicans, a major human fungal pathogen 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joon Kim South Korea 40 3.8k 991 733 583 581 193 6.1k
Noelle S. Williams United States 45 4.3k 1.1× 1.1k 1.2× 800 1.1× 457 0.8× 994 1.7× 113 6.9k
Paul H. Weinreb United States 44 3.4k 0.9× 950 1.0× 455 0.6× 466 0.8× 681 1.2× 78 7.8k
Hyun Kyu Song South Korea 44 4.6k 1.2× 697 0.7× 534 0.7× 741 1.3× 596 1.0× 162 6.5k
Hsin‐Yao Tang United States 40 3.4k 0.9× 664 0.7× 503 0.7× 354 0.6× 532 0.9× 146 5.9k
Ping‐Kun Zhou China 38 4.6k 1.2× 1.4k 1.4× 1.3k 1.8× 692 1.2× 865 1.5× 286 7.7k
Michael Koval United States 55 4.5k 1.2× 459 0.5× 402 0.5× 432 0.7× 788 1.4× 158 8.1k
Robert A. Edwards United States 39 3.2k 0.9× 809 0.8× 742 1.0× 378 0.6× 1.0k 1.7× 117 6.6k
Randall J. Mrsny United States 45 3.1k 0.8× 687 0.7× 280 0.4× 305 0.5× 714 1.2× 123 6.8k
Carmen López‐Iglesias Spain 44 4.1k 1.1× 701 0.7× 374 0.5× 436 0.7× 356 0.6× 128 7.1k
María A. Juliano Brazil 47 4.8k 1.3× 1.5k 1.5× 872 1.2× 1.4k 2.4× 806 1.4× 376 9.1k

Countries citing papers authored by Joon Kim

Since Specialization
Citations

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

Fields of papers citing papers by Joon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joon Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Joon Kim. A scholar is included among the top collaborators of Joon 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 Joon Kim. Joon Kim 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.
Jun, Sun‐Young, et al.. (2023). Feasibility study on the homogeneity and stability of megastigmatrienone isomers for the development of certified reference material. Journal of Food Composition and Analysis. 123. 105573–105573. 1 indexed citations
2.
Cho, Seong‐Jun, Hyun Kyung Choi, Jiyeon Ahn, et al.. (2022). BHMPS Inhibits Breast Cancer Migration and Invasion by Disrupting Rab27a-Mediated EGFR and Fibronectin Secretion. Cancers. 14(2). 373–373. 9 indexed citations
3.
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
4.
Kim, Jihee, et al.. (2021). Radiation-Induced Fibrotic Tumor Microenvironment Regulates Anti-Tumor Immune Response. Cancers. 13(20). 5232–5232. 6 indexed citations
5.
Kim, Tae Sung, et al.. (2021). Production, characterization, and epitope mapping of monoclonal antibodies of ribosomal protein S3 (rpS3). Animal Cells and Systems. 25(5). 323–336.
6.
Ahn, Jiyeon, et al.. (2019). Tumor-Treating Fields Induce RAW264.7 Macrophage Activation Via NK-κB/MAPK Signaling Pathways. Technology in Cancer Research & Treatment. 18. 1078135873–1078135873. 24 indexed citations
7.
Kim, Hyo Jin, Ah Young Kim, Jie Song, et al.. (2019). Antitumor Activity of a Novel Tyrosine Kinase Inhibitor AIU2001 Due to Abrogation of the DNA Damage Repair in Non-Small Cell Lung Cancer Cells. International Journal of Molecular Sciences. 20(19). 4728–4728. 14 indexed citations
9.
Han, Jun Hee, et al.. (2015). Effects of humidity and depurination on the charge transport in DNA films. Journal of Applied Physics. 117(1). 2 indexed citations
10.
Kang, Ji‐Hoon, Wanyeon Kim, Ki Moon Seong, et al.. (2013). Rhamnetin and Cirsiliol Induce Radiosensitization and Inhibition of Epithelial-Mesenchymal Transition (EMT) by miR-34a-mediated Suppression of Notch-1 Expression in Non-small Cell Lung Cancer Cell Lines. Journal of Biological Chemistry. 288(38). 27343–27357. 160 indexed citations
11.
Kim, Hag Dong, et al.. (2013). Ribosomal protein S3 is secreted as a homodimer in cancer cells. Biochemical and Biophysical Research Communications. 441(4). 805–808. 17 indexed citations
12.
Kim, Miseon, Seo-Hyun Choi, Yeung Bae Jin, et al.. (2013). The effect of oxidized low-density lipoprotein (ox-LDL) on radiation-induced endothelial-to-mesenchymal transition. International Journal of Radiation Biology. 89(5). 356–363. 51 indexed citations
13.
Kim, Eun Ho, et al.. (2009). Heat Shock Factor 1–Mediated Aneuploidy Requires a Defective Function of p53. Cancer Research. 69(24). 9404–9412. 21 indexed citations
14.
Nam, Hae Yun, Seok Min Kwon, Hyunjin Chung, et al.. (2009). Cellular uptake mechanism and intracellular fate of hydrophobically modified glycol chitosan nanoparticles. Journal of Controlled Release. 135(3). 259–267. 488 indexed citations
15.
Kim, Eun Ho, Hae‐June Lee, Dae-Hoon Lee, et al.. (2007). Inhibition of Heat Shock Protein 27–Mediated Resistance to DNA Damaging Agents by a Novel PKCδ-V5 Heptapeptide. Cancer Research. 67(13). 6333–6341. 49 indexed citations
16.
Lee, Jae Yung, et al.. (2005). DNA repair activity of human rpS3 is operative to genotoxic damage in bacteria. Journal of Microbiology and Biotechnology. 15(3). 484–490. 2 indexed citations
17.
Kim, Joon, et al.. (2005). RT-PCR amplification of CK 20 mRNA in the peripheral blood of breast cancer patients: correlation with established prognostic parameters. Biomedicine & Pharmacotherapy. 59. S380–S383. 2 indexed citations
18.
Yu, Erhui, et al.. (2001). Nutritional status of Korean Americans: implications for cancer risk.. PubMed. 27(10). 1573–83. 22 indexed citations
19.
Lee, Yongchan, et al.. (2001). Identification of a gene for aerobic growth with a SoxS binding sequence in Escherichia coli by operon fusion techniques. Journal of Microbiology and Biotechnology. 11(6). 1115–1119.
20.
Choy, Jin‐Ho, et al.. (1991). A Study on the Synthesis of High-Purity ${\alpha}-Al_2O_3$ Ultra-Fine Powders by Wet Chemical Method. Journal of the Korean Chemical Society. 35(3). 275–279. 1 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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