Kyung‐Ju Choi

1.3k total citations
20 papers, 1.1k citations indexed

About

Kyung‐Ju Choi is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Kyung‐Ju Choi has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Genetics. Recurrent topics in Kyung‐Ju Choi's work include Virus-based gene therapy research (7 papers), CAR-T cell therapy research (6 papers) and RNA Interference and Gene Delivery (6 papers). Kyung‐Ju Choi is often cited by papers focused on Virus-based gene therapy research (7 papers), CAR-T cell therapy research (6 papers) and RNA Interference and Gene Delivery (6 papers). Kyung‐Ju Choi collaborates with scholars based in South Korea, United States and Ethiopia. Kyung‐Ju Choi's co-authors include Soonhag Kim, Chae‐Ok Yun, Joo-Hang Kim, Il-Kyu Choi, Minhyung Lee, Jin Kyeoung Kim, Hoguen Kim, Sang‐Kyu Ye, Yun-Han Lee and Hae Young Ko and has published in prestigious journals such as Biomaterials, Hepatology and Cancer Research.

In The Last Decade

Kyung‐Ju Choi

20 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
Kyung‐Ju Choi South Korea 15 669 402 330 195 155 20 1.1k
Nina M. Muñoz United States 19 660 1.0× 416 1.0× 176 0.5× 174 0.9× 159 1.0× 29 1.3k
Funan Liu China 20 613 0.9× 302 0.8× 187 0.6× 158 0.8× 140 0.9× 54 1.3k
Todd Machemer United States 18 751 1.1× 221 0.5× 358 1.1× 86 0.4× 121 0.8× 28 1.1k
Emil Bulatov Russia 22 726 1.1× 610 1.5× 140 0.4× 97 0.5× 250 1.6× 55 1.2k
Dongping Wei China 21 870 1.3× 472 1.2× 117 0.4× 198 1.0× 74 0.5× 33 1.2k
Che‐Chang Chang Taiwan 20 1.1k 1.7× 349 0.9× 139 0.4× 219 1.1× 242 1.6× 43 1.6k
Lopamudra Das Roy United States 16 605 0.9× 599 1.5× 81 0.2× 203 1.0× 369 2.4× 31 1.1k
Lawrence H. Cheung United States 26 733 1.1× 326 0.8× 112 0.3× 164 0.8× 587 3.8× 62 1.5k
Jiang Ren China 21 772 1.2× 499 1.2× 92 0.3× 289 1.5× 212 1.4× 34 1.3k
Kristie-Ann Dickson Australia 12 414 0.6× 199 0.5× 89 0.3× 154 0.8× 54 0.3× 21 799

Countries citing papers authored by Kyung‐Ju Choi

Since Specialization
Citations

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

Fields of papers citing papers by Kyung‐Ju Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyung‐Ju Choi. 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 Kyung‐Ju Choi. The network helps show where Kyung‐Ju Choi may publish in the future.

Co-authorship network of co-authors of Kyung‐Ju Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Kyung‐Ju Choi. A scholar is included among the top collaborators of Kyung‐Ju Choi 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 Kyung‐Ju Choi. Kyung‐Ju Choi 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.
Kong, So Jung, So Young Kim, Chan Kim, et al.. (2020). Antitumor effects of IL-12 and GM-CSF co-expressed in an engineered oncolytic HSV-1. Gene Therapy. 28(3-4). 186–198. 31 indexed citations
2.
Lee, Jong‐Hwan, et al.. (2015). Theragnosis-based combined cancer therapy using doxorubicin-conjugated microRNA-221 molecular beacon. Biomaterials. 74. 109–118. 18 indexed citations
3.
Cha, Jihye, Taewon Jeon, Chang Geol Lee, et al.. (2015). Electro-hyperthermia inhibits glioma tumorigenicity through the induction of E2F1-mediated apoptosis. International Journal of Hyperthermia. 31(7). 784–792. 36 indexed citations
4.
Won, Cheolhee, Byung‐Hak Kim, Eun Hee Yi, et al.. (2015). Signal transducer and activator of transcription 3‐mediated CD133 up‐regulation contributes to promotion of hepatocellular carcinoma. Hepatology. 62(4). 1160–1173. 155 indexed citations
5.
Lee, Jong‐Hwan, Kyung‐Ju Choi, Youngsok Choi, et al.. (2015). Sperm DNA-mediated reduction of nonspecific fluorescence during cellular imaging with quantum dots. Chemical Communications. 51(58). 11584–11586. 1 indexed citations
6.
Choi, Kyung‐Ju, et al.. (2015). Molecular Targeted Therapy for Hepatocellular Carcinoma: Present Status and Future Directions. 38(7). 986–991. 3 indexed citations
7.
Choi, Kyung‐Ju, et al.. (2015). Molecular Targeted Therapy for Hepatocellular Carcinoma: Present Status and Future Directions. Biological and Pharmaceutical Bulletin. 38(7). 986–991. 56 indexed citations
8.
Lee, Yun-Han, Daekwan Seo, Kyung‐Ju Choi, et al.. (2014). Antitumor Effects in Hepatocarcinoma of Isoform-Selective Inhibition of HDAC2. Cancer Research. 74(17). 4752–4761. 77 indexed citations
9.
Choi, Il-Kyu, et al.. (2011). Optimizing DC Vaccination by Combination With Oncolytic Adenovirus Coexpressing IL-12 and GM-CSF. Molecular Therapy. 19(8). 1558–1568. 72 indexed citations
11.
Zhang, Songnan, Il‐Kyu Choi, Jinghua Huang, et al.. (2011). Optimizing DC vaccination by combination with oncolytic adenovirus coexpressing IL-12 and GM-CSF. 19(8). 1558–1568. 1 indexed citations
12.
Kang, Won Jun, et al.. (2010). Molecular beacon-based bioimaging of multiple microRNAs during myogenesis. Biomaterials. 32(7). 1915–1922. 87 indexed citations
13.
Ko, Hae Young, Kyung‐Ju Choi, Young Moo Lee, & Soonhag Kim. (2010). A multimodal nanoparticle-based cancer imaging probe simultaneously targeting nucleolin, integrin αvβ3 and tenascin-C proteins. Biomaterials. 32(4). 1130–1138. 74 indexed citations
14.
Choi, Kyung‐Ju, Il-Kyu Choi, Joo-Hang Kim, et al.. (2009). Therapeutic and Tumor-specific Immunity Induced by Combination of Dendritic Cells and Oncolytic Adenovirus Expressing IL-12 and 4-1BBL. Molecular Therapy. 18(2). 264–274. 102 indexed citations
15.
Choi, Kyung‐Ju, et al.. (2008). Insight into DNA and Protein Transport in Double-stranded DNA Viruses: The Structure of Bacteriophage N4. Microscopy and Microanalysis. 14(S2). 1574–1575. 4 indexed citations
16.
Kim, Jae‐Sung, Joo-Hang Kim, Kyung‐Ju Choi, Pyung-Hwan Kim, & Chae‐Ok Yun. (2007). E1A- and E1B-Double Mutant Replicating Adenovirus Elicits Enhanced Oncolytic and Antitumor Effects. Human Gene Therapy. 18(9). 773–786. 57 indexed citations
17.
Choi, Kyung‐Ju, et al.. (2006). A Study on the Reliability and Validity test of the QSCC II + (Revised Questionnaire for the Sasang Constitution Classification). Journal of Sasang Constitutional Medicine. 18(1). 62–74. 6 indexed citations
18.
Kim, Joo-Hang, Kyung‐Ju Choi, Il-Kyu Choi, et al.. (2006). Enhanced Antitumor Effect of Oncolytic Adenovirus Expressing Interleukin-12 and B7-1 in an Immunocompetent Murine Model. Clinical Cancer Research. 12(19). 5859–5868. 105 indexed citations
19.
Hong, Seunghee, et al.. (2004). Liposome-complexed adenoviral gene transfer in cancer cells expressing various levels of coxsackievirus and adenovirus receptor. Journal of Cancer Research and Clinical Oncology. 130(3). 169–177. 24 indexed citations
20.
Jankowska, E., Tiina Reponen, Klaus Willeke, Sergey A. Grinshpun, & Kyung‐Ju Choi. (2000). COLLECTION OF FUNGAL SPORES ON AIR FILTERS AND SPORE REENTRAINMENT FROM FILTERS INTO AIR. Journal of Aerosol Science. 31(8). 969–978. 54 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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