Ju Hee Ryu

6.5k total citations · 2 hit papers
72 papers, 5.2k citations indexed

About

Ju Hee Ryu is a scholar working on Molecular Biology, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Ju Hee Ryu has authored 72 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 25 papers in Biomedical Engineering and 18 papers in Biomaterials. Recurrent topics in Ju Hee Ryu's work include Nanoplatforms for cancer theranostics (22 papers), Advanced biosensing and bioanalysis techniques (18 papers) and RNA Interference and Gene Delivery (15 papers). Ju Hee Ryu is often cited by papers focused on Nanoplatforms for cancer theranostics (22 papers), Advanced biosensing and bioanalysis techniques (18 papers) and RNA Interference and Gene Delivery (15 papers). Ju Hee Ryu collaborates with scholars based in South Korea, United States and Denmark. Ju Hee Ryu's co-authors include Ick Chan Kwon, Kwangmeyung Kim, Heebeom Koo, In‐Cheol Sun, Dong‐Eun Lee, Kuiwon Choi, Jooho Park, Byung‐Soo Kim, Wooram Um and William M. Shih and has published in prestigious journals such as Chemical Society Reviews, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Ju Hee Ryu

70 papers receiving 5.2k citations

Hit Papers

Multifunctional nanoparti... 2011 2026 2016 2021 2011 2017 250 500 750 1000

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ju Hee Ryu 2.5k 2.3k 1.7k 1.1k 402 72 5.2k
Gang Huang 2.8k 1.1× 2.0k 0.9× 1.7k 1.0× 1.5k 1.3× 296 0.7× 72 5.8k
Forrest M. Kievit 3.3k 1.3× 2.1k 0.9× 3.0k 1.8× 934 0.8× 295 0.7× 80 6.1k
J. Andrew MacKay 1.5k 0.6× 3.1k 1.4× 2.5k 1.5× 675 0.6× 307 0.8× 98 6.6k
Yuanpei Li 2.9k 1.2× 2.1k 0.9× 2.8k 1.7× 1.2k 1.1× 230 0.6× 121 6.0k
Anthony J. Tavares 3.7k 1.5× 2.5k 1.1× 3.2k 2.0× 1.5k 1.3× 212 0.5× 20 6.6k
Shyh‐Dar Li 2.8k 1.1× 3.3k 1.4× 3.5k 2.1× 755 0.7× 462 1.1× 92 7.0k
James P. Basilion 1.7k 0.7× 2.2k 1.0× 1.1k 0.6× 900 0.8× 298 0.7× 84 5.3k
Emily S. Day 2.4k 1.0× 1.9k 0.8× 1.5k 0.9× 995 0.9× 385 1.0× 66 4.6k
Julie Audet 2.9k 1.2× 1.9k 0.8× 2.4k 1.4× 761 0.7× 178 0.4× 47 5.3k
Hai‐Yan Xie 2.4k 1.0× 2.4k 1.1× 680 0.4× 1.9k 1.6× 398 1.0× 125 5.3k

Countries citing papers authored by Ju Hee Ryu

Since Specialization
Citations

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

Fields of papers citing papers by Ju Hee Ryu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ju Hee Ryu. 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 Ju Hee Ryu. The network helps show where Ju Hee Ryu may publish in the future.

Co-authorship network of co-authors of Ju Hee Ryu

This figure shows the co-authorship network connecting the top 25 collaborators of Ju Hee Ryu. A scholar is included among the top collaborators of Ju Hee Ryu 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 Ju Hee Ryu. Ju Hee Ryu 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.
Choi, Young‐Jin, et al.. (2025). Receptor-ligand interactions for optimized endocytosis in targeted therapies. Journal of Controlled Release. 380. 524–538. 11 indexed citations
2.
Kang, Seung Hyun, et al.. (2025). Targeting and exploiting macropinocytosis in cancer therapy. Journal of Controlled Release. 385. 113962–113962. 1 indexed citations
3.
Choi, Young‐Jin, Nakwon Choi, Chansoo Kim, et al.. (2025). Fluorescence-guided tumor resection with a cathepsin B-activatable, EGFR-targeted probe and a dual-mode surgical exoscope. European Journal of Medicinal Chemistry. 300. 118108–118108.
4.
Park, Ji‐Ho, et al.. (2024). Applications of Cu2+-Loaded Silica Nanoparticles to Photothermal Therapy and Tumor-Specific Fluorescence Imaging. Journal of Functional Biomaterials. 15(4). 81–81. 5 indexed citations
5.
Kwon, Ick Chan, et al.. (2024). Cargo Quantification of Functionalized DNA Origami for Therapeutic Application. Small Methods. 9(5). e2401376–e2401376. 1 indexed citations
6.
Jang, Mihue, Eun Sun Kim, Chansoo Kim, et al.. (2023). Predicting response to anti-EGFR antibody, cetuximab, therapy by monitoring receptor internalization and degradation. Biomaterials. 303. 122382–122382. 10 indexed citations
7.
Lee, Eunju, Jae Hwan Oh, Inhwa Hwang, et al.. (2022). Therapeutic effect of NLRP3 inhibition on hearing loss induced by systemic inflammation in a CAPS-associated mouse model. EBioMedicine. 82. 104184–104184. 29 indexed citations
8.
Yang, Suah, Man Kyu Shim, Jiwoong Choi, et al.. (2021). Cancer-activated doxorubicin prodrug nanoparticles induce preferential immune response with minimal doxorubicin-related toxicity. Biomaterials. 272. 120791–120791. 121 indexed citations
9.
Kim, Han Young, Youngjin Choi, Eun Chul Cho, et al.. (2021). Detection of Lysyl Oxidase Activity in Tumor Extracellular Matrix Using Peptide-Functionalized Gold Nanoprobes. Cancers. 13(18). 4523–4523. 7 indexed citations
10.
Chang, Hyeyoun, et al.. (2021). RNAi-Based Approaches for Pancreatic Cancer Therapy. Pharmaceutics. 13(10). 1638–1638. 12 indexed citations
11.
Hwang, Inhwa, et al.. (2021). Antimicrobial Peptide LL-37 Drives Rosacea-Like Skin Inflammation in an NLRP3-Dependent Manner. Journal of Investigative Dermatology. 141(12). 2885–2894.e5. 57 indexed citations
12.
Ryu, Ju Hee, Hong Yeol Yoon, In‐Cheol Sun, Ick Chan Kwon, & Kwangmeyung Kim. (2020). Tumor‐Targeting Glycol Chitosan Nanoparticles for Cancer Heterogeneity. Advanced Materials. 32(51). e2002197–e2002197. 116 indexed citations
13.
Kang, Mikyung, Jihye Hong, Mungyo Jung, et al.. (2020). T‐Cell‐Mimicking Nanoparticles for Cancer Immunotherapy. Advanced Materials. 32(39). e2003368–e2003368. 103 indexed citations
14.
Ponnuswamy, Nandhini, Maartje M. C. Bastings, Bhavik Nathwani, et al.. (2017). Oligolysine-based coating protects DNA nanostructures from low-salt denaturation and nuclease degradation. Nature Communications. 8(1). 15654–15654. 399 indexed citations breakdown →
15.
Kwon, Koo Chul, Ju Hee Ryu, Jong‐Hwan Lee, et al.. (2014). Proteinticle/Gold Core/Shell Nanoparticles for Targeted Cancer Therapy without Nanotoxicity. Advanced Materials. 26(37). 6436–6441. 58 indexed citations
16.
Ryu, Ju Hee, Jin Hee Na, Dong Gil You, et al.. (2013). Non-invasive optical imaging of cathepsin B with activatable fluorogenic nanoprobes in various metastatic models. Biomaterials. 35(7). 2302–2311. 47 indexed citations
17.
Ryu, Ju Hee, Heebeom Koo, In‐Cheol Sun, et al.. (2012). Tumor-targeting multi-functional nanoparticles for theragnosis: New paradigm for cancer therapy. Advanced Drug Delivery Reviews. 64(13). 1447–1458. 188 indexed citations
19.
Ryu, Ju Hee, Minsoo Kim, Gyun Min Lee, Cha Yong Choi, & Byung‐Soo Kim. (2004). The use of polymer nanospheres in animal cell suspension culture enhances recombinant protein production. 한국생물공학회 학술대회. 93–96. 1 indexed citations
20.
Cho, Seung‐Woo, Hee Jung Park, Ju Hee Ryu, et al.. (2004). Vascular patches tissue-engineered with autologous bone marrow-derived cells and decellularized tissue matrices. Biomaterials. 26(14). 1915–1924. 78 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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