Jee‐Heon Jeong

6.8k total citations
180 papers, 5.5k citations indexed

About

Jee‐Heon Jeong is a scholar working on Biomedical Engineering, Molecular Biology and Biomaterials. According to data from OpenAlex, Jee‐Heon Jeong has authored 180 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Biomedical Engineering, 54 papers in Molecular Biology and 51 papers in Biomaterials. Recurrent topics in Jee‐Heon Jeong's work include Nanoplatforms for cancer theranostics (45 papers), Nanoparticle-Based Drug Delivery (44 papers) and Pancreatic function and diabetes (36 papers). Jee‐Heon Jeong is often cited by papers focused on Nanoplatforms for cancer theranostics (45 papers), Nanoparticle-Based Drug Delivery (44 papers) and Pancreatic function and diabetes (36 papers). Jee‐Heon Jeong collaborates with scholars based in South Korea, United States and Vietnam. Jee‐Heon Jeong's co-authors include Jong Oh Kim, Chul Soon Yong, Han‐Gon Choi, Simmyung Yook, Shiva Pathak, Asmita Banstola, Sae‐Kwang Ku, Hanh Thuy Nguyen, Shobha Regmi and Chul Soon Yong and has published in prestigious journals such as Advanced Materials, ACS Nano and Biomaterials.

In The Last Decade

Jee‐Heon Jeong

170 papers receiving 5.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jee‐Heon Jeong South Korea 43 2.1k 1.7k 1.6k 826 748 180 5.5k
Jie Gao China 43 1.8k 0.8× 2.9k 1.7× 1.7k 1.0× 689 0.8× 882 1.2× 238 6.4k
Hao Cheng United States 39 2.2k 1.0× 1.8k 1.1× 1.4k 0.8× 672 0.8× 542 0.7× 92 5.0k
Anna Schwendeman United States 34 2.2k 1.0× 2.2k 1.3× 1.4k 0.9× 1.9k 2.2× 956 1.3× 113 5.9k
Xiaozhou Mou China 38 2.5k 1.1× 1.9k 1.1× 974 0.6× 535 0.6× 667 0.9× 185 5.8k
Alessandro Parodi Italy 31 1.8k 0.8× 1.9k 1.1× 1.6k 1.0× 493 0.6× 259 0.3× 109 4.8k
Yifei Lü China 40 2.3k 1.1× 2.0k 1.1× 1.8k 1.1× 1.1k 1.3× 645 0.9× 139 5.8k
Marilena Loizidou United Kingdom 34 1.8k 0.8× 1.9k 1.1× 1.1k 0.6× 453 0.5× 982 1.3× 104 5.9k
Qing Yao China 43 1.2k 0.6× 1.8k 1.0× 1.3k 0.8× 459 0.6× 530 0.7× 172 5.2k
Robbert J. Kok Netherlands 44 1.2k 0.6× 3.0k 1.7× 1.7k 1.1× 614 0.7× 658 0.9× 136 6.4k
Juan Antonio Marchal Spain 44 1.4k 0.7× 2.6k 1.5× 957 0.6× 426 0.5× 1.0k 1.4× 250 6.3k

Countries citing papers authored by Jee‐Heon Jeong

Since Specialization
Citations

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

Fields of papers citing papers by Jee‐Heon Jeong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jee‐Heon Jeong. 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 Jee‐Heon Jeong. The network helps show where Jee‐Heon Jeong may publish in the future.

Co-authorship network of co-authors of Jee‐Heon Jeong

This figure shows the co-authorship network connecting the top 25 collaborators of Jee‐Heon Jeong. A scholar is included among the top collaborators of Jee‐Heon Jeong 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 Jee‐Heon Jeong. Jee‐Heon Jeong 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.
Giri, Anil K., Seho Kweon, In‐Sun Hong, et al.. (2025). CD44-targeted nanoparticles for remodeling the tumor microenvironment in a 3D macrophage-embedded ovarian cancer model with stem cell-like features. International Journal of Pharmaceutics. 674. 125483–125483. 3 indexed citations
2.
Nguyen, Tiep Tien, et al.. (2025). Enhancing hair regrowth using rapamycin-primed mesenchymal stem cell-derived exosomes. Theranostics. 15(14). 6938–6956.
3.
Wei, Shibo, Mi-Ju Park, Seungyoon Nam, et al.. (2024). CDKN2 expression is a potential biomarker for T cell exhaustion in hepatocellular carcinoma. BMB Reports. 57(6). 287–292.
4.
Park, Bo-Yoon, et al.. (2024). Three-dimensional adipose-derived stem cell spheroids enhance adipogenesis and angiogenesis in fat grafts: experimental research. International Journal of Surgery. 110(12). 8228–8232.
5.
Pham, Tung Thanh, Jeong Uk Choi, Jae Hyeon Kim, et al.. (2023). Magnetic resonance imaging of pancreatic islets using tissue–adhesive particles containing iron oxide nanoparticles. Journal of Controlled Release. 364. 37–45. 7 indexed citations
6.
Jin, Eun‐Ju, Shibo Wei, Yosep Ji, et al.. (2023). The impact of cancer cachexia on gut microbiota composition and short-chain fatty acid metabolism in a murine model. BMB Reports. 56(7). 404–409. 9 indexed citations
7.
8.
Wang, Yi, et al.. (2023). Nanoengineered mesenchymal stem cell therapy for pulmonary fibrosis in young and aged mice. Science Advances. 9(29). eadg5358–eadg5358. 50 indexed citations
9.
Seo, Yoojin, et al.. (2022). Formulation of secretome derived from mesenchymal stem cells for inflammatory skin diseases. Journal of Pharmaceutical Investigation. 53(2). 235–248. 6 indexed citations
10.
Lee, Yoojin, Tiep Tien Nguyen, Su-Jin Han, et al.. (2021). Eudesmane and Eremophilane Sesquiterpenes from the Fruits of Alpinia oxyphylla with Protective Effects against Oxidative Stress in Adipose-Derived Mesenchymal Stem Cells. Molecules. 26(6). 1762–1762. 20 indexed citations
11.
Phung, Cao Dai, Tuan Hiep Tran, Jee‐Heon Jeong, et al.. (2021). Pre- and Post-Transcriptional Regulation of cFLIP for Effective Cancer Therapy Using pH-Ultrasensitive Nanoparticles. ACS Applied Materials & Interfaces. 13(5). 5999–6010. 14 indexed citations
12.
Emami, Fakhrossadat, et al.. (2021). Bio-Inspired and Smart Nanoparticles for Triple Negative Breast Cancer Microenvironment. Pharmaceutics. 13(2). 287–287. 25 indexed citations
13.
14.
Emami, Fakhrossadat, Asmita Banstola, Alireza Vatanara, et al.. (2019). Doxorubicin and Anti-PD-L1 Antibody Conjugated Gold Nanoparticles for Colorectal Cancer Photochemotherapy. Molecular Pharmaceutics. 16(3). 1184–1199. 137 indexed citations
15.
Duwa, Ramesh, Fakhrossadat Emami, Sooyeun Lee, Jee‐Heon Jeong, & Simmyung Yook. (2019). Polymeric and lipid-based drug delivery systems for treatment of glioblastoma multiforme. Journal of Industrial and Engineering Chemistry. 79. 261–273. 38 indexed citations
16.
Lee, Dongkyoung, Shiva Pathak, & Jee‐Heon Jeong. (2019). Design and manufacture of 3D cell culture plate for mass production of cell-spheroids. Scientific Reports. 9(1). 13976–13976. 29 indexed citations
17.
Ou, Wenquan, Raj Kumar Thapa, Liyuan Jiang, et al.. (2018). Regulatory T cell-targeted hybrid nanoparticles combined with immuno-checkpoint blockage for cancer immunotherapy. Journal of Controlled Release. 281. 84–96. 163 indexed citations
18.
Thapa, Raj Kumar, Zar Chi Soe, Wenquan Ou, et al.. (2018). Palladium nanoparticle-decorated 2-D graphene oxide for effective photodynamic and photothermal therapy of prostate solid tumors. Colloids and Surfaces B Biointerfaces. 169. 429–437. 50 indexed citations
19.
Gupta, Biki, Bijay Kumar Poudel, Shobha Regmi, et al.. (2018). Paclitaxel and Erlotinib-co-loaded Solid Lipid Core Nanocapsules: Assessment of Physicochemical Characteristics and Cytotoxicity in Non-small Cell Lung Cancer. Pharmaceutical Research. 35(5). 96–96. 19 indexed citations
20.
Nguyen, Hanh Thuy, Raj Kumar Thapa, Beom Soo Shin, et al.. (2017). CD9 monoclonal antibody-conjugated PEGylated liposomes for targeted delivery of rapamycin in the treatment of cellular senescence. Nanotechnology. 28(9). 95101–95101. 35 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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