Jaehong Key

3.2k total citations
73 papers, 2.5k citations indexed

About

Jaehong Key is a scholar working on Molecular Biology, Plant Science and Biomedical Engineering. According to data from OpenAlex, Jaehong Key has authored 73 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 25 papers in Plant Science and 22 papers in Biomedical Engineering. Recurrent topics in Jaehong Key's work include Nanoparticle-Based Drug Delivery (12 papers), Soybean genetics and cultivation (10 papers) and Nanoplatforms for cancer theranostics (8 papers). Jaehong Key is often cited by papers focused on Nanoparticle-Based Drug Delivery (12 papers), Soybean genetics and cultivation (10 papers) and Nanoplatforms for cancer theranostics (8 papers). Jaehong Key collaborates with scholars based in United States, South Korea and Italy. Jaehong Key's co-authors include Ronald T. Nagao, Jong Chan Hong, William B. Gurley, Paolo Decuzzi, Santosh Aryal, J. Stephen Gantt, Yuh‐Ru Julie Lee, Cinzia Stigliano, David C. Baulcombe and John C. Walker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and ACS Nano.

In The Last Decade

Jaehong Key

71 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jaehong Key United States 32 1.4k 1.2k 431 370 175 73 2.5k
Donald J. MacKenzie Canada 22 981 0.7× 1.0k 0.8× 265 0.6× 207 0.6× 166 0.9× 32 2.3k
Mathieu Erhardt France 21 1.3k 0.9× 1.0k 0.8× 604 1.4× 133 0.4× 567 3.2× 39 2.4k
Huijun Yang China 32 2.0k 1.4× 1.4k 1.2× 471 1.1× 85 0.2× 143 0.8× 64 3.5k
Raúl Machado Portugal 24 817 0.6× 357 0.3× 257 0.6× 509 1.4× 85 0.5× 95 2.0k
Yuzhen Li China 21 741 0.5× 480 0.4× 329 0.8× 120 0.3× 143 0.8× 99 1.7k
Yūkō Arai Japan 21 632 0.5× 667 0.5× 184 0.4× 179 0.5× 59 0.3× 63 1.6k
Tetsuya Yamada Japan 39 1.3k 0.9× 2.7k 2.2× 125 0.3× 271 0.7× 325 1.9× 173 4.4k
Ruimin Li China 22 916 0.7× 523 0.4× 286 0.7× 132 0.4× 302 1.7× 94 1.7k
Ke Xie China 28 1.3k 0.9× 1.1k 0.9× 155 0.4× 132 0.4× 66 0.4× 67 2.2k
B. Tracy Nixon United States 30 3.5k 2.5× 1.1k 0.9× 291 0.7× 333 0.9× 379 2.2× 58 5.0k

Countries citing papers authored by Jaehong Key

Since Specialization
Citations

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

Fields of papers citing papers by Jaehong Key

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaehong Key

This figure shows the co-authorship network connecting the top 25 collaborators of Jaehong Key. A scholar is included among the top collaborators of Jaehong Key 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 Jaehong Key. Jaehong Key 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.
Ko, Jonathan, et al.. (2025). Explainable Artificial Intelligence Models for Predicting Depression Based on Polysomnographic Phenotypes. Bioengineering. 12(2). 186–186. 4 indexed citations
2.
Oh, Sejong, Jonathan Ko, Erdenebayar Urtnasan, & Jaehong Key. (2025). AI-Based Approaches for Automatic Prescreening of Parkinson’s Disease Using EEG Signal during Sleep. International Journal of Fuzzy Logic and Intelligent Systems. 25(2). 146–155.
3.
Park, Jun Young, et al.. (2025). Silk protein discoidal microparticles for site-specific delivery of docetaxel in metastatic lung cancer. Materials Today Bio. 34. 102189–102189.
4.
Choi, Wonseok, et al.. (2023). Single-channel acoustic vortex tweezer with attachable fan-shaped holographic lens. International Journal of Mechanical Sciences. 260. 108635–108635. 9 indexed citations
5.
Park, Hyungkyu, et al.. (2023). Clinical Trials for Oral, Inhaled and Intravenous Drug Delivery System for Lung Cancer and Emerging Nanomedicine-Based Approaches. International Journal of Nanomedicine. Volume 18. 7865–7888. 14 indexed citations
6.
Park, Hyungkyu, Chaewon Park, Wan Su Yun, et al.. (2022). Improved survival rate and minimal side effects of doxorubicin for lung metastasis using engineered discoidal polymeric particles. Biomaterials Science. 10(15). 4335–4344. 1 indexed citations
7.
Choi, Wonseok, et al.. (2022). Targeted thrombolysis by magnetoacoustic particles in photothrombotic stroke model. Biomaterials Research. 26(1). 58–58. 13 indexed citations
8.
Park, Jeong‐Eun, Sung Kyun Kim, Wan Su Yun, et al.. (2022). Protection of Hearing Loss in Ototoxic Mouse Model Through SPIONs and Dexamethasone-Loaded PLGA Nanoparticle Delivery by Magnetic Attraction. International Journal of Nanomedicine. Volume 17. 6317–6334. 8 indexed citations
9.
Choi, Wonseok, Jaehong Key, Inchan Youn, Hyojin Lee, & Sungmin Han. (2022). Cavitation-assisted sonothrombolysis by asymmetrical nanostars for accelerated thrombolysis. Journal of Controlled Release. 350. 870–885. 16 indexed citations
10.
Yun, Wan Su, et al.. (2020). Engineered iron oxide nanoparticles to improve regenerative effects of mesenchymal stem cells. Biomedical Engineering Letters. 10(2). 259–273. 15 indexed citations
11.
Park, Insu, Jongwon Lim, Sung Hoon Kim, et al.. (2020). Variable Membrane Dielectric Polarization Characteristic in Individual Live Cells. The Journal of Physical Chemistry Letters. 11(17). 7197–7203. 6 indexed citations
12.
Park, Dong Jun, Wan Su Yun, Jeong‐Eun Park, et al.. (2020). Improvement of stem cell-derived exosome release efficiency by surface-modified nanoparticles. Journal of Nanobiotechnology. 18(1). 178–178. 62 indexed citations
13.
Kong, Tae Hoon, et al.. (2019). <p>Strategies to enhance efficacy of SPION-labeled stem cell homing by magnetic attraction: a systemic review with meta-analysis</p>. International Journal of Nanomedicine. Volume 14. 4849–4866. 21 indexed citations
15.
Aryal, Santosh, Jaehong Key, Cinzia Stigliano, et al.. (2013). Engineered magnetic hybrid nanoparticles with enhanced relaxivity for tumor imaging. Biomaterials. 34(31). 7725–7732. 51 indexed citations
16.
LaFayette, Peter R., Ronald T. Nagao, Kevin E. O’Grady, Elizabeth Vierling, & Jaehong Key. (1996). Molecular characterization of cDNAs encoding low-molecular-weight heat shock proteins of soybean organelles.. Plant Molecular Biology. 3 indexed citations
17.
Hong, Jong Chan, et al.. (1994). Isolation and Characterization of Three Soybean Extensin cDNAs. PLANT PHYSIOLOGY. 104(2). 793–796. 18 indexed citations
18.
Helm, Kenneth W., et al.. (1993). Localization of small HSPs to the higher plant endomembrane system.. Molecular and Cellular Biology. 4 indexed citations
19.
Key, Jaehong, et al.. (1989). Responses to heat shock, arsenite and cadmium in soybean. 1 indexed citations
20.
Key, Jaehong & Carolyn D. Silflow. (1975). The Occurrence and Distribution of Poly(A) Ribonucleic Acid in Soybean. PLANT PHYSIOLOGY. 56(3). 364–369. 33 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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