Ester J. Kwon

2.5k total citations
40 papers, 1.8k citations indexed

About

Ester J. Kwon is a scholar working on Molecular Biology, Biomedical Engineering and Neurology. According to data from OpenAlex, Ester J. Kwon has authored 40 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 12 papers in Biomedical Engineering and 6 papers in Neurology. Recurrent topics in Ester J. Kwon's work include RNA Interference and Gene Delivery (18 papers), Advanced biosensing and bioanalysis techniques (13 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). Ester J. Kwon is often cited by papers focused on RNA Interference and Gene Delivery (18 papers), Advanced biosensing and bioanalysis techniques (13 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). Ester J. Kwon collaborates with scholars based in United States, South Korea and Italy. Ester J. Kwon's co-authors include Sangeeta N. Bhatia, Li‐Huei Tsai, Wenyuan Wang, Matthew Skalak, Suzie H. Pun, Michael J. Sailor, Erkki Ruoslahti, Justin H. Lo, Jamie M. Bergen and Jaideep S. Dudani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Ester J. Kwon

40 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ester J. Kwon United States 21 1.1k 442 321 260 235 40 1.8k
Kristen Kozielski United States 22 1.0k 0.9× 679 1.5× 140 0.4× 337 1.3× 127 0.5× 34 1.9k
Do Won Hwang South Korea 28 2.0k 1.8× 568 1.3× 857 2.7× 291 1.1× 236 1.0× 72 2.7k
Mónica L. Fanárraga Spain 27 1.1k 1.0× 555 1.3× 118 0.4× 344 1.3× 384 1.6× 84 2.3k
Hiroyuki Michiue Japan 27 1.3k 1.1× 147 0.3× 308 1.0× 154 0.6× 272 1.2× 66 2.5k
Yuxin Zhang China 19 1.4k 1.2× 463 1.0× 194 0.6× 140 0.5× 161 0.7× 49 1.8k
Youjin Lee United States 22 821 0.7× 232 0.5× 117 0.4× 175 0.7× 137 0.6× 40 1.7k
Stacey Hansen United States 21 1.3k 1.2× 822 1.9× 155 0.5× 491 1.9× 481 2.0× 38 2.6k
Mariano S. Viapiano United States 31 996 0.9× 404 0.9× 379 1.2× 244 0.9× 75 0.3× 73 2.4k
Yeon Kyung Lee South Korea 18 803 0.7× 375 0.8× 102 0.3× 277 1.1× 203 0.9× 47 1.5k
Dongqing Wang China 23 1.4k 1.3× 493 1.1× 531 1.7× 243 0.9× 170 0.7× 45 2.5k

Countries citing papers authored by Ester J. Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Ester J. Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ester J. Kwon. 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 Ester J. Kwon. The network helps show where Ester J. Kwon may publish in the future.

Co-authorship network of co-authors of Ester J. Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Ester J. Kwon. A scholar is included among the top collaborators of Ester J. Kwon 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 Ester J. Kwon. Ester J. Kwon 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.
Han, Sang Woo, et al.. (2025). Formulation methods for peptide-modified lipid nanoparticles. Journal of Controlled Release. 385. 114030–114030. 2 indexed citations
2.
Han, Sang Woo, et al.. (2024). PEGylated Multimeric RNA Nanoparticles for siRNA Delivery in Traumatic Brain Injury. Small. 21(10). e2405806–e2405806. 4 indexed citations
3.
Engler, Adam J., et al.. (2024). Mechanobiological Modulation of In Vitro Astrocyte Reactivity Using Variable Gel Stiffness. ACS Biomaterials Science & Engineering. 10(7). 4279–4296. 4 indexed citations
4.
Schmok, Jonathan C., Danielle Schafer, Hsuan-Lin Her, et al.. (2024). Large-scale evaluation of the ability of RNA-binding proteins to activate exon inclusion. Nature Biotechnology. 42(9). 1429–1441. 13 indexed citations
5.
Tong, Michael Z., Nathan Palmer, Aditya Kumar, et al.. (2024). Robust genome and cell engineering via in vitro and in situ circularized RNAs. Nature Biomedical Engineering. 9(1). 109–126. 15 indexed citations
6.
Kwon, Ester J., et al.. (2024). Reprograming Clots for In Vivo Chemical Targeting in Traumatic Brain Injury. Advanced Materials. 36(31). e2301738–e2301738. 7 indexed citations
7.
Kwon, Ester J., et al.. (2024). Spatial Measurement and Inhibition of Calpain Activity in Traumatic Brain Injury with an Activity-Based Nanotheranostic Platform. ACS Nano. 18(37). 25565–25576. 3 indexed citations
8.
Kwon, Ester J., et al.. (2023). Analysis of PEG-lipid anchor length on lipid nanoparticle pharmacokinetics and activity in a mouse model of traumatic brain injury. Biomaterials Science. 11(12). 4238–4253. 44 indexed citations
9.
Christman, Karen L., et al.. (2023). Infusible Extracellular Matrix Biomaterial Promotes Vascular Integrity and Modulates the Inflammatory Response in Acute Traumatic Brain Injury. Advanced Healthcare Materials. 12(25). e2300782–e2300782. 10 indexed citations
10.
Kwon, Ester J., et al.. (2023). An Activity‐Based Nanosensor for Minimally‐Invasive Measurement of Protease Activity in Traumatic Brain Injury. Advanced Functional Materials. 33(28). 9 indexed citations
11.
Kwon, Ester J., et al.. (2023). Engineered nanomaterials that exploit blood-brain barrier dysfunction for delivery to the brain. Advanced Drug Delivery Reviews. 197. 114820–114820. 57 indexed citations
13.
Lo, Justin H., Liangliang Hao, Mandar D. Muzumdar, et al.. (2018). iRGD-guided Tumor-penetrating Nanocomplexes for Therapeutic siRNA Delivery to Pancreatic Cancer. Molecular Cancer Therapeutics. 17(11). 2377–2388. 65 indexed citations
14.
Mann, Aman P., Pablo Scodeller, Sazid Hussain, et al.. (2016). A peptide for targeted, systemic delivery of imaging and therapeutic compounds into acute brain injuries. Nature Communications. 7(1). 11980–11980. 144 indexed citations
15.
Siegert, Sandra, Jinsoo Seo, Ester J. Kwon, et al.. (2015). The schizophrenia risk gene product miR-137 alters presynaptic plasticity. Nature Neuroscience. 18(7). 1008–1016. 176 indexed citations
16.
Lin, Kevin, Ester J. Kwon, Justin H. Lo, & Sangeeta N. Bhatia. (2014). Drug-induced amplification of nanoparticle targeting to tumors. Nano Today. 9(5). 550–559. 25 indexed citations
17.
Wang, Wenyuan, Ester J. Kwon, & Li‐Huei Tsai. (2012). MicroRNAs in learning, memory, and neurological diseases: Figure 1.. Learning & Memory. 19(9). 359–368. 167 indexed citations
18.
Kwon, Ester J., et al.. (2009). Targeted nonviral delivery vehicles to neural progenitor cells in the mouse subventricular zone. Biomaterials. 31(8). 2417–2424. 65 indexed citations
19.
Kwon, Ester J., Jamie M. Bergen, In‐Kyu Park, & Suzie H. Pun. (2008). Peptide-modified vectors for nucleic acid delivery to neurons. Journal of Controlled Release. 132(3). 230–235. 29 indexed citations
20.
Cellitti, Jason, Manuel Llinás, Nathaniel Echols, et al.. (2007). Exploring subdomain cooperativity in T4 lysozyme I: Structural and energetic studies of a circular permutant and protein fragment. Protein Science. 16(5). 842–851. 31 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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