Young Kuk Jhon

936 total citations
22 papers, 764 citations indexed

About

Young Kuk Jhon is a scholar working on Organic Chemistry, Materials Chemistry and Pharmaceutical Science. According to data from OpenAlex, Young Kuk Jhon has authored 22 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Organic Chemistry, 7 papers in Materials Chemistry and 5 papers in Pharmaceutical Science. Recurrent topics in Young Kuk Jhon's work include Advanced Polymer Synthesis and Characterization (7 papers), biodegradable polymer synthesis and properties (5 papers) and Advanced Drug Delivery Systems (5 papers). Young Kuk Jhon is often cited by papers focused on Advanced Polymer Synthesis and Characterization (7 papers), biodegradable polymer synthesis and properties (5 papers) and Advanced Drug Delivery Systems (5 papers). Young Kuk Jhon collaborates with scholars based in United States, United Kingdom and South Korea. Young Kuk Jhon's co-authors include Jan Genzer, Jung Hyun Kim, In Woo Cheong, Kinam Park, Sarah Skidmore, Haesun Park, Bin Qin, Yan Wang, Farrokh Sharifi and Andrew Otte and has published in prestigious journals such as Advanced Materials, Macromolecules and Langmuir.

In The Last Decade

Young Kuk Jhon

20 papers receiving 741 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Young Kuk Jhon United States 15 207 166 158 152 150 22 764
Daniel J. Phillips United Kingdom 21 408 2.0× 289 1.7× 132 0.8× 123 0.8× 231 1.5× 40 1.1k
Shigehiro Takahashi Japan 20 160 0.8× 192 1.2× 299 1.9× 308 2.0× 198 1.3× 60 1.6k
K.L. Smith United States 11 98 0.5× 99 0.6× 130 0.8× 69 0.5× 168 1.1× 15 864
Zhiwei Sun China 21 354 1.7× 110 0.7× 118 0.7× 142 0.9× 616 4.1× 42 1.2k
Károly Süvegh Hungary 15 139 0.7× 170 1.0× 164 1.0× 38 0.3× 241 1.6× 93 881
Trevor Riley United Kingdom 6 248 1.2× 393 2.4× 87 0.6× 91 0.6× 98 0.7× 8 711
Philip L. Gould United Kingdom 7 159 0.8× 286 1.7× 77 0.5× 23 0.2× 202 1.3× 10 755
Marina Temchenko United States 12 338 1.6× 286 1.7× 84 0.5× 116 0.8× 79 0.5× 14 796
Bruce A. Firestone United States 10 362 1.7× 178 1.1× 133 0.8× 108 0.7× 71 0.5× 12 1.1k
Masaru Ikeda Japan 14 70 0.3× 208 1.3× 53 0.3× 16 0.1× 120 0.8× 27 719

Countries citing papers authored by Young Kuk Jhon

Since Specialization
Citations

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

Fields of papers citing papers by Young Kuk Jhon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young Kuk Jhon. 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 Young Kuk Jhon. The network helps show where Young Kuk Jhon may publish in the future.

Co-authorship network of co-authors of Young Kuk Jhon

This figure shows the co-authorship network connecting the top 25 collaborators of Young Kuk Jhon. A scholar is included among the top collaborators of Young Kuk Jhon 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 Young Kuk Jhon. Young Kuk Jhon 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.
Jhon, Young Kuk, Yan Wang, Bin Qin, et al.. (2025). Characterization of the Repeat Unit Sequence of Poly(lactide-co-glycolide). Macromolecules. 58(8). 3886–3897.
2.
Jhon, Young Kuk, Yan Wang, Bin Qin, et al.. (2024). Analysis of Copolymerization with Simultaneous Reversibility and Transesterification by Stochastic Model Regression. Macromolecules. 57(9). 4034–4044. 6 indexed citations
3.
Garner, John, Sarah Skidmore, Justin Hadar, et al.. (2024). A New Analytical Method for Quantifying Acid-End-Cap PLGA in Sub-Milligram Quantities. Molecular Pharmaceutics. 22(1). 446–458. 1 indexed citations
4.
Jhon, Young Kuk, Yan Wang, Xiaoming Xu, et al.. (2022). Stochastic and Deterministic Analysis of Reactivity Ratios in the Partially Reversible Copolymerization of Lactide and Glycolide. Macromolecules. 55(16). 7171–7180. 14 indexed citations
5.
Garner, John, Sarah Skidmore, Justin Hadar, et al.. (2022). Scanning Analysis of Sequential Semisolvent Vapor Impact To Study Naltrexone Release from Poly(lactide-co-glycolide) Microparticles. Molecular Pharmaceutics. 19(11). 4286–4298. 5 indexed citations
6.
Garner, John, Sarah Skidmore, Justin Hadar, et al.. (2021). Analysis of semi-solvent effects for PLGA polymers. International Journal of Pharmaceutics. 602. 120627–120627. 17 indexed citations
7.
Park, Kinam, Andrew Otte, Farrokh Sharifi, et al.. (2020). Formulation composition, manufacturing process, and characterization of poly(lactide-co-glycolide) microparticles. Journal of Controlled Release. 329. 1150–1161. 81 indexed citations
8.
9.
10.
Jhon, Young Kuk, et al.. (2011). Formation of Polyampholyte Brushes via Controlled Radical Polymerization and Their Assembly in Solution. Langmuir. 28(1). 872–882. 36 indexed citations
11.
Jhon, Young Kuk, et al.. (2011). Cloud point suppression in dilute solutions of model gradient copolymers with prespecified composition profiles. Journal of Polymer Science Part B Polymer Physics. 49(9). 629–637. 24 indexed citations
12.
Cho, Younghyun, Woo Lee, Young Kuk Jhon, Jan Genzer, & Kookheon Char. (2010). Polymer Nanotubules Obtained by Layer‐by‐Layer Deposition within AAO‐Membrane Templates with Sub‐100‐nm Pore Diameters. Small. 6(23). 2683–2689. 33 indexed citations
13.
Tonelli, Alan E., Young Kuk Jhon, & Jan Genzer. (2010). Glass Transition Temperatures of Styrene/4-BrStyrene Copolymers with Variable Co-Monomer Compositions and Sequence Distributions. Macromolecules. 43(16). 6912–6914. 12 indexed citations
14.
Jhon, Young Kuk, Jan Genzer, Martin S. Beevers, et al.. (2009). Effect of Comonomer Sequence Distribution on the Adsorption of Random Copolymers onto Impenetrable Flat Surfaces. Macromolecules. 42(7). 2843–2853. 32 indexed citations
15.
Han, Junwon, et al.. (2009). Discriminating Among Co‐monomer Sequence Distributions in Random Copolymers Using Interaction Chromatography. Macromolecular Rapid Communications. 30(18). 1543–1548. 16 indexed citations
16.
Jhon, Young Kuk. (2008). Formation and thermodynamics of heteropolymers with adjustable monomer sequence distribution. NCSU Libraries Repository (North Carolina State University Libraries). 1 indexed citations
17.
Jhon, Young Kuk, et al.. (2008). Effect of Solvent Quality and Chain Confinement on the Kinetics of Polystyrene Bromination. Macromolecules. 41(18). 6719–6727. 20 indexed citations
18.
Jhon, Young Kuk, et al.. (2007). Facile Method of Controlling Monomer Sequence Distributions in Random Copolymers. Advanced Materials. 19(19). 2877–2883. 41 indexed citations
19.
Jhon, Young Kuk, et al.. (2002). Effect of process variables on molecular weight and mechanical properties of water-based polyurethane dispersion. Colloids and Surfaces A Physicochemical and Engineering Aspects. 196(2-3). 135–143. 125 indexed citations
20.
Day, Nancy L., Usha Sambamoorthi, Paul Taylor, et al.. (1991). Prenatal marijuana use and neonatal outcome. Neurotoxicology and Teratology. 13(3). 329–334. 114 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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