Glen S. Kwon

193 total papers · 15.5k total citations
152 papers, 12.6k citations indexed

About

Glen S. Kwon is a scholar working on Biomaterials, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Glen S. Kwon has authored 152 papers receiving a total of 12.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Biomaterials, 58 papers in Molecular Biology and 42 papers in Organic Chemistry. Recurrent topics in Glen S. Kwon's work include Nanoparticle-Based Drug Delivery (64 papers), Advanced Polymer Synthesis and Characterization (27 papers) and RNA Interference and Gene Delivery (24 papers). Glen S. Kwon is often cited by papers focused on Nanoparticle-Based Drug Delivery (64 papers), Advanced Polymer Synthesis and Characterization (27 papers) and RNA Interference and Gene Delivery (24 papers). Glen S. Kwon collaborates with scholars based in United States, Canada and Japan. Glen S. Kwon's co-authors include Kazunori Kataoka, Teruo Okano, Afsaneh Lavasanifar, John Samuel, Monica Adams, M. Yokoyama, Hyunah Cho, M. Laird Forrest, Tsz Chung Lai and Yasuhisa Sakurai and has published in prestigious journals such as Journal of the American Chemical Society, ACS Nano and PLoS ONE.

In The Last Decade

Glen S. Kwon

150 papers receiving 12.3k citations

Hit Papers

Amphiphilic block copolym... 1995 2026 2005 2015 2003 1995 2002 1996 2000 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Glen S. Kwon 6.9k 4.1k 3.9k 2.9k 2.1k 152 12.6k
Seo Young Jeong 6.4k 0.9× 2.2k 0.5× 4.8k 1.2× 4.3k 1.5× 2.1k 1.0× 195 13.3k
Christine Allen 6.2k 0.9× 2.4k 0.6× 3.3k 0.9× 4.3k 1.5× 1.3k 0.6× 214 12.5k
Afsaneh Lavasanifar 4.6k 0.7× 2.3k 0.6× 4.3k 1.1× 2.1k 0.7× 1.4k 0.6× 189 10.2k
Elena V. Batrakova 5.1k 0.7× 2.6k 0.6× 8.4k 2.2× 3.0k 1.0× 1.9k 0.9× 107 15.7k
Lichen Yin 4.5k 0.7× 1.9k 0.5× 5.3k 1.4× 3.5k 1.2× 1.4k 0.7× 193 11.5k
Cornelus F. van Nostrum 7.3k 1.1× 3.9k 1.0× 3.5k 0.9× 4.8k 1.7× 1.9k 0.9× 219 15.6k
Si‐Xue Cheng 5.7k 0.8× 2.9k 0.7× 4.3k 1.1× 5.3k 1.8× 931 0.4× 271 13.3k
Tamara Minko 6.0k 0.9× 1.7k 0.4× 6.4k 1.6× 3.7k 1.3× 1.3k 0.6× 140 13.5k
J. Milton Harris 3.3k 0.5× 3.4k 0.8× 4.2k 1.1× 2.6k 0.9× 747 0.4× 122 12.4k
Tatiana K. Bronich 3.6k 0.5× 3.0k 0.7× 2.6k 0.7× 1.7k 0.6× 807 0.4× 125 8.7k

Countries citing papers authored by Glen S. Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Glen S. Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Glen S. Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Glen S. Kwon. A scholar is included among the top collaborators of Glen S. 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 Glen S. Kwon. Glen S. Kwon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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