Won Jun Lee

980 total citations
9 papers, 867 citations indexed

About

Won Jun Lee is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials and Molecular Biology. According to data from OpenAlex, Won Jun Lee has authored 9 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Materials Chemistry, 5 papers in Electronic, Optical and Magnetic Materials and 4 papers in Molecular Biology. Recurrent topics in Won Jun Lee's work include Supercapacitor Materials and Fabrication (5 papers), Graphene research and applications (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Won Jun Lee is often cited by papers focused on Supercapacitor Materials and Fabrication (5 papers), Graphene research and applications (5 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Won Jun Lee collaborates with scholars based in South Korea and United States. Won Jun Lee's co-authors include Sang Ouk Kim, Sun Hwa Lee, Jin Ok Hwang, Rodney S. Ruoff, Christopher W. Bielawski, Joon Kwon, Hyun Kim, Tae Hee Han, Duck Hyun Lee and Ji Eun Kim and has published in prestigious journals such as Advanced Materials, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Won Jun Lee

9 papers receiving 863 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Won Jun Lee South Korea	7	503	377	360	316	125	9	867
Cosmin Leordean Romania	15	478 1.0×	368 1.0×	277 0.8×	463 1.5×	151 1.2×	17	996
Rekha Narayan South Korea	13	618 1.2×	430 1.1×	304 0.8×	273 0.9×	119 1.0×	20	1.0k
Sonal Padalkar United States	15	336 0.7×	213 0.6×	182 0.5×	246 0.8×	73 0.6×	39	754
Ian J. Echols United States	13	598 1.2×	348 0.9×	174 0.5×	315 1.0×	71 0.6×	15	851
Michael L. Jespersen United States	16	1.0k 2.0×	612 1.6×	190 0.5×	298 0.9×	174 1.4×	24	1.4k
Abdul Mutalib Md Jani Malaysia	12	709 1.4×	289 0.8×	150 0.4×	307 1.0×	52 0.4×	58	930
Heejoun Yoo South Korea	9	575 1.1×	596 1.6×	598 1.7×	375 1.2×	200 1.6×	14	1.1k
Adib Abou Chaaya France	17	616 1.2×	542 1.4×	164 0.5×	323 1.0×	61 0.5×	19	1.0k
Ji Sun Park South Korea	17	639 1.3×	730 1.9×	189 0.5×	275 0.9×	355 2.8×	29	1.2k
Supinda Watcharotone United States	5	918 1.8×	410 1.1×	216 0.6×	511 1.6×	137 1.1×	7	1.1k

Countries citing papers authored by Won Jun Lee

Since Specialization

Citations

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

Fields of papers citing papers by Won Jun Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Jun Lee. 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 Won Jun Lee. The network helps show where Won Jun Lee may publish in the future.

Co-authorship network of co-authors of Won Jun Lee

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

All Works

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9 of 9 papers shown

Lee, Won Jun, et al.. (2021). N-Dopant-Mediated Growth of Metal Oxide Nanoparticles on Carbon Nanotubes. Nanomaterials. 11(8). 1882–1882. 2 indexed citations

Lim, Joonwon, Gil Yong Lee, Ho Jin Lee, et al.. (2018). Open porous graphene nanoribbon hydrogel via additive-free interfacial self-assembly: Fast mass transport electrodes for high-performance biosensing and energy storage. Energy storage materials. 16. 251–258. 27 indexed citations

Lim, Joonwon, Uday Narayan Maiti, Nayoung Kim, et al.. (2016). Dopant-specific unzipping of carbon nanotubes for intact crystalline graphene nanostructures. Nature Communications. 7(1). 10364–10364. 113 indexed citations

Maiti, Uday Narayan, Won Jun Lee, Ju Min Lee, et al.. (2014). Carbon: 25th Anniversary Article: Chemically Modified/Doped Carbon Nanotubes & Graphene for Optimized Nanostructures & Nanodevices (Adv. Mater. 1/2014). Advanced Materials. 26(1). 2–2. 9 indexed citations

Yun, Je Moon, Ju Young Kim, Dong Ok Shin, et al.. (2011). DNA Origami Nanopatterning on Chemically Modified Graphene. Angewandte Chemie International Edition. 51(4). 912–915. 59 indexed citations

Yun, Je Moon, Ju Young Kim, Dong Ok Shin, et al.. (2011). DNA Origami Nanopatterning on Chemically Modified Graphene. Angewandte Chemie. 124(4). 936–939. 30 indexed citations

Yun, Je Moon, Ju Young Kim, Dong Ok Shin, et al.. (2011). Rücktitelbild: DNA Origami Nanopatterning on Chemically Modified Graphene (Angew. Chem. 4/2012). Angewandte Chemie. 124(4). 1104–1104. 1 indexed citations

Han, Tae Hee, Won Jun Lee, Duck Hyun Lee, et al.. (2010). Peptide/Graphene Hybrid Assembly into Core/Shell Nanowires. Advanced Materials. 22(18). 2060–2064. 237 indexed citations

Lee, Sun Hwa, Hyun Kim, Jin Ok Hwang, et al.. (2010). Three‐Dimensional Self‐Assembly of Graphene Oxide Platelets into Mechanically Flexible Macroporous Carbon Films. Angewandte Chemie International Edition. 49(52). 10084–10088. 389 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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