Won‐Gil Lee

31 total papers · 881 total citations
23 papers, 756 citations indexed

About

Won‐Gil Lee is a scholar working on Electronic, Optical and Magnetic Materials, Infectious Diseases and Polymers and Plastics. According to data from OpenAlex, Won‐Gil Lee has authored 23 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electronic, Optical and Magnetic Materials, 7 papers in Infectious Diseases and 7 papers in Polymers and Plastics. Recurrent topics in Won‐Gil Lee's work include Supercapacitor Materials and Fabrication (10 papers), Conducting polymers and applications (6 papers) and HIV/AIDS drug development and treatment (6 papers). Won‐Gil Lee is often cited by papers focused on Supercapacitor Materials and Fabrication (10 papers), Conducting polymers and applications (6 papers) and HIV/AIDS drug development and treatment (6 papers). Won‐Gil Lee collaborates with scholars based in South Korea, United States and Australia. Won‐Gil Lee's co-authors include C. Justin Raj, Byung Chul Kim, Won-Je Cho, Kook Hyun Yu, William L. Jorgensen, Karen S. Anderson, Krasimir A. Spasov, Sang-Don Jung, Yong Hee Kim and Ramu Manikandan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, ACS Applied Materials & Interfaces and Journal of Materials Chemistry A.

In The Last Decade

Won‐Gil Lee

23 papers receiving 746 citations

Author Peers

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

Author						Papers	Cites
Won‐Gil Lee	468	379	179	145	125	23	756
Jianing Meng	273 0.6×	382 1.0×	71 0.4×	116 0.8×	121 1.0×	19	851
Chunxiao Xu	138 0.3×	288 0.8×	52 0.3×	316 2.2×	55 0.4×	32	831
Tsutomu Iwaki	183 0.4×	357 0.9×	43 0.2×	421 2.9×	35 0.3×	38	865
Haibo Sun	108 0.2×	102 0.3×	65 0.4×	134 0.9×	140 1.1×	29	784
Shiva Kumar Arumugasamy	45 0.1×	277 0.7×	108 0.6×	288 2.0×	139 1.1×	25	644
Robert Tshikhudo	150 0.3×	235 0.6×	92 0.5×	218 1.5×	133 1.1×	23	631
Shufang Yu	70 0.1×	279 0.7×	71 0.4×	287 2.0×	406 3.2×	24	906
Hiroki Ida	37 0.1×	251 0.7×	49 0.3×	145 1.0×	101 0.8×	30	819
Jingzhi Chen	57 0.1×	118 0.3×	131 0.7×	162 1.1×	56 0.4×	34	785
Yusheng Yang	491 1.0×	468 1.2×	207 1.2×	201 1.4×	135 1.1×	19	867

Countries citing papers authored by Won‐Gil Lee

Since Specialization

Citations

This map shows the geographic impact of Won‐Gil 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‐Gil 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‐Gil Lee more than expected).

Fields of papers citing papers by Won‐Gil Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Won‐Gil Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Won‐Gil Lee. A scholar is included among the top collaborators of Won‐Gil 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‐Gil Lee. Won‐Gil 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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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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