Seul Gi Lee

47 total papers · 859 total citations
32 papers, 612 citations indexed

About

Seul Gi Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Seul Gi Lee has authored 32 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 9 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Seul Gi Lee's work include Thyroid Cancer Diagnosis and Treatment (12 papers), Thyroid and Parathyroid Surgery (9 papers) and Metal-Organic Frameworks: Synthesis and Applications (2 papers). Seul Gi Lee is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (12 papers), Thyroid and Parathyroid Surgery (9 papers) and Metal-Organic Frameworks: Synthesis and Applications (2 papers). Seul Gi Lee collaborates with scholars based in South Korea, United States and Germany. Seul Gi Lee's co-authors include Jandee Lee, Woong Youn Chung, Sang‐Wook Kang, Cho Rok Lee, Jong Ju Jeong, Kee‐Hyun Nam, Jung Bum Choi, Young Suk Jo, Yunhee Shin and Min Jhi Kim and has published in prestigious journals such as Gastroenterology, Oncogene and Scientific Reports.

In The Last Decade

Seul Gi Lee

31 papers receiving 597 citations

Author Peers

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

Author						Papers	Cites
Seul Gi Lee	269	256	134	108	97	32	612
Przemysław Majewski	92 0.3×	198 0.8×	114 0.9×	68 0.6×	125 1.3×	51	630
Hosu Kim	299 1.1×	157 0.6×	51 0.4×	82 0.8×	30 0.3×	41	549
Ki Wook Chung	370 1.4×	326 1.3×	52 0.4×	40 0.4×	35 0.4×	27	633
Eun Kyung Jang	445 1.7×	188 0.7×	70 0.5×	43 0.4×	38 0.4×	33	669
Michela Massa	393 1.5×	318 1.2×	78 0.6×	63 0.6×	14 0.1×	22	645
Yuh‐Seog Jung	218 0.8×	221 0.9×	66 0.5×	42 0.4×	44 0.5×	46	682
Roberto Pagni	105 0.4×	179 0.7×	166 1.2×	199 1.8×	53 0.5×	23	583
Malcolm Padwick	208 0.8×	62 0.2×	189 1.4×	46 0.4×	33 0.3×	28	676
Stefan Ludwig	139 0.5×	447 1.7×	147 1.1×	39 0.4×	47 0.5×	36	640
Donald L. Gordon	275 1.0×	233 0.9×	110 0.8×	85 0.8×	11 0.1×	31	639

Countries citing papers authored by Seul Gi Lee

Since Specialization

Citations

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

Fields of papers citing papers by Seul Gi Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seul Gi Lee

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