So Mi Seol

11 total papers · 486 total citations
11 papers, 405 citations indexed

About

So Mi Seol is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, So Mi Seol has authored 11 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Cancer Research. Recurrent topics in So Mi Seol's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Protease and Inhibitor Mechanisms (2 papers) and Cell Adhesion Molecules Research (2 papers). So Mi Seol is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Protease and Inhibitor Mechanisms (2 papers) and Cell Adhesion Molecules Research (2 papers). So Mi Seol collaborates with scholars based in South Korea. So Mi Seol's co-authors include Yoo La Lee, Joong‐Yeol Park, Chang Hee Jung, Woo Je Lee, Min Jung Lee, Jenie Yoonoo Hwang, Yu Mi Kang, Yunmi Kim, Han‐Soo Kim and Joo Han Oh and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Biochemical and Biophysical Research Communications.

In The Last Decade

So Mi Seol

11 papers receiving 400 citations

Author Peers

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

Author						Papers	Cites
So Mi Seol	190	121	111	105	68	11	405
Yoo La Lee	235 1.2×	141 1.2×	115 1.0×	149 1.4×	49 0.7×	14	490
Qiyuan Xu	139 0.7×	117 1.0×	111 1.0×	79 0.8×	38 0.6×	13	415
Shigeki Masuda	230 1.2×	128 1.1×	161 1.5×	157 1.5×	42 0.6×	12	472
Zhu Hui Liu	119 0.6×	139 1.1×	129 1.2×	74 0.7×	54 0.8×	17	455
Hyun-Chae Lee	204 1.1×	77 0.6×	100 0.9×	126 1.2×	39 0.6×	12	432
Feven Tigistu‐Sahle	80 0.4×	72 0.6×	188 1.7×	113 1.1×	59 0.9×	11	400
Taiki Ohashi	196 1.0×	179 1.5×	112 1.0×	164 1.6×	34 0.5×	13	423
Yuan Zhang	108 0.6×	58 0.5×	190 1.7×	193 1.8×	67 1.0×	12	481
Alexandros X. Kortsaris	117 0.6×	141 1.2×	98 0.9×	62 0.6×	38 0.6×	14	386
Youhei Nakashima	110 0.6×	105 0.9×	149 1.3×	120 1.1×	40 0.6×	9	432

Countries citing papers authored by So Mi Seol

Since Specialization

Citations

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

Fields of papers citing papers by So Mi Seol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by So Mi Seol. 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 So Mi Seol. The network helps show where So Mi Seol may publish in the future.

Co-authorship network of co-authors of So Mi Seol

This figure shows the co-authorship network connecting the top 25 collaborators of So Mi Seol. A scholar is included among the top collaborators of So Mi Seol 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 So Mi Seol. So Mi Seol 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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