Chan Seo

715 total citations · 1 hit paper
31 papers, 409 citations indexed

About

Chan Seo is a scholar working on Molecular Biology, Physiology and Clinical Biochemistry. According to data from OpenAlex, Chan Seo has authored 31 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Physiology and 4 papers in Clinical Biochemistry. Recurrent topics in Chan Seo's work include Metabolomics and Mass Spectrometry Studies (10 papers), Analytical Chemistry and Chromatography (3 papers) and Metabolism and Genetic Disorders (3 papers). Chan Seo is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (10 papers), Analytical Chemistry and Chromatography (3 papers) and Metabolism and Genetic Disorders (3 papers). Chan Seo collaborates with scholars based in South Korea, United States and Australia. Chan Seo's co-authors include Man‐Jeong Paik, Moongi Ji, Gwang Lee, Young‐Bae Kim, Hyeon‐Seong Lee, Tae Hwan Shin, Sung‐Tae Yee, Seung‐Woon Myung, Jaisoo Kim and Tuan Manh Nguyen and has published in prestigious journals such as Applied and Environmental Microbiology, Scientific Reports and Cells.

In The Last Decade

Chan Seo

29 papers receiving 402 citations

Hit Papers

The Influence of Solvent Choice on the Extraction of Bioa... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chan Seo South Korea 12 177 78 49 48 40 31 409
Zihong Zhang China 13 131 0.7× 39 0.5× 24 0.5× 17 0.4× 29 0.7× 33 358
Yi Xiao China 16 317 1.8× 66 0.8× 41 0.8× 19 0.4× 32 0.8× 59 758
Hua Zheng China 12 234 1.3× 31 0.4× 48 1.0× 22 0.5× 20 0.5× 28 570
Assunta Saide Italy 9 220 1.2× 43 0.6× 26 0.5× 28 0.6× 35 0.9× 11 431
Fumio Watanabe Japan 13 250 1.4× 66 0.8× 48 1.0× 28 0.6× 9 0.2× 33 705
Moongi Ji South Korea 11 182 1.0× 70 0.9× 38 0.8× 37 0.8× 8 0.2× 34 386
Qinli Ruan China 13 170 1.0× 41 0.5× 84 1.7× 23 0.5× 14 0.3× 28 507
Sylvie Bortoli France 14 556 3.1× 173 2.2× 43 0.9× 31 0.6× 59 1.5× 33 918
Adriano B. Chaves‐Filho Brazil 16 333 1.9× 165 2.1× 52 1.1× 31 0.6× 13 0.3× 46 749

Countries citing papers authored by Chan Seo

Since Specialization
Citations

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

Fields of papers citing papers by Chan Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan Seo. 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 Chan Seo. The network helps show where Chan Seo may publish in the future.

Co-authorship network of co-authors of Chan Seo

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

All Works

20 of 20 papers shown
1.
Lee, Jieun, Jae‐Il Kim, Jin-Woo Jeong, et al.. (2024). The Influence of Solvent Choice on the Extraction of Bioactive Compounds from Asteraceae: A Comparative Review. Foods. 13(19). 3151–3151. 54 indexed citations breakdown →
2.
Seong, Su Hui, Boram Kim, Jin-Ho Kim, et al.. (2024). Phytochemical profiles and protein glycation inhibitory activities of three oak species. Arabian Journal of Chemistry. 18(1). 106039–106039.
3.
Kim, Jinho, Hwa Lee, Su Hui Seong, et al.. (2024). In vitro callus induction and growth for medicinal use of an endangered Korean native plant, Glochidion chodoense C. S. Lee & H. T. Im. Rhizosphere. 29. 100863–100863. 1 indexed citations
4.
Choi, Joo-Hee, Tae‐Su Kim, Su Hui Seong, et al.. (2023). Effect of modification methods on the physical properties and immunomodulatory activity of particulate β-glucan. Food Science and Biotechnology. 33(7). 1615–1621.
5.
Kim, Young‐Bae, Chan Seo, Hyeon‐Seong Lee, et al.. (2021). Method development of phenolic acid profiling analysis as tert‐butyldimethylsilyl derivative by gas chromatography‐tandem mass spectrometry. Bulletin of the Korean Chemical Society. 43(1). 88–92. 2 indexed citations
6.
Seo, Chan, Sehoon Park, Young‐Bae Kim, et al.. (2021). Metabolomic analysis of amino acids and organic acids in aging mouse eyes using gas chromatography–tandem mass spectrometry. Biomedical Chromatography. 36(3). e5298–e5298. 4 indexed citations
7.
Seo, Chan, et al.. (2020). Ketogenic diet as a potential intervention for lipedema. Medical Hypotheses. 146. 110435–110435. 47 indexed citations
8.
Kim, Hye Sun, Man‐Jeong Paik, Chan Seo, et al.. (2020). Influences of exposure to 915-MHz radiofrequency identification signals on serotonin metabolites in rats: a pilot study. International Journal of Radiation Biology. 97(2). 282–287. 2 indexed citations
9.
Shin, Tae Hwan, Chan Seo, Da Yeon Lee, et al.. (2019). Silica-coated magnetic nanoparticles induce glucose metabolic dysfunction in vitro via the generation of reactive oxygen species. Archives of Toxicology. 93(5). 1201–1212. 32 indexed citations
10.
Lee, Hyeon‐Seong, Chan Seo, Yunho Hwang, et al.. (2019). Metabolomic approaches to polyamines including acetylated derivatives in lung tissue of mice with asthma. Metabolomics. 15(1). 8–8. 10 indexed citations
11.
Lee, Hyeon‐Seong, Chan Seo, Young‐A Kim, et al.. (2019). Metabolomic study of polyamines in rat urine following intraperitoneal injection of γ-hydroxybutyric acid. Metabolomics. 15(4). 58–58. 14 indexed citations
12.
Seo, Chan, Sung‐Hwan Kim, Hyeon‐Seong Lee, et al.. (2019). Metabolomic study on bleomycin and polyhexamethylene guanidine phosphate-induced pulmonary fibrosis mice models. Metabolomics. 15(8). 111–111. 24 indexed citations
13.
Lee, Hyeon‐Seong, Young‐Bae Kim, Chan Seo, et al.. (2019). Characterization of Ripening Bananas by Monitoring the Amino Acid Composition by Gas Chromatography–Mass Spectrometry With Selected Ion Monitoring and Star Pattern Analysis. Analytical Letters. 52(16). 2496–2505. 8 indexed citations
14.
15.
Seo, Chan, Dong‐Hyun Kim, Young‐Bae Kim, et al.. (2018). Monitoring of Organic Acids in Ginseng Roots Produced by Conventional and Environmentally Friendly Farming by Gas Chromatography–Mass Spectrometry. Bulletin of the Korean Chemical Society. 39(12). 1449–1454. 2 indexed citations
16.
Shin, Tae Hwan, Seungah Lee, Da Yeon Lee, et al.. (2017). Quality and freshness of human bone marrow-derived mesenchymal stem cells decrease over time after trypsinization and storage in phosphate-buffered saline. Scientific Reports. 7(1). 1106–1106. 23 indexed citations
17.
Seo, Chan, Yunho Hwang, Hyeon‐Seong Lee, et al.. (2017). Metabolomic study for monitoring of biomarkers in mouse plasma with asthma by gas chromatography–mass spectrometry. Journal of Chromatography B. 1063. 156–162. 20 indexed citations
18.
19.
Seo, Chan, Yunho Hwang, Young‐Bae Kim, et al.. (2016). Metabolomic study of aging in mouse plasma by gas chromatography–mass spectrometry. Journal of Chromatography B. 1025. 1–6. 32 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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