Ji-Min Seo

17 total papers · 556 total citations
9 papers, 112 citations indexed

About

Ji-Min Seo is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Ji-Min Seo has authored 9 papers receiving a total of 112 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Pharmacology. Recurrent topics in Ji-Min Seo's work include Machine Learning in Bioinformatics (2 papers), Inflammatory mediators and NSAID effects (1 paper) and Glycosylation and Glycoproteins Research (1 paper). Ji-Min Seo is often cited by papers focused on Machine Learning in Bioinformatics (2 papers), Inflammatory mediators and NSAID effects (1 paper) and Glycosylation and Glycoproteins Research (1 paper). Ji-Min Seo collaborates with scholars based in South Korea, United States and Macao. Ji-Min Seo's co-authors include Irfan A. Rather, Hye-Jin Kim, Yeo‐Pyo Yun, Yong-Ri Jin, Tack‐Joong Kim, Yong-Ha Park, Sung‐Soo Kim, Jae Young Jang, Jeongheui Lim and Chung‐Kyu Ryu and has published in prestigious journals such as Journal of Molecular Biology, Biochemical Pharmacology and European Journal of Pharmacology.

In The Last Decade

Ji-Min Seo

7 papers receiving 107 citations

Author Peers

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

Author Last Decade Papers Cites
Ji-Min Seo 68 27 17 12 9 9 112
Fulei Zhao 119 1.8× 19 0.7× 44 2.6× 8 0.7× 7 0.8× 6 226
Jiadong Yu 123 1.8× 20 0.7× 45 2.6× 8 0.7× 7 0.8× 12 244
Raffaele Cordiano 42 0.6× 20 0.7× 30 1.8× 6 0.5× 13 1.4× 7 221
Dong‐Hwa Choi 89 1.3× 8 0.3× 17 1.0× 10 0.8× 3 0.3× 14 266
Nichola Gellatly 27 0.4× 18 0.7× 71 4.2× 17 1.4× 26 2.9× 14 229
L Li 41 0.6× 24 0.9× 61 3.6× 9 0.8× 2 0.2× 7 237
Heinrich Biltz 22 0.3× 11 0.4× 33 1.9× 6 0.5× 2 0.2× 18 112
Seyyede Masoume Athari 37 0.5× 21 0.8× 10 0.6× 8 0.7× 28 3.1× 10 207
Lingzhi Niu 85 1.3× 6 0.2× 4 0.2× 16 1.3× 4 0.4× 12 251
Joe Reynolds 43 0.6× 15 0.6× 25 1.5× 3 0.3× 3 0.3× 13 179

Countries citing papers authored by Ji-Min Seo

Since Specialization
Citations

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

Fields of papers citing papers by Ji-Min Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji-Min Seo

This figure shows the co-authorship network connecting the top 25 collaborators of Ji-Min Seo. A scholar is included among the top collaborators of Ji-Min 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 Ji-Min Seo. Ji-Min Seo 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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