Min‐Seok Kwon

53 total papers · 3.3k total citations
24 papers, 860 citations indexed

About

Min‐Seok Kwon is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Min‐Seok Kwon has authored 24 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Genetics and 4 papers in Spectroscopy. Recurrent topics in Min‐Seok Kwon's work include Bioinformatics and Genomic Networks (11 papers), Genetic Associations and Epidemiology (9 papers) and Gene expression and cancer classification (8 papers). Min‐Seok Kwon is often cited by papers focused on Bioinformatics and Genomic Networks (11 papers), Genetic Associations and Epidemiology (9 papers) and Gene expression and cancer classification (8 papers). Min‐Seok Kwon collaborates with scholars based in South Korea, United States and Sri Lanka. Min‐Seok Kwon's co-authors include Taesung Park, Peter J. Park, Eminy H.Y. Lee, Craig L. Bohrson, Christopher A. Walsh, Michael A. Lodato, Rachel E. Rodin, Alison R. Barton, Maxwell A. Sherman and Michael E. Coulter and has published in prestigious journals such as Science, Nature Genetics and Bioinformatics.

In The Last Decade

Min‐Seok Kwon

23 papers receiving 847 citations

Hit Papers

Aging and neurodegenerati... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Min‐Seok Kwon 616 239 210 98 53 24 860
Amelia Weber Hall 596 1.0× 93 0.4× 77 0.4× 22 0.2× 63 1.2× 25 983
Slobodan Poznanović 629 1.0× 65 0.3× 89 0.4× 281 2.9× 85 1.6× 24 907
Emanuel Gonçalves 748 1.2× 84 0.4× 177 0.8× 56 0.6× 20 0.4× 32 984
Nurhan Özlü 775 1.3× 79 0.3× 72 0.3× 75 0.8× 44 0.8× 37 995
Pamela Milani 645 1.0× 44 0.2× 111 0.5× 29 0.3× 64 1.2× 22 929
Zheng Huang 522 0.8× 53 0.2× 324 1.5× 129 1.3× 42 0.8× 28 1.1k
Sidney H. Wang 712 1.2× 144 0.6× 74 0.4× 32 0.3× 55 1.0× 15 863
Nur Yucer 590 1.0× 115 0.5× 75 0.4× 66 0.7× 44 0.8× 11 863
Ingemar Rundquist 498 0.8× 49 0.2× 69 0.3× 38 0.4× 146 2.8× 37 920
Vishwajeeth Pagala 761 1.2× 67 0.3× 62 0.3× 144 1.5× 129 2.4× 32 1.0k

Countries citing papers authored by Min‐Seok Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Seok Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min‐Seok Kwon. 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 Min‐Seok Kwon. The network helps show where Min‐Seok Kwon may publish in the future.

Co-authorship network of co-authors of Min‐Seok Kwon

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