Byung‐Moo Min

120 total papers · 6.5k total citations
93 papers, 5.1k citations indexed

About

Byung‐Moo Min is a scholar working on Molecular Biology, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Byung‐Moo Min has authored 93 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 27 papers in Biomaterials and 18 papers in Biomedical Engineering. Recurrent topics in Byung‐Moo Min's work include Electrospun Nanofibers in Biomedical Applications (20 papers), Silk-based biomaterials and applications (19 papers) and Bone Tissue Engineering Materials (13 papers). Byung‐Moo Min is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (20 papers), Silk-based biomaterials and applications (19 papers) and Bone Tissue Engineering Materials (13 papers). Byung‐Moo Min collaborates with scholars based in South Korea, United States and Ethiopia. Byung‐Moo Min's co-authors include Won Ho Park, Taek Seung Lee, Gene Lee, Young Sik Nam, Lim Jeong, Kim Ys, Young You, Sung Yun Jung, Seung Jin Lee and Jin‐Man Kim and has published in prestigious journals such as Journal of Biological Chemistry, Neuron and PLoS ONE.

In The Last Decade

Byung‐Moo Min

91 papers receiving 5.0k citations

Hit Papers

Electrospinning of silk f... 2003 2026 2010 2018 2003 2005 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Byung‐Moo Min 3.3k 1.9k 898 835 472 93 5.1k
Matthias Schnabelrauch 1.8k 0.6× 2.7k 1.4× 823 0.9× 1.2k 1.4× 230 0.5× 194 6.1k
K.P. Chennazhi 4.0k 1.2× 2.6k 1.3× 718 0.8× 761 0.9× 451 1.0× 77 6.6k
Qihui Zhou 1.5k 0.4× 2.0k 1.0× 623 0.7× 775 0.9× 339 0.7× 135 4.8k
Xuetao Shi 1.9k 0.6× 3.3k 1.7× 877 1.0× 622 0.7× 400 0.8× 147 5.4k
Prasit Pavasant 2.0k 0.6× 1.9k 1.0× 879 1.0× 1.6k 1.9× 176 0.4× 213 5.9k
Monica Mattioli‐Belmonte 1.8k 0.5× 2.3k 1.2× 1.1k 1.2× 782 0.9× 227 0.5× 190 5.6k
Yilong Cheng 2.1k 0.6× 2.1k 1.1× 471 0.5× 1.1k 1.3× 1.1k 2.4× 112 5.6k
V. Prasad Shastri 1.6k 0.5× 1.9k 1.0× 606 0.7× 789 0.9× 255 0.5× 120 4.6k
Dafu Chen 1.7k 0.5× 2.9k 1.5× 925 1.0× 1.3k 1.6× 313 0.7× 199 6.5k
Valeria Chiono 3.3k 1.0× 3.5k 1.8× 1.1k 1.3× 997 1.2× 455 1.0× 113 6.9k

Countries citing papers authored by Byung‐Moo Min

Since Specialization
Citations

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

Fields of papers citing papers by Byung‐Moo Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byung‐Moo Min

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