So‐Youn Min

73 total papers · 3.0k total citations
50 papers, 2.4k citations indexed

About

So‐Youn Min is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, So‐Youn Min has authored 50 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 15 papers in Oncology and 13 papers in Molecular Biology. Recurrent topics in So‐Youn Min's work include Cell Adhesion Molecules Research (11 papers), T-cell and B-cell Immunology (11 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). So‐Youn Min is often cited by papers focused on Cell Adhesion Molecules Research (11 papers), T-cell and B-cell Immunology (11 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). So‐Youn Min collaborates with scholars based in South Korea, United States and Japan. So‐Youn Min's co-authors include Mi‐La Cho, Ho‐Youn Kim, Sung‐Hwan Park, Young Gyu Cho, Ho‐Youn Kim, Wan‐Uk Kim, Chong‐Hyeon Yoon, Hyun Jung Kim, Chul-Soo Cho and Woojung Shin and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

So‐Youn Min

49 papers receiving 2.4k citations

Author Peers

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

Author Last Decade Papers Cites
So‐Youn Min 1.1k 705 566 491 216 50 2.4k
Christian A. Seemayer 964 0.9× 769 1.1× 803 1.4× 422 0.9× 143 0.7× 52 2.6k
Hans P. Kiener 702 0.7× 675 1.0× 800 1.4× 334 0.7× 108 0.5× 51 2.2k
Luca Cattini 673 0.6× 643 0.9× 820 1.4× 585 1.2× 170 0.8× 76 2.6k
Alison M. Badger 677 0.6× 1.1k 1.5× 702 1.2× 527 1.1× 119 0.6× 64 2.8k
Takami Matsuyama 1.3k 1.3× 527 0.7× 300 0.5× 431 0.9× 114 0.5× 51 2.2k
Yi Zhao 1.7k 1.6× 1.0k 1.5× 548 1.0× 217 0.4× 169 0.8× 104 3.1k
Alison M. Bendele 854 0.8× 909 1.3× 1.0k 1.8× 410 0.8× 80 0.4× 63 2.9k
Amaya Puig‐Kröger 2.2k 2.1× 1.2k 1.7× 357 0.6× 572 1.2× 89 0.4× 63 3.7k
Anca Sindrilaru 1.1k 1.0× 676 1.0× 204 0.4× 200 0.4× 131 0.6× 50 3.0k
Marilyn C. Pike 885 0.8× 1.1k 1.6× 583 1.0× 514 1.0× 96 0.4× 36 2.8k

Countries citing papers authored by So‐Youn Min

Since Specialization
Citations

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

Fields of papers citing papers by So‐Youn Min

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of So‐Youn Min

This figure shows the co-authorship network connecting the top 25 collaborators of So‐Youn Min. A scholar is included among the top collaborators of So‐Youn 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 So‐Youn Min. So‐Youn 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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2026