Min Seuk Kim

64 total papers · 2.1k total citations
49 papers, 1.7k citations indexed

About

Min Seuk Kim is a scholar working on Molecular Biology, Sensory Systems and Oncology. According to data from OpenAlex, Min Seuk Kim has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Sensory Systems and 9 papers in Oncology. Recurrent topics in Min Seuk Kim's work include Ion Channels and Receptors (15 papers), Bone Metabolism and Diseases (12 papers) and Bone health and treatments (7 papers). Min Seuk Kim is often cited by papers focused on Ion Channels and Receptors (15 papers), Bone Metabolism and Diseases (12 papers) and Bone health and treatments (7 papers). Min Seuk Kim collaborates with scholars based in South Korea, United States and Mongolia. Min Seuk Kim's co-authors include Shmuel Muallem, Dong Min Shin, Joseph P. Yuan, Weizhong Zeng, Paul F. Worley, Guo N. Huang, Lutz Birnbaumer, Jeong Hee Hong, Young Jin Choi and Aran Son and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Min Seuk Kim

48 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Min Seuk Kim 906 788 374 204 188 49 1.7k
Brigitte Mauroy 936 1.0× 717 0.9× 321 0.9× 106 0.5× 318 1.7× 53 1.9k
V’yacheslav Lehen’kyi 1.2k 1.3× 1.4k 1.7× 395 1.1× 203 1.0× 160 0.9× 41 2.3k
Fabien Vanden Abeele 1.4k 1.5× 1.1k 1.3× 435 1.2× 177 0.9× 110 0.6× 42 2.3k
Loïc Lemonnier 1.1k 1.2× 1.1k 1.4× 546 1.5× 142 0.7× 86 0.5× 44 1.9k
Dimitra Gkika 1.1k 1.2× 1.3k 1.6× 430 1.1× 132 0.6× 164 0.9× 46 2.2k
Pascal Mariot 1.2k 1.3× 563 0.7× 325 0.9× 74 0.4× 110 0.6× 39 1.8k
Wen Xu 1.1k 1.2× 1.3k 1.6× 549 1.5× 319 1.6× 79 0.4× 30 2.3k
Christof Zitt 1.0k 1.1× 1.3k 1.7× 592 1.6× 140 0.7× 89 0.5× 31 2.1k
Salvatore Mancarella 904 1.0× 759 1.0× 480 1.3× 240 1.2× 128 0.7× 40 1.8k
Alejandro Berna‐Erro 663 0.7× 836 1.1× 391 1.0× 248 1.2× 83 0.4× 45 1.6k

Countries citing papers authored by Min Seuk Kim

Since Specialization
Citations

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

Fields of papers citing papers by Min Seuk Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min Seuk Kim. 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 Seuk Kim. The network helps show where Min Seuk Kim may publish in the future.

Co-authorship network of co-authors of Min Seuk Kim

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