Yeong S. Kim

12 total papers · 629 total citations
9 papers, 538 citations indexed

About

Yeong S. Kim is a scholar working on Molecular Biology, Cell Biology and Pharmacology. According to data from OpenAlex, Yeong S. Kim has authored 9 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Pharmacology. Recurrent topics in Yeong S. Kim's work include Proteoglycans and glycosaminoglycans research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Pharmacological Effects of Natural Compounds (2 papers). Yeong S. Kim is often cited by papers focused on Proteoglycans and glycosaminoglycans research (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Pharmacological Effects of Natural Compounds (2 papers). Yeong S. Kim collaborates with scholars based in South Korea, Pakistan and United States. Yeong S. Kim's co-authors include Salman Khan, Hussain Ali, Bushra Shal, Wei Ding, Robert J. Linhardt, Youmie Park, Toshihiko Toida, Sidra Khalid, Murali D. Sharath and Zohar M. Merchant and has published in prestigious journals such as Journal of Biological Chemistry, Frontiers in Pharmacology and The Journal of Biochemistry.

In The Last Decade

Yeong S. Kim

9 papers receiving 533 citations

Author Peers

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

Author Last Decade Papers Cites
Yeong S. Kim 252 142 94 87 66 9 538
Koji Hashida 210 0.8× 147 1.0× 63 0.7× 37 0.4× 16 0.2× 11 545
Salvatore Cuzzocrea 182 0.7× 62 0.4× 152 1.6× 39 0.4× 29 0.4× 9 529
Yimiao Xu 383 1.5× 65 0.5× 40 0.4× 94 1.1× 28 0.4× 12 609
Hung-Yi Chen 262 1.0× 47 0.3× 39 0.4× 68 0.8× 43 0.7× 10 535
Sanja Pavlica 174 0.7× 134 0.9× 47 0.5× 42 0.5× 20 0.3× 16 500
Natalia P. Alza 162 0.6× 35 0.2× 105 1.1× 200 2.3× 94 1.4× 15 523
Ka-Heng Lee 189 0.8× 37 0.3× 32 0.3× 80 0.9× 60 0.9× 13 611
Sook Hee Rhee 153 0.6× 154 1.1× 26 0.3× 43 0.5× 25 0.4× 13 549
Young Heui Kim 188 0.7× 43 0.3× 31 0.3× 63 0.7× 124 1.9× 17 567
Eun‐Ji Joung 194 0.8× 34 0.2× 60 0.6× 61 0.7× 25 0.4× 20 559

Countries citing papers authored by Yeong S. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Yeong S. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yeong S. Kim

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