Seyoung Lim

35 total papers · 993 total citations
27 papers, 819 citations indexed

About

Seyoung Lim is a scholar working on Molecular Biology, Cell Biology and Rheumatology. According to data from OpenAlex, Seyoung Lim has authored 27 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Rheumatology. Recurrent topics in Seyoung Lim's work include Protein Kinase Regulation and GTPase Signaling (6 papers), Sphingolipid Metabolism and Signaling (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). Seyoung Lim is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (6 papers), Sphingolipid Metabolism and Signaling (5 papers) and Metabolism, Diabetes, and Cancer (4 papers). Seyoung Lim collaborates with scholars based in South Korea, United States and Australia. Seyoung Lim's co-authors include Sung Ho Ryu, Pann‐Ghill Suh, Jeong Kon Seo, Pann‐Ghill Suh, Kyong‐Tai Kim, Jung Kuk Kim, Kyungmoo Yea, Jae Ho Kim, Hyun‐Jun Jang and Jung‐Min Kim and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Seyoung Lim

26 papers receiving 813 citations

Author Peers

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

Author Last Decade Papers Cites
Seyoung Lim 515 132 126 107 103 27 819
Pierre Scotney 548 1.1× 165 1.3× 118 0.9× 153 1.4× 126 1.2× 21 1.0k
Daohua Xu 544 1.1× 112 0.8× 85 0.7× 66 0.6× 66 0.6× 39 940
Jinjiang Pang 562 1.1× 89 0.7× 170 1.3× 123 1.1× 80 0.8× 37 1.0k
Xiaojia Huang 486 0.9× 94 0.7× 97 0.8× 138 1.3× 72 0.7× 31 1.0k
Christian Bindesbøll 479 0.9× 135 1.0× 110 0.9× 104 1.0× 231 2.2× 22 837
Erik Samén 431 0.8× 148 1.1× 175 1.4× 59 0.6× 115 1.1× 23 820
Pamela Lockyer 693 1.3× 91 0.7× 137 1.1× 95 0.9× 166 1.6× 32 998
Zeyang Li 401 0.8× 96 0.7× 145 1.2× 106 1.0× 183 1.8× 47 843
Prasenjit Mitra 614 1.2× 157 1.2× 85 0.7× 144 1.3× 56 0.5× 40 969
Valentina Caracciolo 522 1.0× 179 1.4× 219 1.7× 82 0.8× 68 0.7× 21 975

Countries citing papers authored by Seyoung Lim

Since Specialization
Citations

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

Fields of papers citing papers by Seyoung Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seyoung Lim. 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 Seyoung Lim. The network helps show where Seyoung Lim may publish in the future.

Co-authorship network of co-authors of Seyoung Lim

This figure shows the co-authorship network connecting the top 25 collaborators of Seyoung Lim. A scholar is included among the top collaborators of Seyoung Lim 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 Seyoung Lim. Seyoung Lim 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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