Dae-Sil Lee

17 total papers · 810 total citations
15 papers, 622 citations indexed

About

Dae-Sil Lee is a scholar working on Molecular Biology, Surgery and Biotechnology. According to data from OpenAlex, Dae-Sil Lee has authored 15 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Surgery and 3 papers in Biotechnology. Recurrent topics in Dae-Sil Lee's work include Pancreatic function and diabetes (4 papers), Enzyme Structure and Function (3 papers) and RNA and protein synthesis mechanisms (2 papers). Dae-Sil Lee is often cited by papers focused on Pancreatic function and diabetes (4 papers), Enzyme Structure and Function (3 papers) and RNA and protein synthesis mechanisms (2 papers). Dae-Sil Lee collaborates with scholars based in South Korea, United States and Russia. Dae-Sil Lee's co-authors include Se Won Suh, Jimin Wang, Soo Hyun Eom, Young Soo Kim, Thomas A. Steitz, Jun‐Seok Kim, Min-Jung Song, Seung Wook Kim, Suk-In Hong and Changsoo Chang and has published in prestigious journals such as Nature, Nucleic Acids Research and Journal of Molecular Biology.

In The Last Decade

Dae-Sil Lee

15 papers receiving 592 citations

Author Peers

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

Author Last Decade Papers Cites
Dae-Sil Lee 405 182 98 85 67 15 622
Jean-Louis Drocourt 384 0.9× 95 0.5× 48 0.5× 40 0.5× 24 0.4× 20 790
Tamzin Gristwood 572 1.4× 174 1.0× 171 1.7× 31 0.4× 139 2.1× 10 789
Huansheng Gong 380 0.9× 60 0.3× 56 0.6× 77 0.9× 176 2.6× 13 657
Sergey V. Smirnov 515 1.3× 37 0.2× 83 0.8× 82 1.0× 42 0.6× 20 730
Barbara Podobnik 316 0.8× 70 0.4× 38 0.4× 41 0.5× 70 1.0× 12 594
Hyung‐Yeon Park 534 1.3× 66 0.4× 36 0.4× 90 1.1× 67 1.0× 34 788
J. J. Armstrong 315 0.8× 84 0.5× 82 0.8× 23 0.3× 130 1.9× 12 637
Feng Song 541 1.3× 58 0.3× 98 1.0× 158 1.9× 84 1.3× 35 789
David Sychantha 321 0.8× 61 0.3× 115 1.2× 50 0.6× 128 1.9× 22 613
Nikki Dellas 525 1.3× 48 0.3× 68 0.7× 34 0.4× 164 2.4× 14 612

Countries citing papers authored by Dae-Sil Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dae-Sil Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae-Sil Lee. 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 Dae-Sil Lee. The network helps show where Dae-Sil Lee may publish in the future.

Co-authorship network of co-authors of Dae-Sil Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Dae-Sil Lee. A scholar is included among the top collaborators of Dae-Sil Lee 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 Dae-Sil Lee. Dae-Sil Lee 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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