Woo Sirl Lee

19 total papers · 472 total citations
18 papers, 420 citations indexed

About

Woo Sirl Lee is a scholar working on Molecular Biology, Organic Chemistry and Oncology. According to data from OpenAlex, Woo Sirl Lee has authored 18 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Organic Chemistry and 2 papers in Oncology. Recurrent topics in Woo Sirl Lee's work include RNA Interference and Gene Delivery (9 papers), Advanced biosensing and bioanalysis techniques (7 papers) and DNA and Nucleic Acid Chemistry (5 papers). Woo Sirl Lee is often cited by papers focused on RNA Interference and Gene Delivery (9 papers), Advanced biosensing and bioanalysis techniques (7 papers) and DNA and Nucleic Acid Chemistry (5 papers). Woo Sirl Lee collaborates with scholars based in South Korea, United States and Singapore. Woo Sirl Lee's co-authors include Sung‐Kee Chung, Kaustabh Kumar Maiti, Kyong‐Tai Kim, Toshihide Takeuchi, Shiroh Futaki, Hyun‐Suk Lim, Arwyn T. Jones, Marjan M. Fretz, Wonpil Im and Young‐Tae Chang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Woo Sirl Lee

18 papers receiving 414 citations

Author Peers

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

Author Last Decade Papers Cites
Woo Sirl Lee 357 122 43 39 37 18 420
Quentin Laurent 289 0.8× 154 1.3× 14 0.3× 43 1.1× 30 0.8× 26 453
Ronald M. Kim 253 0.7× 133 1.1× 32 0.7× 26 0.7× 10 0.3× 11 409
Josep Farrera‐Sinfreu 330 0.9× 130 1.1× 16 0.4× 28 0.7× 12 0.3× 17 456
Huifen Nie 281 0.8× 44 0.4× 27 0.6× 17 0.4× 12 0.3× 11 444
Baochang Zhang 318 0.9× 151 1.2× 34 0.8× 50 1.3× 14 0.4× 20 411
Koki Wada 272 0.8× 80 0.7× 114 2.7× 16 0.4× 27 0.7× 24 474
Mitsuo Zama 273 0.8× 114 0.9× 12 0.3× 31 0.8× 46 1.2× 23 450
C. Monny 349 1.0× 61 0.5× 10 0.2× 33 0.8× 14 0.4× 14 392
Eric W. P. Damen 192 0.5× 164 1.3× 25 0.6× 68 1.7× 9 0.2× 13 367
Marc Heitz 238 0.7× 213 1.7× 88 2.0× 10 0.3× 16 0.4× 21 448

Countries citing papers authored by Woo Sirl Lee

Since Specialization
Citations

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

Fields of papers citing papers by Woo Sirl Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woo Sirl 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 Woo Sirl Lee. The network helps show where Woo Sirl Lee may publish in the future.

Co-authorship network of co-authors of Woo Sirl Lee

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