Seungok Lee

172 total papers · 3.9k total citations
111 papers, 3.1k citations indexed

About

Seungok Lee is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Seungok Lee has authored 111 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 25 papers in Epidemiology and 20 papers in Infectious Diseases. Recurrent topics in Seungok Lee's work include Antibiotic Resistance in Bacteria (9 papers), Bacterial Identification and Susceptibility Testing (8 papers) and Antimicrobial Resistance in Staphylococcus (6 papers). Seungok Lee is often cited by papers focused on Antibiotic Resistance in Bacteria (9 papers), Bacterial Identification and Susceptibility Testing (8 papers) and Antimicrobial Resistance in Staphylococcus (6 papers). Seungok Lee collaborates with scholars based in South Korea, United States and United Kingdom. Seungok Lee's co-authors include Jae Sung Lee, Suk Joon Hong, Jum Suk Jang, Myungshin Kim, Dong Wook Jekarl, Yonggoo Kim, Yeon-Joon Park, Jung Hyun Kwon, Jeong Won Jang and Moon Won Kang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy & Environmental Science and Gastroenterology.

In The Last Decade

Seungok Lee

103 papers receiving 3.0k citations

Hit Papers

Heterojunction BiVO4/WO3 ... 2011 2026 2016 2021 2011 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Seungok Lee 991 817 583 564 472 111 3.1k
Ryuichi Nakano 269 0.3× 281 0.3× 60 0.1× 1.2k 2.1× 336 0.7× 154 3.6k
Yun‐Chung Leung 268 0.3× 642 0.8× 430 0.7× 1.6k 2.9× 137 0.3× 125 3.8k
Ting Guo 666 0.7× 461 0.6× 377 0.6× 1.1k 1.9× 223 0.5× 178 3.8k
Jiann‐Hwa Chen 202 0.2× 228 0.3× 137 0.2× 841 1.5× 415 0.9× 95 2.5k
Rohan Dhiman 468 0.5× 396 0.5× 234 0.4× 588 1.0× 350 0.7× 74 2.0k
Amit Singh 202 0.2× 1.6k 2.0× 164 0.3× 2.0k 3.6× 1.1k 2.4× 84 5.3k
Morteza Milani 79 0.1× 1.0k 1.3× 117 0.2× 912 1.6× 95 0.2× 80 3.6k
Sung Kyu Choi 1.1k 1.1× 810 1.0× 382 0.7× 303 0.5× 632 1.3× 208 3.6k
Hajime Goto 101 0.1× 450 0.6× 268 0.5× 342 0.6× 1.3k 2.8× 200 3.7k
Jiang Pi 112 0.1× 1.1k 1.3× 160 0.3× 1.3k 2.2× 224 0.5× 110 4.0k

Countries citing papers authored by Seungok Lee

Since Specialization
Citations

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

Fields of papers citing papers by Seungok Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seungok Lee

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