Tae Kwon Lee

3.1k total citations · 1 hit paper
81 papers, 2.3k citations indexed

About

Tae Kwon Lee is a scholar working on Ecology, Pollution and Molecular Biology. According to data from OpenAlex, Tae Kwon Lee has authored 81 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Ecology, 22 papers in Pollution and 13 papers in Molecular Biology. Recurrent topics in Tae Kwon Lee's work include Microbial Community Ecology and Physiology (18 papers), Wastewater Treatment and Nitrogen Removal (9 papers) and Ferroelectric and Piezoelectric Materials (6 papers). Tae Kwon Lee is often cited by papers focused on Microbial Community Ecology and Physiology (18 papers), Wastewater Treatment and Nitrogen Removal (9 papers) and Ferroelectric and Piezoelectric Materials (6 papers). Tae Kwon Lee collaborates with scholars based in South Korea, United States and Austria. Tae Kwon Lee's co-authors include Joonhong Park, James M. Tiedje, Woo Jun Sul, Yanni Sun, Qiong Wang, James R. Cole, John F. Quensen, Jordan Fish, Sudheer Kumar Shukla and Damian E. Helbling and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Environmental Science & Technology.

In The Last Decade

Tae Kwon Lee

74 papers receiving 2.2k citations

Hit Papers

Tracking heavy water (D 2 O) incorporation for identifyin... 2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Tracking heavy water (D 2 O) incorporation for identifying and sorting active microbial cells
    2014 341 citations Tae Kwon Lee et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tae Kwon Lee South Korea 25 723 598 549 316 315 81 2.3k
G. D. W. Swerhone Canada 27 444 0.6× 581 1.0× 607 1.1× 357 1.1× 380 1.2× 49 2.4k
Martina Hausner Germany 25 556 0.8× 1.1k 1.9× 901 1.6× 425 1.3× 424 1.3× 44 2.8k
Darren M. Reynolds United Kingdom 25 527 0.7× 549 0.9× 361 0.7× 471 1.5× 702 2.2× 57 3.5k
Jordi Mas Spain 31 742 1.0× 476 0.8× 719 1.3× 567 1.8× 211 0.7× 120 2.9k
Susann Müller Germany 36 1.1k 1.6× 750 1.3× 1.9k 3.5× 642 2.0× 287 0.9× 137 4.1k
Catherine A. Biggs United Kingdom 32 371 0.5× 463 0.8× 1.0k 1.8× 388 1.2× 446 1.4× 76 2.9k
Gideon Wolfaardt Canada 33 583 0.8× 1.1k 1.9× 1.3k 2.3× 644 2.0× 616 2.0× 126 4.2k
Yichao Wu China 30 405 0.6× 553 0.9× 557 1.0× 640 2.0× 212 0.7× 78 2.7k
Jie Feng China 31 694 1.0× 1.0k 1.7× 1.3k 2.5× 453 1.4× 183 0.6× 155 3.6k
Bruce Applegate United States 32 377 0.5× 481 0.8× 1.3k 2.4× 843 2.7× 228 0.7× 69 2.9k

Countries citing papers authored by Tae Kwon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Tae Kwon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae Kwon Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Kwon Lee. A scholar is included among the top collaborators of Tae Kwon 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 Tae Kwon Lee. Tae Kwon Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Tae Kwon, et al.. (2025). An automated machine learning-based framework for predicting groundwater quality with sensor data. Journal of Environmental Management. 392. 126729–126729.
2.
Kim, Sang–Hyoun, et al.. (2025). Gamma irradiation optimization reveals operational trade-offs between sludge solubilization efficiency and antibiotic resistance gene removal. Environmental Technology & Innovation. 40. 104579–104579.
3.
Lee, Tae Kwon, et al.. (2024). Exploration of aerosolization of indoor bacterial communities in relation to antibiotic usage on swine farms. Environmental Technology & Innovation. 36. 103893–103893. 1 indexed citations
4.
Lee, Tae Kwon, et al.. (2024). Determinants of microbial colonization on microplastics through wastewater treatment processes: The role of polymer type and sequential treatment. The Science of The Total Environment. 914. 170072–170072. 5 indexed citations
5.
Park, Joonhong, et al.. (2024). Assessing long-term ecological impacts of PCE contamination in groundwater using a flow cytometric fingerprint approach. The Science of The Total Environment. 931. 172698–172698. 2 indexed citations
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Choi, Yongjoo, et al.. (2024). The impact of bioaerosol trajectories on microbial community assembly and physicochemical dynamics in the atmosphere. The Science of The Total Environment. 930. 172736–172736. 2 indexed citations
8.
Kim, Kyung Min, et al.. (2024). Case report: Intrathecal baclofen therapy improved gait pattern in a stroke patient with spastic dystonia. Frontiers in Neurology. 15. 1330811–1330811.
9.
10.
Lee, Tae Kwon, et al.. (2023). Phenotypic shifts induced by environmental pre-stressors modify antibiotic resistance in Staphylococcus aureus. Frontiers in Microbiology. 14. 1304509–1304509. 1 indexed citations
11.
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Kim, Seoyoung C., et al.. (2021). Removal of pharmaceuticals and personal care products using native fungal enzymes extracted during the ligninolytic process. Environmental Research. 195. 110878–110878. 32 indexed citations
13.
Choi, Yongjoo, et al.. (2021). Flow cytometric monitoring of the bacterial phenotypic diversity in aquatic ecosystems. The Journal of Microbiology. 59(10). 879–885. 3 indexed citations
14.
15.
Song, Hyun Ah, et al.. (2019). Accelerating the Biodegradation of High-Density Polyethylene (HDPE) Using Bjerkandera adusta TBB-03 and Lignocellulose Substrates. Microorganisms. 7(9). 304–304. 59 indexed citations
16.
Lee, Jongmin, Kyoung Soon Choi, Tae Kwon Lee, et al.. (2018). Non-stoichiometry-induced metal-to-insulator transition in nickelate thin films grown by pulsed laser deposition. Current Applied Physics. 18(12). 1577–1582. 2 indexed citations
17.
Lee, Jae‐Jin & Tae Kwon Lee. (2016). Development and Characterization of PCE-to-Ethene Dechlorinating Microcosms with Contaminated River Sediment. Journal of Microbiology and Biotechnology. 26(1). 120–129. 16 indexed citations
18.
Yoo, Keunje, Tae Kwon Lee, Eun Joo Choi, et al.. (2016). Molecular approaches for the detection and monitoring of microbial communities in bioaerosols: A review. Journal of Environmental Sciences. 51. 234–247. 121 indexed citations
19.
Helbling, Damian E., David R. Johnson, Tae Kwon Lee, Andreas Scheidegger, & Kathrin Fenner. (2014). A framework for establishing predictive relationships between specific bacterial 16S rRNA sequence abundances and biotransformation rates. Water Research. 70. 471–484. 26 indexed citations
20.

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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