Seungdae Oh

2.9k total citations
75 papers, 2.3k citations indexed

About

Seungdae Oh is a scholar working on Pollution, Health, Toxicology and Mutagenesis and Water Science and Technology. According to data from OpenAlex, Seungdae Oh has authored 75 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Pollution, 21 papers in Health, Toxicology and Mutagenesis and 18 papers in Water Science and Technology. Recurrent topics in Seungdae Oh's work include Pharmaceutical and Antibiotic Environmental Impacts (24 papers), Wastewater Treatment and Nitrogen Removal (20 papers) and Water Treatment and Disinfection (15 papers). Seungdae Oh is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (24 papers), Wastewater Treatment and Nitrogen Removal (20 papers) and Water Treatment and Disinfection (15 papers). Seungdae Oh collaborates with scholars based in South Korea, India and United States. Seungdae Oh's co-authors include Konstantinos T. Konstantinidis, Donggeon Choi, Wen‐Tso Liu, Spyros G. Pavlostathis, Luong T. Nguyen, Madan Tandukar, Ulaş Tezel, S.K. Dwivedi, Vinay Kumar and Frederik Hammes and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Seungdae Oh

73 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seungdae Oh South Korea 28 1.2k 486 480 456 376 75 2.3k
Hui Huang China 29 1.1k 0.9× 623 1.3× 603 1.3× 383 0.8× 262 0.7× 106 2.6k
Michael Gatheru Waigi China 28 1.3k 1.2× 586 1.2× 349 0.7× 340 0.7× 265 0.7× 61 2.4k
Jinsong Liang China 35 1.0k 0.9× 520 1.1× 701 1.5× 474 1.0× 391 1.0× 132 3.4k
Chengsong Ye China 30 1.1k 0.9× 671 1.4× 512 1.1× 501 1.1× 239 0.6× 81 2.5k
Xin Yu China 32 1.2k 1.0× 898 1.8× 593 1.2× 570 1.3× 262 0.7× 99 3.0k
Ling Zhao China 28 1.3k 1.1× 356 0.7× 658 1.4× 246 0.5× 247 0.7× 108 3.1k
Wenjuan Song China 21 1.1k 1.0× 335 0.7× 244 0.5× 256 0.6× 332 0.9× 51 2.0k
Claudia K. Gunsch United States 27 1.1k 0.9× 633 1.3× 344 0.7× 338 0.7× 370 1.0× 94 2.6k
Patrick J. McNamara United States 31 1.4k 1.2× 635 1.3× 715 1.5× 331 0.7× 193 0.5× 92 3.1k
Preeti Chaturvedi India 35 998 0.9× 398 0.8× 870 1.8× 746 1.6× 479 1.3× 79 3.9k

Countries citing papers authored by Seungdae Oh

Since Specialization
Citations

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

Fields of papers citing papers by Seungdae Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seungdae Oh

This figure shows the co-authorship network connecting the top 25 collaborators of Seungdae Oh. A scholar is included among the top collaborators of Seungdae Oh 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 Seungdae Oh. Seungdae Oh 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.
Fatima, Bushra, Rabia Ahmad, Azza A. Al‐Ghamdi, et al.. (2025). The Synthesis of Functionalized W5O14 Nanorods for the Adsorption of Bismarck Brown R from Wastewater. Water. 17(2). 196–196. 3 indexed citations
2.
Oh, Seungdae, et al.. (2025). Machine learning and Bayesian network probabilistic modeling using microbiome data provide diagnostic understanding of a full-scale sequencing batch reactor. Journal of Water Process Engineering. 72. 107599–107599. 2 indexed citations
3.
4.
Goswami, Lalit, et al.. (2025). Graphitic carbon nitride-based composite architectures for photocatalytic hydrogen production: A critical review. Materials Today Sustainability. 31. 101188–101188. 1 indexed citations
5.
Song, Wenjuan, Lin Li, Seungdae Oh, Hans‐Peter Grossart, & Yuyi Yang. (2025). Tire wear particles in aquatic environments: From biota to ecosystem impacts. Journal of Environmental Management. 388. 126059–126059. 2 indexed citations
6.
Anh, Nguyễn Thị Vân, et al.. (2024). Alkaline-modified biochar and nitrifying microbiome synergistically mitigate the toxicity of oxytetracycline and its toxic by-products. Chemical Engineering Journal. 481. 148527–148527. 15 indexed citations
7.
Park, Joonhong, et al.. (2024). A metagenome-derived artificial intelligence modeling framework advances the predictive diagnosis and interpretation of petroleum-polluted groundwater. Journal of Hazardous Materials. 472. 134513–134513. 12 indexed citations
8.
Ahmad, Rabia, et al.. (2024). Biodegradable Acid-Based Fe2MnO4 Nanoparticles for Water Remediation. Molecules. 29(16). 3867–3867. 5 indexed citations
9.
Oh, Seungdae, et al.. (2024). Machine learning surveillance of foodborne infectious diseases using wastewater microbiome, crowdsourced, and environmental data. Water Research. 265. 122282–122282. 6 indexed citations
10.
Fatima, Bushra, et al.. (2024). Cu-Zn coupled heterojunction photocatalyst for dye degradation: Performance evaluation based on the quantum yield and figure of merit. Journal of Saudi Chemical Society. 28(3). 101858–101858. 11 indexed citations
11.
Anh, Nguyễn Thị Vân & Seungdae Oh. (2023). Effect of antibiotic cocktail exposure on functional disturbance of nitrifying microbiome. Journal of Hazardous Materials. 455. 131571–131571. 20 indexed citations
12.
Siddiqui, Sharf Ilahi, et al.. (2023). Biological detoxification of oxytetracycline using Achromobacter-immobilized bioremediation system. Journal of Water Process Engineering. 52. 103491–103491. 17 indexed citations
13.
Oh, Seungdae, et al.. (2023). Activated sludge microbiome with H2O2-modified biochar enhances the treatment resilience and detoxification of oxytetracycline and its toxic byproducts. Environmental Research. 236(Pt 2). 116832–116832. 15 indexed citations
14.
15.
Tara, Nusrat, et al.. (2023). Nigella sativa-Manganese Ferrite-Reduced Graphene Oxide-Based Nanomaterial: A Novel Adsorbent for Water Treatment. Molecules. 28(13). 5007–5007. 9 indexed citations
16.
Park, Ji Won, Sang-Yeop Chung, Hee-Jong Son, et al.. (2021). Occurrences and changes in bacterial growth-promoting nutrients in drinking water from source to tap: a review. Environmental Science Water Research & Technology. 7(12). 2206–2222. 14 indexed citations
17.
Oh, Seungdae, et al.. (2020). Inhibitory mechanisms and fate of the analgesic drug acetaminophen in nitrifying activated sludge. Journal of Hazardous Materials. 399. 123104–123104. 32 indexed citations
18.
Nguyen, Luong T., Long D. Nghiem, & Seungdae Oh. (2018). Aerobic biotransformation of the antibiotic ciprofloxacin by Bradyrhizobium sp. isolated from activated sludge. Chemosphere. 211. 600–607. 67 indexed citations
19.
20.
Tandukar, Madan, Seungdae Oh, Ulaş Tezel, Konstantinos T. Konstantinidis, & Spyros G. Pavlostathis. (2013). Long-Term Exposure to Benzalkonium Chloride Disinfectants Results in Change of Microbial Community Structure and Increased Antimicrobial Resistance. Environmental Science & Technology. 47(17). 9730–9738. 179 indexed citations

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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