Eu Gene Chung

578 total citations
31 papers, 454 citations indexed

About

Eu Gene Chung is a scholar working on Pollution, Environmental Chemistry and Pharmacology. According to data from OpenAlex, Eu Gene Chung has authored 31 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pollution, 9 papers in Environmental Chemistry and 7 papers in Pharmacology. Recurrent topics in Eu Gene Chung's work include Pharmaceutical and Antibiotic Environmental Impacts (11 papers), Soil and Water Nutrient Dynamics (8 papers) and Antibiotics Pharmacokinetics and Efficacy (7 papers). Eu Gene Chung is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (11 papers), Soil and Water Nutrient Dynamics (8 papers) and Antibiotics Pharmacokinetics and Efficacy (7 papers). Eu Gene Chung collaborates with scholars based in South Korea, United States and Spain. Eu Gene Chung's co-authors include Hong-Duck Ryu, Yong-Seok Kim, Chansik Kim, S. Geoffrey Schladow, Fabián A. Bombardelli, Jae‐Kwan Lee, Kyunghyun Kim, Jae Kwan Lee, Sun-Jung Kim and Min‐Seob Kim and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Resources Research.

In The Last Decade

Eu Gene Chung

28 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eu Gene Chung South Korea 11 155 94 83 70 59 31 454
Christopher Kevin Waul Denmark 9 213 1.4× 114 1.2× 43 0.5× 47 0.7× 59 1.0× 12 453
Marie‐Christine Morel France 11 194 1.3× 67 0.7× 25 0.3× 43 0.6× 52 0.9× 15 375
A. G. Zavarzına Russia 15 120 0.8× 24 0.3× 47 0.6× 87 1.2× 42 0.7× 36 615
Grzegorz Siedlewicz Poland 14 474 3.1× 64 0.7× 129 1.6× 46 0.7× 68 1.2× 24 731
Chellandi Mohandass India 15 78 0.5× 79 0.8× 29 0.3× 175 2.5× 58 1.0× 41 659
Jordi‐René Mor Spain 11 260 1.7× 134 1.4× 94 1.1× 185 2.6× 67 1.1× 14 625
Faith A. Kibuye United States 9 136 0.9× 90 1.0× 30 0.4× 53 0.8× 181 3.1× 13 415
Štěpán Zezulka Czechia 18 294 1.9× 53 0.6× 77 0.9× 32 0.5× 127 2.2× 32 908
Damien A. Devault France 15 276 1.8× 41 0.4× 43 0.5× 44 0.6× 36 0.6× 35 559

Countries citing papers authored by Eu Gene Chung

Since Specialization
Citations

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

Fields of papers citing papers by Eu Gene Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eu Gene Chung. 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 Eu Gene Chung. The network helps show where Eu Gene Chung may publish in the future.

Co-authorship network of co-authors of Eu Gene Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Eu Gene Chung. A scholar is included among the top collaborators of Eu Gene Chung 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 Eu Gene Chung. Eu Gene Chung 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.
Im, Seongwon, Mo‐Kwon Lee, Xueqing Shi, et al.. (2024). Keep manure fresh, get more!. Resources Conservation and Recycling. 206. 107629–107629. 1 indexed citations
3.
Park, Jae‐Hong, Eu Gene Chung, Eun Hye Na, & Yongseok Kim. (2024). Operation Status and Effective Operation Management Model for On-Site Swine Wastewater Treatment Facilities. Water. 16(13). 1794–1794.
4.
Chung, Eu Gene, et al.. (2024). A novel approach to identify priority areas for optimal nutrient management in mixed land-use watersheds through nutrient budget assessment. Journal of Environmental Management. 357. 120645–120645. 1 indexed citations
5.
Chung, Eu Gene, et al.. (2023). Exploring VA presence in groundwater of densely populated livestock farming watersheds: Sources, seasonal dynamics and geospatial relationships. Agriculture Ecosystems & Environment. 359. 108725–108725. 3 indexed citations
6.
Chung, Eu Gene, et al.. (2023). Characteristics of Soil Heavy Metal Contamination in the Intensive Livestock Farming Watersheds. SHILAP Revista de lepidopterología. 45(7). 275–287. 1 indexed citations
7.
Park, Jae‐Hong, et al.. (2022). TOC Standards for Sustainably Managing Refractory Organic Matter in Swine Wastewater Effluent. Sustainability. 14(16). 10092–10092. 6 indexed citations
8.
Chung, Eu Gene, et al.. (2022). Impact assessment of on-site swine wastewater treatment facilities on spatiotemporal variations of nitrogen loading in an intensive livestock farming watershed. Environmental Science and Pollution Research. 29(26). 39994–40011. 5 indexed citations
9.
Kim, Chansik, et al.. (2021). Concentrations and Risk Assessments of Antibiotics in an Urban–Rural Complex Watershed with Intensive Livestock Farming. International Journal of Environmental Research and Public Health. 18(20). 10797–10797. 6 indexed citations
10.
Ryu, Hong-Duck, Sun-Jung Kim, Eu Gene Chung, et al.. (2021). Identifying nitrogen sources in intensive livestock farming watershed with swine excreta treatment facility using dual ammonium (δ15NNH4) and nitrate (δ15NNO3) nitrogen isotope ratios axes. The Science of The Total Environment. 779. 146480–146480. 19 indexed citations
14.
Kim, Chansik, Hong-Duck Ryu, Eu Gene Chung, & Yong-Seok Kim. (2018). Determination of 18 veterinary antibiotics in environmental water using high-performance liquid chromatography-q-orbitrap combined with on-line solid-phase extraction. Journal of Chromatography B. 1084. 158–165. 88 indexed citations
15.
Kim, Chansik, Hong-Duck Ryu, Eu Gene Chung, Yong-Seok Kim, & Jae‐Kwan Lee. (2018). A review of analytical procedures for the simultaneous determination of medically important veterinary antibiotics in environmental water: Sample preparation, liquid chromatography, and mass spectrometry. Journal of Environmental Management. 217. 629–645. 98 indexed citations
16.
Ryu, Hong-Duck, et al.. (2018). Assessment and identification of nitrogen pollution sources in the Cheongmi River with intensive livestock farming areas, Korea. Environmental Science and Pollution Research. 25(14). 13499–13510. 14 indexed citations
17.
Chung, Eu Gene, Fabián A. Bombardelli, & S. Geoffrey Schladow. (2009). Modeling linkages between sediment resuspension and water quality in a shallow, eutrophic, wind-exposed lake. Ecological Modelling. 220(9-10). 1251–1265. 52 indexed citations
18.
Chung, Eu Gene, Fabián A. Bombardelli, & S. Geoffrey Schladow. (2009). Sediment resuspension in a shallow lake. Water Resources Research. 45(5). 52 indexed citations
19.
Chung, Eu Gene, S. Geoffrey Schladow, Joaquim Pérez-Losada, & Dale M. Robertson. (2008). A linked hydrodynamic and water quality model for the Salton Sea. Hydrobiologia. 604(1). 57–75. 10 indexed citations
20.
Schladow, S. Geoffrey, et al.. (2007). Quantifying sediment resuspension linkages to nutrient enrichment in the existing and future Salton Sea. eScholarship (California Digital Library). 1 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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