Jeongdae Im

1.3k total citations
28 papers, 1.0k citations indexed

About

Jeongdae Im is a scholar working on Pollution, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Jeongdae Im has authored 28 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pollution, 8 papers in Molecular Biology and 8 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Jeongdae Im's work include Microbial bioremediation and biosurfactants (8 papers), Effects and risks of endocrine disrupting chemicals (6 papers) and Microplastics and Plastic Pollution (6 papers). Jeongdae Im is often cited by papers focused on Microbial bioremediation and biosurfactants (8 papers), Effects and risks of endocrine disrupting chemicals (6 papers) and Microplastics and Plastic Pollution (6 papers). Jeongdae Im collaborates with scholars based in United States, Austria and South Korea. Jeongdae Im's co-authors include Frank E. Löffler, Jeremy D. Semrau, Jun Yan, Alan A. DiSpirito, Yi Yang, Jae‐Jin Lee, Sukhwan Yoon, Sung‐Woo Lee, Michael J. Barcelona and Shawn R. Campagna and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Water Research.

In The Last Decade

Jeongdae Im

28 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeongdae Im United States 17 413 300 213 162 125 28 1.0k
Anu Kapanen Finland 13 370 0.9× 192 0.6× 122 0.6× 154 1.0× 124 1.0× 24 1.3k
Zhe Zhou China 19 442 1.1× 178 0.6× 168 0.8× 227 1.4× 68 0.5× 30 1.2k
Logeshwaran Panneerselvan Australia 19 535 1.3× 322 1.1× 90 0.4× 168 1.0× 84 0.7× 39 994
Katherine T. Peter United States 19 705 1.7× 597 2.0× 195 0.9× 192 1.2× 104 0.8× 26 1.5k
Tien‐Chieh Hung United States 23 331 0.8× 341 1.1× 380 1.8× 207 1.3× 233 1.9× 86 1.7k
Yun Kong China 24 569 1.4× 201 0.7× 308 1.4× 176 1.1× 257 2.1× 102 2.1k
Yangqing Wang China 18 678 1.6× 222 0.7× 142 0.7× 61 0.4× 219 1.8× 32 1.2k
Kazunori Nakano Japan 16 338 0.8× 170 0.6× 179 0.8× 297 1.8× 162 1.3× 80 1.3k
Yuan Lin China 15 275 0.7× 133 0.4× 169 0.8× 49 0.3× 128 1.0× 31 750

Countries citing papers authored by Jeongdae Im

Since Specialization
Citations

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

Fields of papers citing papers by Jeongdae Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeongdae Im

This figure shows the co-authorship network connecting the top 25 collaborators of Jeongdae Im. A scholar is included among the top collaborators of Jeongdae Im 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 Jeongdae Im. Jeongdae Im 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.
Min, Doohong, et al.. (2024). Forage conservation is a neglected nitrous oxide source. PNAS Nexus. 3(9). pgae373–pgae373. 1 indexed citations
2.
Lee, Jae‐Jin, et al.. (2023). Evaluation and optimization of lysis method for microbial DNA extraction from epiphytic phyllosphere samples. Journal of Microbiological Methods. 206. 106677–106677. 2 indexed citations
3.
Wang, Chao, Amanda L. May, Gao Chen, et al.. (2023). Mn(III)-mediated bisphenol a degradation: Mechanisms and products. Water Research. 235. 119787–119787. 37 indexed citations
4.
Löffler, Frank E., et al.. (2023). The relative contributions of Mn(III) and Mn(IV) in manganese dioxide polymorphs to bisphenol A degradation. Journal of Hazardous Materials. 461. 132596–132596. 10 indexed citations
5.
Löffler, Frank E., et al.. (2021). Biologically mediated abiotic degradation (BMAD) of bisphenol A by manganese-oxidizing bacteria. Journal of Hazardous Materials. 417. 125987–125987. 39 indexed citations
6.
Im, Jeongdae, et al.. (2019). Biotic and Abiotic Dehalogenation of 1,1,2-Trichloro-1,2,2-trifluoroethane (CFC-113): Implications for Bacterial Detoxification of Chlorinated Ethenes. Environmental Science & Technology. 53(20). 11941–11948. 15 indexed citations
7.
Sang, Hyunkyu, et al.. (2018). A Xenobiotic Detoxification Pathway through Transcriptional Regulation in Filamentous Fungi. mBio. 9(4). 67 indexed citations
8.
Sang, Hyunkyu, et al.. (2018). Chlorothalonil biotransformation by cytochrome P450 monooxygenases in Sclerotinia homoeocarpa. FEMS Microbiology Letters. 365(19). 11 indexed citations
9.
Im, Jeongdae, et al.. (2016). Simplified extraction of bisphenols from bacterial culture suspensions and solid matrices. Journal of Microbiological Methods. 126. 35–37. 8 indexed citations
10.
Im, Jeongdae, et al.. (2014). 4-Methylphenol produced in freshwater sediment microcosms is not a bisphenol A metabolite. Chemosphere. 117. 521–526. 10 indexed citations
11.
Choi, Seung‐Hoon, et al.. (2014). Regulation of Ethanol-Related Behavior and Ethanol Metabolism by the Corazonin Neurons and Corazonin Receptor in Drosophila melanogaster. PLoS ONE. 9(1). e87062–e87062. 39 indexed citations
12.
Im, Jeongdae, Jae‐Jin Lee, & Frank E. Löffler. (2013). Interference of ferric ions with ferrous iron quantification using the ferrozine assay. Journal of Microbiological Methods. 95(3). 366–367. 33 indexed citations
13.
Yan, Jun, Jeongdae Im, Yi Yang, & Frank E. Löffler. (2013). Guided cobalamin biosynthesis supports Dehalococcoides mccartyi reductive dechlorination activity. Philosophical Transactions of the Royal Society B Biological Sciences. 368(1616). 20120320–20120320. 94 indexed citations
14.
Im, Jeongdae & Jeremy D. Semrau. (2011). Pollutant degradation by a Methylocystis strain SB2 grown on ethanol: bioremediation via facultative methanotrophy. FEMS Microbiology Letters. 318(2). 137–142. 32 indexed citations
15.
Yoon, Sukhwan, Jeongdae Im, Nathan Bandow, Alan A. DiSpirito, & Jeremy D. Semrau. (2010). Constitutive expression of pMMO by Methylocystis strain SB2 when grown on multi‐carbon substrates: implications for biodegradation of chlorinated ethenes. Environmental Microbiology Reports. 3(2). 182–188. 25 indexed citations
16.
Im, Jeongdae, Sung-Woo Lee, Levente Bodrossy, Michael J. Barcelona, & Jeremy D. Semrau. (2010). Field application of nitrogen and phenylacetylene to mitigate greenhouse gas emissions from landfill cover soils: effects on microbial community structure. Applied Microbiology and Biotechnology. 89(1). 189–200. 18 indexed citations
17.
Im, Jeongdae, Sung‐Woo Lee, Sukhwan Yoon, Alan A. DiSpirito, & Jeremy D. Semrau. (2010). Characterization of a novel facultative Methylocystis species capable of growth on methane, acetate and ethanol. Environmental Microbiology Reports. 3(2). 174–181. 79 indexed citations
19.
Im, Jeongdae, et al.. (2008). Estimation of mass transport parameters of gases for quantifying CH4 oxidation in landfill soil covers. Waste Management. 29(2). 869–875. 11 indexed citations
20.
Im, Jeongdae, et al.. (1987). Effect of zeolite application on rice yields by soil texture. 2 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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