Un-Ki Hwang

1.5k total citations · 1 hit paper
53 papers, 1.1k citations indexed

About

Un-Ki Hwang is a scholar working on Health, Toxicology and Mutagenesis, Ocean Engineering and Pollution. According to data from OpenAlex, Un-Ki Hwang has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Health, Toxicology and Mutagenesis, 15 papers in Ocean Engineering and 14 papers in Pollution. Recurrent topics in Un-Ki Hwang's work include Environmental Toxicology and Ecotoxicology (27 papers), Marine Biology and Environmental Chemistry (12 papers) and Pharmaceutical and Antibiotic Environmental Impacts (8 papers). Un-Ki Hwang is often cited by papers focused on Environmental Toxicology and Ecotoxicology (27 papers), Marine Biology and Environmental Chemistry (12 papers) and Pharmaceutical and Antibiotic Environmental Impacts (8 papers). Un-Ki Hwang collaborates with scholars based in South Korea, Japan and Egypt. Un-Ki Hwang's co-authors include Jae‐Seong Lee, Ju-Wook Lee, Jeonghoon Han, Ju‐Chan Kang, Hoon Choi, Yue Jai Kang, Kwang Il Kim, Jun‐Hwan Kim, Jun Chul Park and Eun‐Ji Won and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Pollution and Chemosphere.

In The Last Decade

Un-Ki Hwang

46 papers receiving 1.1k citations

Hit Papers

Toxic effects of lead exposure on bioaccumulation, oxidat... 2019 2026 2021 2023 2019 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Un-Ki Hwang South Korea 19 649 431 176 143 125 53 1.1k
Juliana Zomer Sandrini Brazil 21 573 0.9× 360 0.8× 146 0.8× 125 0.9× 70 0.6× 44 1.0k
Marta Martins Portugal 24 938 1.4× 719 1.7× 98 0.6× 125 0.9× 102 0.8× 63 1.5k
Sofia Guilherme Portugal 19 761 1.2× 526 1.2× 102 0.6× 113 0.8× 136 1.1× 39 1.2k
Carla Quintaneiro Portugal 20 608 0.9× 361 0.8× 146 0.8× 128 0.9× 81 0.6× 38 989
Monia Perugini Italy 23 1.0k 1.6× 603 1.4× 135 0.8× 127 0.9× 64 0.5× 74 1.9k
Camila de Martinez Gaspar Martins Brazil 21 934 1.4× 669 1.6× 96 0.5× 234 1.6× 209 1.7× 50 1.5k
Graham van Aggelen Canada 16 612 0.9× 532 1.2× 176 1.0× 121 0.8× 60 0.5× 42 1.2k
Ik Joon Kang Japan 20 673 1.0× 557 1.3× 98 0.6× 83 0.6× 153 1.2× 40 1.4k
Alain Devaux France 29 1.1k 1.8× 583 1.4× 237 1.3× 147 1.0× 175 1.4× 61 2.0k
Xuchun Qiu China 24 740 1.1× 597 1.4× 212 1.2× 83 0.6× 58 0.5× 97 1.6k

Countries citing papers authored by Un-Ki Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Un-Ki Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Un-Ki Hwang. 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 Un-Ki Hwang. The network helps show where Un-Ki Hwang may publish in the future.

Co-authorship network of co-authors of Un-Ki Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Un-Ki Hwang. A scholar is included among the top collaborators of Un-Ki Hwang 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 Un-Ki Hwang. Un-Ki Hwang 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
2.
Lee, Yoseop, Eunjin Byeon, Duck‐Hyun Kim, et al.. (2023). Hypoxia in aquatic invertebrates: Occurrence and phenotypic and molecular responses. Aquatic Toxicology. 263. 106685–106685. 22 indexed citations
4.
Kim, Duck‐Hyun, Min‐Sub Kim, Alaa El‐Din H. Sayed, et al.. (2022). Comparative genome analysis of the monogonont marine rotifer Brachionus manjavacas Australian strain: Potential application for ecotoxicology and environmental genomics. Marine Pollution Bulletin. 180. 113752–113752. 2 indexed citations
5.
Byeon, Eunjin, Beom‐Soon Choi, Jun Chul Park, et al.. (2021). The genome of the freshwater monogonont rotifer Brachionus angularis: Identification of phase I, II, and III detoxification genes and their roles in molecular ecotoxicology. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 38. 100821–100821. 16 indexed citations
6.
7.
Kang, Hye-Min, Min‐Sub Kim, Beom‐Soon Choi, et al.. (2020). The genome of the marine monogonont rotifer Brachionus rotundiformis and insight into species-specific detoxification components in Brachionus spp.. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 36. 100714–100714. 21 indexed citations
8.
Lee, Bo‐Young, Jun Chul Park, Min‐Sub Kim, et al.. (2020). The genome of the Java medaka (Oryzias javanicus): Potential for its use in marine molecular ecotoxicology. Marine Pollution Bulletin. 154. 111118–111118. 6 indexed citations
9.
Han, Jeonghoon, Jun Chul Park, Hye-Min Kang, et al.. (2019). Adverse effects, expression of defense-related genes, and oxidative stress-induced MAPK pathway in the benzo[α]pyrene-exposed rotifer Brachionus rotundiformis. Aquatic Toxicology. 210. 188–195. 19 indexed citations
10.
11.
Park, Jun Chul, Duck‐Hyun Kim, Min‐Chul Lee, et al.. (2018). Genome-wide identification of the entire 90 glutathione S-transferase (GST) subfamily genes in four rotifer Brachionus species and transcriptional modulation in response to endocrine disrupting chemicals. Comparative Biochemistry and Physiology Part D Genomics and Proteomics. 28. 183–195. 33 indexed citations
12.
Choi, Hoon, et al.. (2018). Ecotoxic Evaluations of BDE-47 and BDE-209 using Rotifer (<i>Brachionus plicatilis</i>). Environmental Biology Research. 36(1). 43–49. 3 indexed citations
14.
Han, Jeonghoon, Eun‐Ji Won, Un-Ki Hwang, et al.. (2016). Triclosan (TCS) and Triclocarban (TCC) cause lifespan reduction and reproductive impairment through oxidative stress-mediated expression of the defensome in the monogonont rotifer ( Brachionus koreanus ). Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 185-186. 131–137. 72 indexed citations
15.
Hwang, Un-Ki, et al.. (2014). Toxic Effects of Heavy Metal (Cd, Cu, Zn) on Population Growth Rate of the Marine Diatom (Skeletonema costatum). Environmental Biology Research. 32(3). 243–249. 6 indexed citations
16.
Won, Eun‐Ji, Yeonjung Lee, Jeonghoon Han, et al.. (2014). Effects of UV radiation on hatching, lipid peroxidation, and fatty acid composition in the copepod Paracyclopina nana. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 165. 60–66. 44 indexed citations
18.
Hwang, Un-Ki, et al.. (2012). Effect of Salinity on Survival and Growth of 3 Gobiidae. Environmental Biology Research. 30(1). 9–14. 1 indexed citations
19.
Kang, Ju‐Chan, et al.. (2008). Establishment of Marine Ecotoxicological Standard Method for Larval Fish Survival Test. Symposium on Experimental and Efficient Algorithms. 13(2). 140–146. 1 indexed citations
20.
Hwang, Un-Ki, et al.. (2007). Distribution of Water Masses and Chemical Properties in the East Sea of Korea in Spring 2005. Journal of the Korean Society for Marine Environment & Energy. 10(4). 235–243. 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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