Ki‐Tae Kim

5.2k total citations
226 papers, 4.1k citations indexed

About

Ki‐Tae Kim is a scholar working on Materials Chemistry, Health, Toxicology and Mutagenesis and Spectroscopy. According to data from OpenAlex, Ki‐Tae Kim has authored 226 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Materials Chemistry, 39 papers in Health, Toxicology and Mutagenesis and 35 papers in Spectroscopy. Recurrent topics in Ki‐Tae Kim's work include Molecular Sensors and Ion Detection (32 papers), Magnesium Alloys: Properties and Applications (18 papers) and Aluminum Alloys Composites Properties (17 papers). Ki‐Tae Kim is often cited by papers focused on Molecular Sensors and Ion Detection (32 papers), Magnesium Alloys: Properties and Applications (18 papers) and Aluminum Alloys Composites Properties (17 papers). Ki‐Tae Kim collaborates with scholars based in South Korea, United States and Canada. Ki‐Tae Kim's co-authors include Hyojin Lee, Robert L. Tanguay, Cheal Kim, Sang D. Kim, Stephen J. Klaine, Jaeweon Cho, Dongju Yun, Sang Don Kim, Mi Hee Lim and Kyungho Choi and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Ki‐Tae Kim

205 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ki‐Tae Kim South Korea 36 1.4k 1.0k 624 619 506 226 4.1k
Fei Ge China 38 1.2k 0.8× 587 0.6× 418 0.7× 743 1.2× 779 1.5× 156 5.3k
Xiangfeng Chen China 38 1.1k 0.8× 823 0.8× 720 1.2× 733 1.2× 279 0.6× 212 4.9k
Ligang Hu China 40 1.5k 1.1× 1.5k 1.4× 491 0.8× 787 1.3× 822 1.6× 228 5.2k
Valeria Marina Nurchi Italy 38 964 0.7× 877 0.9× 610 1.0× 923 1.5× 393 0.8× 159 6.0k
Mengyuan Zhang China 30 926 0.6× 1.1k 1.0× 280 0.4× 296 0.5× 502 1.0× 156 4.1k
Juying Li China 44 855 0.6× 1.2k 1.2× 500 0.8× 767 1.2× 2.2k 4.3× 162 5.6k
Yinfa Ma United States 42 1.7k 1.2× 705 0.7× 552 0.9× 1.2k 1.9× 513 1.0× 157 5.9k
Honglan Shi United States 33 695 0.5× 805 0.8× 198 0.3× 337 0.5× 780 1.5× 130 3.3k
Yuxi Gao China 42 1.7k 1.2× 2.2k 2.1× 280 0.4× 707 1.1× 1.3k 2.6× 158 5.9k
Yanan Zhang China 45 1.9k 1.4× 484 0.5× 279 0.4× 336 0.5× 1.1k 2.1× 270 5.9k

Countries citing papers authored by Ki‐Tae Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ki‐Tae Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki‐Tae Kim. 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 Ki‐Tae Kim. The network helps show where Ki‐Tae Kim may publish in the future.

Co-authorship network of co-authors of Ki‐Tae Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Ki‐Tae Kim. A scholar is included among the top collaborators of Ki‐Tae Kim 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 Ki‐Tae Kim. Ki‐Tae Kim 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.
Park, Jin Woo, et al.. (2025). Mixtures of polystyrene micro and nanoplastics affects fat and glucose metabolism in 3T3-L1 adipocytes and zebrafish larvae. NanoImpact. 37. 100549–100549. 4 indexed citations
2.
Lee, Jae Jun, et al.. (2024). Fast and easy detection of hypochlorite by a smartphone-based fluorescent turn-on probe: Applications to water samples, zebrafish and plant imaging. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 317. 124418–124418. 7 indexed citations
3.
Park, Soyeon, et al.. (2024). Easy and fast detection of S2− by a new benzothiazole-based fluorescent probe in environmental, biological and food systems. Journal of Molecular Liquids. 410. 125633–125633.
4.
Kim, Ki‐Tae, et al.. (2024). Highly selective dual-responsive chemosensor for S2- in pure water and its application to environmental samples such as beverage, zebrafish and food spoilage. Journal of environmental chemical engineering. 12(3). 112528–112528. 3 indexed citations
5.
6.
7.
Lee, Hyojin, Seong Soon Kim, Myung Ae Bae, et al.. (2023). Integrative multi-omics reveals analogous developmental neurotoxicity mechanisms between perfluorobutanesulfonic acid and perfluorooctanesulfonic acid in zebrafish. Journal of Hazardous Materials. 457. 131714–131714. 33 indexed citations
8.
Lee, Hyojin, et al.. (2023). Novel Time-Dependent Multi-Omics Integration in Sepsis-Associated Liver Dysfunction. Genomics Proteomics & Bioinformatics. 21(6). 1101–1116. 7 indexed citations
9.
Lee, Jae Jun, Dongju Yun, Mi Hee Lim, et al.. (2022). In vitro and vivo application of a rhodanine-based fluorescence sensor for detection and bioimaging of In3+ at neutral pH. Journal of Photochemistry and Photobiology A Chemistry. 434. 114249–114249. 8 indexed citations
10.
Lee, Ji‐Young, Ilseob Shim, Pilje Kim, et al.. (2021). Advantages of omics technology for evaluating cadmium toxicity in zebrafish. Toxicological Research. 37(4). 395–403. 8 indexed citations
11.
Lee, Hyojin, et al.. (2019). Global Proteomic Analysis of Lysine Succinylation in Zebrafish (Danio rerio). Journal of Proteome Research. 18(10). 3762–3769. 17 indexed citations
12.
Lee, Inae, Sunmi Kim, Ki‐Tae Kim, et al.. (2018). Bisphenol A exposure through receipt handling and its association with insulin resistance among female cashiers. Environment International. 117. 268–275. 35 indexed citations
13.
Kim, Ki‐Tae & Young Sik Kim. (2018). Effects of Sulfuric Acid Concentration and Alloying Elements on the Corrosion Resistance of Cu-bearing low Alloy Steels. Corrosion Science and Technology. 17(4). 154–165. 1 indexed citations
14.
Kim, Ki‐Tae, et al.. (2016). Migration of DEHP and DINP into dust from PVC flooring products at different surface temperature. The Science of The Total Environment. 547. 441–446. 57 indexed citations
15.
Lee, Sang-Woo, Cheol-Min Kim, Jungkon Kim, et al.. (2015). Cloning metallothionein gene in Zacco platypus and its potential as an exposure biomarker against cadmium. Environmental Monitoring and Assessment. 187(7). 447–447. 5 indexed citations
16.
Kim, Ki‐Tae, et al.. (2007). Effect of Psychosocial Resources in the relation between the Elderly's Stress and Depression. Korean Journal of Gerontological Social Welfare. 93–114. 1 indexed citations
17.
Kim, Ki‐Tae, et al.. (2007). Ecological Risk Assessment(ERA) of Abandoned Mine Drainage(AMD) in Korea Based on Vibrio fisheri, Selenastrum capricornutum, and Daphnia magna. Journal of Korean Society of Environmental Engineers. 29(2). 163–168. 2 indexed citations
18.
Kim, Young Soo, et al.. (2004). Clinical Characteristics and Risk Factors of Contrast Dye Nephrotoxicity in Patients Performing Arteriography. Kidney Research and Clinical Practice. 23(2). 248–255. 3 indexed citations
19.
Kim, Ki‐Tae. (2002). Corrosion of Commercially Pure Titanium in a Sea Water Electro-Chlorination Equipment. Corrosion Science and Technology. 1(5). 372–376. 1 indexed citations
20.
Kim, Ki‐Tae, et al.. (2000). Allosteric Properties of Hafnia alvei Aspartase by Nucleotide Effectors. BMB Reports. 33(5). 366–369. 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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