Dae‐Wi Kim

1.7k total citations
43 papers, 1.2k citations indexed

About

Dae‐Wi Kim is a scholar working on Molecular Biology, Molecular Medicine and Pollution. According to data from OpenAlex, Dae‐Wi Kim has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 18 papers in Molecular Medicine and 16 papers in Pollution. Recurrent topics in Dae‐Wi Kim's work include Antibiotic Resistance in Bacteria (17 papers), Pharmaceutical and Antibiotic Environmental Impacts (11 papers) and Microbial Natural Products and Biosynthesis (10 papers). Dae‐Wi Kim is often cited by papers focused on Antibiotic Resistance in Bacteria (17 papers), Pharmaceutical and Antibiotic Environmental Impacts (11 papers) and Microbial Natural Products and Biosynthesis (10 papers). Dae‐Wi Kim collaborates with scholars based in South Korea, United Kingdom and United States. Dae‐Wi Kim's co-authors include Chang‐Jun Cha, Kihyun Lee, Keith Chater, Elizabeth M. H. Wellington, Andrew Hesketh, Do-Hoon Lee, Hang‐Yeon Weon, Seong-Jae Kim, Carl E. Cerniglia and Li‐Rong Yu and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Water Research.

In The Last Decade

Dae‐Wi Kim

39 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dae‐Wi Kim South Korea 21 552 466 245 205 153 43 1.2k
Hai Xu China 22 572 1.0× 609 1.3× 477 1.9× 101 0.5× 154 1.0× 72 1.6k
Ruicheng Wei China 19 686 1.2× 317 0.7× 196 0.8× 161 0.8× 164 1.1× 33 1.6k
Gregory C. A. Amos United Kingdom 16 516 0.9× 627 1.3× 430 1.8× 215 1.0× 217 1.4× 28 1.3k
Magdy A. Amin Egypt 26 252 0.5× 580 1.2× 358 1.5× 160 0.8× 66 0.4× 73 1.8k
Parjit Kaur United States 11 222 0.4× 484 1.0× 320 1.3× 138 0.7× 115 0.8× 16 1.1k
Yuqian Jia China 19 324 0.6× 516 1.1× 474 1.9× 137 0.7× 90 0.6× 25 1.2k
Xiaolong Wang China 22 703 1.3× 441 0.9× 404 1.6× 68 0.3× 189 1.2× 62 1.4k
Snehali Majumder Ireland 8 552 1.0× 426 0.9× 540 2.2× 66 0.3× 279 1.8× 15 1.3k
Sha Cao Sweden 14 760 1.4× 504 1.1× 795 3.2× 314 1.5× 216 1.4× 37 1.8k
Hideaki Maseda Japan 24 246 0.4× 863 1.9× 519 2.1× 165 0.8× 288 1.9× 71 1.8k

Countries citing papers authored by Dae‐Wi Kim

Since Specialization
Citations

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

Fields of papers citing papers by Dae‐Wi Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae‐Wi Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dae‐Wi Kim. A scholar is included among the top collaborators of Dae‐Wi 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 Dae‐Wi Kim. Dae‐Wi 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.
Kim, Sang‐Gyu, Bo‐Eun Kim, Jung Hun Lee, & Dae‐Wi Kim. (2024). Novel Qnr Families as Conserved and Intrinsic Quinolone Resistance Determinants in Aeromonas spp.. Journal of Microbiology and Biotechnology. 34(6). 1276–1286.
2.
Lee, Jung Hun, et al.. (2024). Comparative Genomic Analyses of E. coli ST2178 Strains Originated from Wild Birds in Pakistan. Journal of Microbiology and Biotechnology. 34(10). 2041–2048. 1 indexed citations
3.
4.
Lee, Jung Hun, et al.. (2024). Elucidation of critical chemical moieties of metallo-β-lactamase inhibitors and prioritisation of target metallo-β-lactamases. Journal of Enzyme Inhibition and Medicinal Chemistry. 39(1). 2318830–2318830.
5.
Lee, Jung Hun, et al.. (2024). Complete genome sequence of a high-risk Escherichia coli ST10 isolated from avian feces in Pakistan. Microbiology Resource Announcements. 13(11). e0076924–e0076924.
6.
Lee, Jung Hun, et al.. (2023). Prioritization of Critical Factors for Surveillance of the Dissemination of Antibiotic Resistance in Pseudomonas aeruginosa: A Systematic Review. International Journal of Molecular Sciences. 24(20). 15209–15209. 10 indexed citations
7.
Lee, Do-Hoon, Dae‐Wi Kim, Kihyun Lee, et al.. (2022). Colistin-degrading proteases confer collective resistance to microbial communities during polymicrobial infections. Microbiome. 10(1). 129–129. 15 indexed citations
8.
Kim, Dae‐Wi, Jae-Hyung Ahn, & Chang‐Jun Cha. (2022). Biodegradation of plastics: mining of plastic-degrading microorganisms and enzymes using metagenomics approaches. The Journal of Microbiology. 60(10). 969–976. 31 indexed citations
9.
Borsetto, Chiara, Sébastien Raguideau, Emma R. Travis, et al.. (2021). Impact of sulfamethoxazole on a riverine microbiome. Water Research. 201. 117382–117382. 32 indexed citations
10.
Nieuwland, Jeroen, Sandra Esteves, Do-Hoon Lee, et al.. (2020). Fate of antibiotic resistant E. coli and antibiotic resistance genes during full scale conventional and advanced anaerobic digestion of sewage sludge. PLoS ONE. 15(12). e0237283–e0237283. 22 indexed citations
11.
12.
Choi, Jong Hoon, et al.. (2017). Influence of dietary avilamycin on ileal and cecal microbiota in broiler chickens. Poultry Science. 97(3). 970–979. 39 indexed citations
13.
14.
Kim, Hyung‐Kwan, Jin‐Wou Kim, Dae‐Wi Kim, et al.. (2009). A fully validated HPLC method for the simultaneous determination of acitretin and etretinate in plasma and its application to a pharmacokinetic study in healthy Korean subjects. International Journal of Clinical Pharmacology and Therapeutics. 47(7). 476–482. 1 indexed citations
15.
Kim, Dae‐Wi, Kelvin H. Lee, Yoon Jun Kim, et al.. (2008). High tumour islet macrophage infiltration correlates with improved patient survival but not with EGFR mutations, gene copy number or protein expression in resected non-small cell lung cancer. British Journal of Cancer. 98(6). 1118–1124. 83 indexed citations
16.
Kim, Dae‐Wi, Andrew Hesketh, Eun Sook Kim, et al.. (2008). Complex extracellular interactions of proteases and a protease inhibitor influence multicellular development of Streptomyces coelicolor. Molecular Microbiology. 70(5). 1180–1193. 22 indexed citations
17.
Song, Ju Yeon, Eun-Sook Kim, Dae‐Wi Kim, Susan E. Jensen, & Kye Joon Lee. (2008). A gene located downstream of the clavulanic acid gene cluster in Streptomyces clavuligerus ATCC 27064 encodes a putative response regulator that affects clavulanic acid production. Journal of Industrial Microbiology & Biotechnology. 36(2). 301–311. 13 indexed citations
18.
Li, Dong, Dong‐Ryeol Ryu, Jihun Choi, et al.. (2007). Development of cyclosporin A-loaded hyaluronic microsphere with enhanced oral bioavailability. International Journal of Pharmaceutics. 345(1-2). 134–141. 30 indexed citations
19.
Kim, Dae‐Wi, et al.. (2006). Proteases and Protease Inhibitors Produced in Streptomycetes and Their Roles in Morphological Differentiation. Journal of Microbiology and Biotechnology. 16(1). 5–14. 11 indexed citations
20.
Kim, Dae‐Wi. (2004). Dissemination of Escherichia coli producing AmpC-type ?-lactamase (CMY-11) in Korea. International Journal of Antimicrobial Agents. 24(4). 320–326. 7 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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