Dae‐Wi Kim
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Pollution top 2%
- Pharmaceutical and Antibiotic Environmental Impacts
- Microbial bioremediation and biosurfactants
Papers in
-
- Genomics and Phylogenetic Studies 6
- Microbial Metabolic Engineering and Bioproduction 5
- Gut microbiota and health 4
- Biochemical and Molecular Research 3
-
- Antibiotic Resistance in Bacteria 17
- Co-authors
- Chang‐Jun Cha (12 shared papers)Kihyun Lee (7 shared papers)Keith Chater (4 shared papers)Elizabeth M. H. Wellington (3 shared papers)Andrew Hesketh (3 shared papers)Do-Hoon Lee (5 shared papers)Hang‐Yeon Weon (4 shared papers)Carl E. Cerniglia (3 shared papers)
- Journals
- Journal of Bacteriology (4 papers)Applied and Environmental Microbiology (3 papers)The Journal of Microbiology (3 papers)Annals of Oncology (2 papers)Microbiome (2 papers)
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Dae‐Wi Kim
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Molecular Medicine 245
- Pollution 552
- Applied Microbiology and Biotechnology 66
- Pharmacology 205
- Health, Toxicology and Mutagenesis 115
Countries citing papers authored by Dae‐Wi Kim
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
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-authors
The 25 scholars most cited alongside Dae‐Wi Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 208 | |
| 2 | 2020 | 110 | |
| 3 | 2011 | 101 | |
| 4 | 2008 | 83 | |
| 5 | 2019 | 81 | |
| 6 | 2005 | 55 | |
| 7 | 2011 | 52 | |
| 8 | 2012 | 45 | |
| 9 | 2017 | 39 | |
| 10 | 2005 | 33 | |
| 11 | 2015 | 33 | |
| 12 | 2021 | 32 | |
| 13 | 2022 | 31 | |
| 14 | 2007 | 30 | |
| 15 | 2012 | 30 | |
| 16 | 2014 | 27 | |
| 17 | 2008 | 27 | |
| 18 | 2018 | 23 | |
| 19 | 2020 | 22 | |
| 20 | 2008 | 22 |
About Dae‐Wi Kim
Dae‐Wi Kim is a scholar working on Molecular Biology, Molecular Medicine, Pollution, Pharmacology and Organic Chemistry, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (17 papers), Pharmaceutical and Antibiotic Environmental Impacts (11 papers), Microbial Natural Products and Biosynthesis (10 papers), Genomics and Phylogenetic Studies (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers), Microbial bioremediation and biosurfactants (4 papers), Gut microbiota and health (4 papers) and Biochemical and Molecular Research (3 papers). The work is most often cited by research in Molecular Medicine (245 citations), Pollution (552 citations), Applied Microbiology and Biotechnology (66 citations), Pharmacology (205 citations) and Health, Toxicology and Mutagenesis (115 citations). Dae‐Wi Kim has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Chang‐Jun Cha, Kihyun Lee, Keith Chater, Elizabeth M. H. Wellington, Andrew Hesketh, Do-Hoon Lee, Hang‐Yeon Weon, Carl E. Cerniglia, Seong-Jae Kim and Li‐Rong Yu. Their work appears in journals such as Journal of Bacteriology, Applied and Environmental Microbiology, The Journal of Microbiology, Annals of Oncology and Microbiome.
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.