Do-Hoon Lee
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Pollution top 10%
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
-
- Genomics and Phylogenetic Studies 4
- Co-authors
- Chang‐Jun Cha (8 shared papers)Dae‐Wi Kim (5 shared papers)Ilsoo Yun (2 shared papers)Byungkyu Park (2 shared papers)Kihyun Lee (3 shared papers)Hwan-Gue Cho (5 shared papers)Elizabeth M. H. Wellington (2 shared papers)Yong-Seok Kim (4 shared papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (3 papers)Microbiome (2 papers)The Journal of Microbiology (2 papers)The American Journal of Chinese Medicine (1 paper)mSystems (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Do-Hoon Lee
29 papers receiving 502 citations
Peers
Comparison fields: 5 of 112
- Molecular Medicine 71
- Pollution 149
- Applied Microbiology and Biotechnology 19
- Transportation 47
- Computer Graphics and Computer-Aided Design 25
Countries citing papers authored by Do-Hoon Lee
This map shows the geographic impact of Do-Hoon Lee'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 Do-Hoon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Do-Hoon Lee more than expected).
Fields of papers citing papers by Do-Hoon Lee
This network shows the impact of papers produced by Do-Hoon Lee. 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 Do-Hoon Lee. The network helps show where Do-Hoon Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Do-Hoon Lee, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 116 | |
| 2 | 2012 | 75 | |
| 3 | 2004 | 41 | |
| 4 | 2021 | 35 | |
| 5 | 2020 | 28 | |
| 6 | 2004 | 27 | |
| 7 | 2018 | 24 | |
| 8 | Real-time animation technique for flexible and thin objects | 2000 | 23 |
| 9 | 2023 | 19 | |
| 10 | 2013 | 18 | |
| 11 | 2022 | 18 | |
| 12 | 1998 | 15 | |
| 13 | 2017 | 11 | |
| 14 | 2008 | 8 | |
| 15 | 2016 | 8 | |
| 16 | 2011 | 7 | |
| 17 | 2014 | 6 | |
| 18 | 2007 | 6 | |
| 19 | 2008 | 5 | |
| 20 | 2020 | 5 |
About Do-Hoon Lee
Do-Hoon Lee is a scholar working on Molecular Biology, Control and Systems Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications and Pharmacology, having authored 35 papers that have together received 525 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Handwritten Text Recognition Techniques (3 papers), Traffic Prediction and Management Techniques (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Transportation Planning and Optimization (2 papers), Antibiotic Resistance in Bacteria (2 papers), Healthcare and Venom Research (2 papers) and Hand Gesture Recognition Systems (2 papers). The work is most often cited by research in Molecular Medicine (71 citations), Pollution (149 citations), Applied Microbiology and Biotechnology (19 citations), Transportation (47 citations) and Computer Graphics and Computer-Aided Design (25 citations). Do-Hoon Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Chang‐Jun Cha, Dae‐Wi Kim, Ilsoo Yun, Byungkyu Park, Kihyun Lee, Hwan-Gue Cho, Elizabeth M. H. Wellington, Yong-Seok Kim, Christopher Quince and Hoon Je Seong. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Microbiome, The Journal of Microbiology, The American Journal of Chinese Medicine and mSystems.
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.