Daniel G. Lee
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
- Vibrio bacteria research studies
Papers in
-
- Bacterial biofilms and quorum sensing 6
- DNA Repair Mechanisms 2
- DNA and Nucleic Acid Chemistry 1
- Fungal and yeast genetics research 1
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- Antibiotic Resistance in Bacteria 2
- Co-authors
- Frederick M. Ausubel (5 shared papers)Jonathan M. Urbach (5 shared papers)Nicole T. Liberati (5 shared papers)Sachiko Miyata (4 shared papers)Stephen P. Bell (2 shared papers)Gang Wu (3 shared papers)Eliana Drenkard (1 shared paper)Tao Wei (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The Journal of Immunology (1 paper)Molecular and Cellular Biology (1 paper)Genome biology (1 paper)Perfusion (1 paper)
- Partner nations
- United StatesBelgiumJapan
In The Last Decade
Daniel G. Lee
10 papers receiving 2.3k citations
Daniel G. Lee's Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Medicine 600
- Endocrinology 413
- Microbiology 175
- Genetics 730
- Molecular Biology 1.8k
Countries citing papers authored by Daniel G. Lee
This map shows the geographic impact of Daniel G. 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 Daniel G. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Lee more than expected).
Fields of papers citing papers by Daniel G. Lee
This network shows the impact of papers produced by Daniel G. 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 Daniel G. Lee. The network helps show where Daniel G. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel G. 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
| # | Work | ||
|---|---|---|---|
| 1 | An ordered, nonredundant library of Pseudomonas aeruginosa strain PA14 transposon insertion mutants Hit paper breakdown → | 2006 | 791 |
| 2 | 2006 | 470 | |
| 3 | 2006 | 457 | |
| 4 | 2005 | 196 | |
| 5 | 1997 | 175 | |
| 6 | 2000 | 102 | |
| 7 | 2006 | 76 | |
| 8 | 2008 | 12 | |
| 9 | 2018 | 9 | |
| 10 | 2023 | 4 |
About Daniel G. Lee
Daniel G. Lee is a scholar working on Molecular Biology, Molecular Medicine, Genetics, Critical Care and Intensive Care Medicine and Neurology, having authored 10 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (6 papers), DNA Repair Mechanisms (2 papers), Bacterial Genetics and Biotechnology (2 papers), Antibiotic Resistance in Bacteria (2 papers), Orthodontics and Dentofacial Orthopedics (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Fungal and yeast genetics research (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Molecular Medicine (600 citations), Endocrinology (413 citations), Microbiology (175 citations), Genetics (730 citations) and Molecular Biology (1.8k citations). Daniel G. Lee has collaborated with scholars based in United States, Belgium and Japan. Frequent co-authors include Frederick M. Ausubel, Jonathan M. Urbach, Nicole T. Liberati, Sachiko Miyata, Stephen P. Bell, Gang Wu, Eliana Drenkard, Tao Wei, Vincent T. Lee and Yoshihiro Hayakawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology, Molecular and Cellular Biology, Genome biology and Perfusion.
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.