David Lee
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Microbial Metabolic Engineering and Bioproduction
Papers in
- Aging 1
-
- Genomics and Phylogenetic Studies 15
- Machine Learning in Bioinformatics 11
- RNA and protein synthesis mechanisms 7
- Protein Structure and Dynamics 6
- Bioinformatics and Genomic Networks 6
- Microbial Metabolic Engineering and Bioproduction 4
- Co-authors
- Christine OrengoOliver RedfernIan SillitoeNatalie L. DawsonJonathan LeesTony E. LewisSayoni DasPaul Ashford
- Journals
- Nucleic Acids Research (5 papers)American Scientist (3 papers)The Journal of Urology (2 papers)PROTEOMICS (2 papers)Optics Express (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
David Lee
73 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 174
- Molecular Biology 2.0k
- Complementary and Manual Therapy 51
- Biophysics 108
- Cell Biology 284
- Computational Theory and Mathematics 165
Countries citing papers authored by David Lee
This map shows the geographic impact of David 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 David Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lee more than expected).
Fields of papers citing papers by David Lee
This network shows the impact of papers produced by David 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 David Lee. The network helps show where David Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David 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 | 2024 | 0 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 53 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 5 | |
| 8 | 2017 | 124 | |
| 9 | 2015 | 45 | |
| 10 | 2012 | 171 | |
| 11 | 2011 | 50 | |
| 12 | 2011 | 13 | |
| 13 | Shokuiku: A holistic approach to healthy longevity and inheritance of dietary culture: highlights from the Shokuiku roundtable: foreign perspectives | 2010 | 2 |
| 14 | 2010 | 11 | |
| 15 | 2010 | 112 | |
| 16 | 2009 | 97 | |
| 17 | 2007 | 395 | |
| 18 | 2005 | 55 | |
| 19 | 1998 | 15 | |
| 20 | 1996 | 15 |
About David Lee
David Lee is a scholar working on Aging, Molecular Biology, Cell Biology, Biophysics and Pharmacy, having authored 76 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), Machine Learning in Bioinformatics (11 papers), RNA and protein synthesis mechanisms (7 papers), Protein Structure and Dynamics (6 papers), Bioinformatics and Genomic Networks (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Myofascial pain diagnosis and treatment (4 papers) and Enzyme Structure and Function (3 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Complementary and Manual Therapy (51 citations), Biophysics (108 citations), Cell Biology (284 citations) and Computational Theory and Mathematics (165 citations). David Lee has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Christine Orengo, Oliver Redfern, Ian Sillitoe, Natalie L. Dawson, Jonathan Lees, Tony E. Lewis, Sayoni Das, Paul Ashford, Kevin S. Gould and Janet M. Thornton. Their work appears in journals such as Nucleic Acids Research, American Scientist, The Journal of Urology, PROTEOMICS and Optics Express.
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.