Gregory M. Lee
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Ubiquitin and proteasome pathways
- DNA and Nucleic Acid Chemistry
-
- Computational Drug Discovery Methods
Papers in
- Virology 1
- Co-authors
- Charles S. CraikLawrence P. McIntoshHyun-Seo KangBarbara J. GravesMiles A. PufallMary L. NelsonLewis E. KayAlgirdas Vėlyvis
- Journals
- Biochemistry (4 papers)Science (2 papers)Journal of Molecular Biology (2 papers)Journal of the American Chemical Society (1 paper)Radiologic Clinics of North America (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Gregory M. Lee
20 papers receiving 939 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 728
- Computational Theory and Mathematics 66
- Virology 19
- Spectroscopy 62
- Oncology 101
Countries citing papers authored by Gregory M. Lee
This map shows the geographic impact of Gregory M. 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 Gregory M. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory M. Lee more than expected).
Fields of papers citing papers by Gregory M. Lee
This network shows the impact of papers produced by Gregory M. 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 Gregory M. Lee. The network helps show where Gregory M. Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregory M. 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 | 2023 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2022 | 7 | |
| 4 | 2022 | 3 | |
| 5 | 2019 | 43 | |
| 6 | 2016 | 10 | |
| 7 | 2014 | 13 | |
| 8 | 2012 | 81 | |
| 9 | 2012 | 13 | |
| 10 | 2011 | 29 | |
| 11 | 2010 | 90 | |
| 12 | 2010 | 58 | |
| 13 | 2009 | 57 | |
| 14 | 2009 | 127 | |
| 15 | 2008 | 52 | |
| 16 | 2007 | 32 | |
| 17 | 2007 | 4 | |
| 18 | 2005 | 209 | |
| 19 | 2005 | 86 | |
| 20 | 2002 | 19 |
About Gregory M. Lee
Gregory M. Lee is a scholar working on Virology, Critical Care and Intensive Care Medicine, Cell Biology, Molecular Biology and Epidemiology, having authored 21 papers that have together received 948 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (4 papers), Herpesvirus Infections and Treatments (3 papers), Heat shock proteins research (3 papers), Force Microscopy Techniques and Applications (2 papers), Biochemical and Molecular Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Molecular Biology (728 citations), Computational Theory and Mathematics (66 citations), Virology (19 citations), Spectroscopy (62 citations) and Oncology (101 citations). Gregory M. Lee has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Charles S. Craik, Lawrence P. McIntosh, Hyun-Seo Kang, Barbara J. Graves, Miles A. Pufall, Mary L. Nelson, Lewis E. Kay, Algirdas Vėlyvis, Logan W. Donaldson and Isabelle Pot. Their work appears in journals such as Biochemistry, Science, Journal of Molecular Biology, Journal of the American Chemical Society and Radiologic Clinics of North America.
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.