Scott Lew
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Molecular Biology top 10%
- Lipid Membrane Structure and Behavior
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Enzyme Catalysis and Immobilization
- Chemical Synthesis and Analysis
- Microbial Metabolic Engineering and Bioproduction
Papers in
-
- Lipid Membrane Structure and Behavior 4
- Protein Structure and Dynamics 3
- Glycosylation and Glycoproteins Research 2
- RNA and protein synthesis mechanisms 2
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- Enzyme Structure and Function 5
- Co-authors
- Erwin London (5 shared papers)Jianhua Ren (3 shared papers)J. Seetharaman (12 shared papers)Zhiwei Wang (1 shared paper)Liang Tong (9 shared papers)Jiyao Wang (1 shared paper)F. Forouhar (6 shared papers)David Baker (3 shared papers)
- Journals
- Biochemistry (5 papers)ACS Chemical Biology (3 papers)Protein Science (2 papers)Analytical Biochemistry (1 paper)Nature Chemical Biology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Scott Lew
19 papers receiving 847 citations
Peers
Comparison fields: 5 of 84
- Biological Psychiatry 58
- Molecular Biology 697
- Microbiology 43
- Biochemistry 33
- Cell Biology 60
Countries citing papers authored by Scott Lew
This map shows the geographic impact of Scott Lew'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 Scott Lew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Lew more than expected).
Fields of papers citing papers by Scott Lew
This network shows the impact of papers produced by Scott Lew. 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 Scott Lew. The network helps show where Scott Lew may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Lew, 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 | 1997 | 154 | |
| 2 | 1999 | 99 | |
| 3 | 2013 | 95 | |
| 4 | 2016 | 86 | |
| 5 | 2013 | 80 | |
| 6 | 2014 | 70 | |
| 7 | 2013 | 42 | |
| 8 | 2018 | 37 | |
| 9 | 2000 | 33 | |
| 10 | 2003 | 28 | |
| 11 | 2014 | 22 | |
| 12 | 2014 | 21 | |
| 13 | 1997 | 19 | |
| 14 | 1998 | 18 | |
| 15 | 2010 | 17 | |
| 16 | 2012 | 12 | |
| 17 | 2010 | 12 | |
| 18 | 2012 | 8 | |
| 19 | 2016 | 4 |
About Scott Lew
Scott Lew is a scholar working on Molecular Biology, Materials Chemistry, Cellular and Molecular Neuroscience, Biomaterials and Biochemistry, having authored 19 papers that have together received 857 indexed citations. Recurring topics across this work include Enzyme Structure and Function (5 papers), Lipid Membrane Structure and Behavior (4 papers), Protein Structure and Dynamics (3 papers), Photoreceptor and optogenetics research (3 papers), Supramolecular Self-Assembly in Materials (3 papers), Click Chemistry and Applications (2 papers), Glycosylation and Glycoproteins Research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (58 citations), Molecular Biology (697 citations), Microbiology (43 citations), Biochemistry (33 citations) and Cell Biology (60 citations). Scott Lew has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Erwin London, Jianhua Ren, J. Seetharaman, Zhiwei Wang, Liang Tong, Jiyao Wang, F. Forouhar, David Baker, G.T. Montelione and J.F. Hunt. Their work appears in journals such as Biochemistry, ACS Chemical Biology, Protein Science, Analytical Biochemistry and Nature Chemical Biology.
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.