Scott T. Wick
Impact in
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- Cancer-related Molecular Pathways
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- Ubiquitin and proteasome pathways
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
Papers in
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- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 2
- Ubiquitin and proteasome pathways 2
- Advanced biosensing and bioanalysis techniques 2
- Oncology 3
- Cancer-related Molecular Pathways 3
- Co-authors
- Leonardo Brizuela (3 shared papers)Peter A. Carr (7 shared papers)Todd Thorsen (3 shared papers)Peter J. Domaille (1 shared paper)Manuel Serrano (1 shared paper)Sharon J. Archer (1 shared paper)Stephen L. Brenner (1 shared paper)Tom L. Blundell (1 shared paper)
- Journals
- ACS Synthetic Biology (1 paper)Nature (1 paper)PLoS ONE (1 paper)SLAS TECHNOLOGY (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesSwedenSpain
In The Last Decade
Scott T. Wick
12 papers receiving 453 citations
Peers
Comparison fields: 5 of 87
- Oncology 165
- Molecular Biology 279
- Cell Biology 66
- Cancer Research 28
- Virology 9
Countries citing papers authored by Scott T. Wick
This map shows the geographic impact of Scott T. Wick'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 T. Wick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott T. Wick more than expected).
Fields of papers citing papers by Scott T. Wick
This network shows the impact of papers produced by Scott T. Wick. 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 T. Wick. The network helps show where Scott T. Wick may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott T. Wick, 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 | 1998 | 176 | |
| 2 | 2017 | 72 | |
| 3 | 2011 | 52 | |
| 4 | 2019 | 40 | |
| 5 | 1999 | 40 | |
| 6 | Biochemical and mutagenic analysis of the melanoma tumor suppressor gene product/p16. | 1995 | 31 |
| 7 | 2019 | 18 | |
| 8 | 2015 | 16 | |
| 9 | 2000 | 9 | |
| 10 | 2015 | 8 | |
| 11 | 2024 | 6 | |
| 12 | 2022 | 2 |
About Scott T. Wick
Scott T. Wick is a scholar working on Molecular Biology, Oncology, Biophysics, Biomedical Engineering and Biotechnology, having authored 12 papers that have together received 470 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Cancer-related Molecular Pathways (3 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), RNA and protein synthesis mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Advanced biosensing and bioanalysis techniques (2 papers) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Oncology (165 citations), Molecular Biology (279 citations), Cell Biology (66 citations), Cancer Research (28 citations) and Virology (9 citations). Scott T. Wick has collaborated with scholars based in United States, Sweden and Spain. Frequent co-authors include Leonardo Brizuela, Peter A. Carr, Todd Thorsen, Peter J. Domaille, Manuel Serrano, Sharon J. Archer, Stephen L. Brenner, Tom L. Blundell, Deborah H. Brotherton and David Sun Kong. Their work appears in journals such as ACS Synthetic Biology, Nature, PLoS ONE, SLAS TECHNOLOGY and Nature Biotechnology.
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.