Scott Wick
Impact in
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- Cancer-related Molecular Pathways
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- Ubiquitin and proteasome pathways
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
Papers in
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- CRISPR and Genetic Engineering 3
- Advanced biosensing and bioanalysis techniques 2
- RNA and protein synthesis mechanisms 2
- Ubiquitin and proteasome pathways 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)Deborah H. Brotherton (1 shared paper)Emilio Parisini (1 shared paper)Peter J. Domaille (1 shared paper)Manuel Serrano (1 shared paper)Sharon J. Archer (1 shared paper)
- Journals
- Nanoscale (1 paper)Biochemistry (1 paper)ACS Synthetic Biology (1 paper)SLAS TECHNOLOGY (1 paper)Nature (1 paper)
- Partner nations
- United StatesSwedenSouth Korea
In The Last Decade
Scott Wick
12 papers receiving 435 citations
Peers
Comparison fields: 5 of 81
- Oncology 161
- Molecular Biology 271
- Cell Biology 62
- Cancer Research 32
- Biomedical Engineering 86
Countries citing papers authored by Scott Wick
This map shows the geographic impact of Scott 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 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 Wick more than expected).
Fields of papers citing papers by Scott Wick
This network shows the impact of papers produced by Scott 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 Wick. The network helps show where Scott Wick may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott 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 | 170 | |
| 2 | 2017 | 70 | |
| 3 | 2011 | 43 | |
| 4 | 2019 | 38 | |
| 5 | 1999 | 36 | |
| 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 | 2 | |
| 12 | 2022 | 2 |
About Scott Wick
Scott Wick is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Biotechnology and Infectious Diseases, having authored 12 papers that have together received 443 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), CRISPR and Genetic Engineering (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers), Ubiquitin and proteasome pathways (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers) and Electrowetting and Microfluidic Technologies (1 paper). The work is most often cited by research in Oncology (161 citations), Molecular Biology (271 citations), Cell Biology (62 citations), Cancer Research (32 citations) and Biomedical Engineering (86 citations). Scott Wick has collaborated with scholars based in United States, Sweden and South Korea. Frequent co-authors include Leonardo Brizuela, Peter A. Carr, Todd Thorsen, Deborah H. Brotherton, Emilio Parisini, Peter J. Domaille, Manuel Serrano, Sharon J. Archer, David S. Kong and Brian O. Smith. Their work appears in journals such as Nanoscale, Biochemistry, ACS Synthetic Biology, SLAS TECHNOLOGY and Nature.
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.