Scott Simanski
Impact in
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- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Chemical Synthesis and Analysis
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- Microtubule and mitosis dynamics
Papers in ⓘ
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- Ubiquitin and proteasome pathways 11
- Protein Degradation and Inhibitors 6
- Chemical Synthesis and Analysis 3
- CRISPR and Genetic Engineering 2
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- Microtubule and mitosis dynamics 4
- Co-authors
- Thomas Kodadek (12 shared papers)Darci J. Trader (2 shared papers)Todd M. Doran (5 shared papers)Nagi G. Ayad (4 shared papers)Anthony M. Smith (3 shared papers)Dawn Sijin Nin (1 shared paper)A-Young Lee (1 shared paper)Shwu‐Yuan Wu (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Cell chemical biology (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Cell Cycle (2 papers)SLAS DISCOVERY (1 paper)
- Partner nations
- United StatesAustraliaNew Zealand
In The Last Decade
Scott Simanski
20 papers receiving 481 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 400
- Cell Biology 79
- Oncology 95
- Radiology, Nuclear Medicine and Imaging 79
- Hematology 28
Countries citing papers authored by Scott Simanski
This map shows the geographic impact of Scott Simanski'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 Simanski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Simanski more than expected).
Fields of papers citing papers by Scott Simanski
This network shows the impact of papers produced by Scott Simanski. 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 Simanski. The network helps show where Scott Simanski may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott Simanski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 77 | |
| 2 | 2015 | 64 | |
| 3 | 2014 | 56 | |
| 4 | 2017 | 50 | |
| 5 | 2007 | 37 | |
| 6 | 2008 | 30 | |
| 7 | 2006 | 22 | |
| 8 | 2014 | 19 | |
| 9 | 2009 | 19 | |
| 10 | 2010 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2016 | 16 | |
| 13 | 2018 | 14 | |
| 14 | 2014 | 13 | |
| 15 | 2015 | 12 | |
| 16 | 2018 | 10 | |
| 17 | 2020 | 8 | |
| 18 | 2015 | 5 | |
| 19 | Table 2, Summary of Results | 2013 | 1 |
| 20 | Identification of Small Molecule Inhibitors of Wee1 Degradation and Mitotic Entry | 2013 | 1 |
About Scott Simanski
Scott Simanski is a scholar working on Molecular Biology, Cell Biology, Radiology, Nuclear Medicine and Imaging, Genetics and Oncology, having authored 22 papers that have together received 487 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (11 papers), Protein Degradation and Inhibitors (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Microtubule and mitosis dynamics (4 papers), Diabetes and associated disorders (3 papers), Chemical Synthesis and Analysis (3 papers), Cancer-related Molecular Pathways (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Biology (400 citations), Cell Biology (79 citations), Oncology (95 citations), Radiology, Nuclear Medicine and Imaging (79 citations) and Hematology (28 citations). Scott Simanski has collaborated with scholars based in United States, Australia and New Zealand. Frequent co-authors include Thomas Kodadek, Darci J. Trader, Todd M. Doran, Nagi G. Ayad, Anthony M. Smith, Dawn Sijin Nin, A-Young Lee, Shwu‐Yuan Wu, Cheng‐Ming Chiang and Yu Gao. Their work appears in journals such as Journal of Biological Chemistry, Cell chemical biology, Bioorganic & Medicinal Chemistry Letters, Cell Cycle and SLAS DISCOVERY.
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.