Scott Simanski

612 citations
22 papers · 500 · h-index 14

Impact in

    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • Chemical Synthesis and Analysis
    • Microtubule and mitosis dynamics

Papers in

    • Ubiquitin and proteasome pathways 11
    • Protein Degradation and Inhibitors 5
    • Chemical Synthesis and Analysis 3
    • Microtubule and mitosis dynamics 4
    • Cellular transport and secretion 2

Scott Simanski

20 papers receiving 494 citations

Peers

Scott Simanski
Comparison fields: 5 of 63
  • Molecular Biology 400
  • Cell Biology 78
  • Radiology, Nuclear Medicine and Imaging 83
  • Oncology 91
  • Hematology 26
Replace Geoffrey P. Dann with:
Geoffrey P. Dann United States
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Scott Simanski relative to Geoffrey P. Dann United States Geoffrey P. Dann's profile →
Citations per field
00.5×1.5×2.2×
Geoffrey P. Dann · 1×
Citations per year

Countries citing papers authored by Scott Simanski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Scott Simanski Line = papers co-authored together Scott Simanski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201677
2 201565
3 201456
4 201751
5 200738
6 200830
7 200625
8 201420
9 200919
10 201018
11 201618
12 202017
13 201814
14 201514
15 201413
16 201810
17 20208
18 20155
19
Table 2, Summary of Results
20131
20
Identification of Small Molecule Inhibitors of Wee1 Degradation and Mitotic Entry
20131

About Scott Simanski

Scott Simanski is a scholar working on Molecular Biology, Cell Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Genetics, having authored 22 papers that have together received 500 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (11 papers), Protein Degradation and Inhibitors (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Microtubule and mitosis dynamics (4 papers), Diabetes and associated disorders (3 papers), Cancer-related Molecular Pathways (3 papers), Chemical Synthesis and Analysis (3 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Molecular Biology (400 citations), Cell Biology (78 citations), Radiology, Nuclear Medicine and Imaging (83 citations), Oncology (91 citations) and Hematology (26 citations). Scott Simanski has collaborated with scholars based in United States, New Zealand and Australia. Frequent co-authors include Thomas Kodadek, Darci J. Trader, Todd M. Doran, Nagi G. Ayad, Anthony M. Smith, Shwu‐Yuan Wu, A-Young Lee, Cheng‐Ming Chiang, Dawn Sijin Nin and Yu Gao. Their work appears in journals such as Cell chemical biology, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters, Cell Cycle and ACS 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.

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