Simon A. Williams

1.2k citations
26 papers · 995 · h-index 15

Impact in

    • NF-κB Signaling Pathways
  • Oncology top 10%
    • Peptidase Inhibition and Analysis
    • Cancer-related Molecular Pathways

Papers in

    • Ubiquitin and proteasome pathways 3
    • Molecular Biology Techniques and Applications 2
    • Cancer-related Molecular Pathways 3
    • HER2/EGFR in Cancer Research 2

Simon A. Williams

26 papers receiving 971 citations

Peers

Simon A. Williams
Comparison fields: 5 of 90
  • Cancer Research 192
  • Oncology 344
  • Hematology 91
  • Molecular Biology 526
  • Genetics 61
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Citations per field
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Citations per year

Countries citing papers authored by Simon A. Williams

Since Specialization
Citations

This map shows the geographic impact of Simon A. Williams'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 Simon A. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon A. Williams more than expected).

Fields of papers citing papers by Simon A. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon A. Williams. 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 Simon A. Williams. The network helps show where Simon A. Williams may publish in the future.

Co-authors

The 25 scholars most cited alongside Simon A. Williams, 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 Simon A. Williams Line = papers co-authored together Simon A. Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Differential effects of the proteasome inhibitor bortezomib on apoptosis and angiogenesis in human prostate tumor xenografts.
2003137
2
Cyclooxygenase-2 is up-regulated by interleukin-1 beta in human colorectal cancer cells via multiple signaling pathways.
2003118
3 200594
4
The proteasome inhibitor bortezomib stabilizes a novel active form of p53 in human LNCaP-Pro5 prostate cancer cells.
200379
5 200678
6 198463
7 200763
8 200951
9 200745
10 201141
11 200640
12 200634
13 201029
14 201321
15 200719
16 201013
17 200712
18 201312
19 201312
20 200811

About Simon A. Williams

Simon A. Williams is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 995 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (6 papers), AI in cancer detection (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cancer-related Molecular Pathways (3 papers), Ubiquitin and proteasome pathways (3 papers), HER2/EGFR in Cancer Research (2 papers), Hepatitis B Virus Studies (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (192 citations), Oncology (344 citations), Hematology (91 citations), Molecular Biology (526 citations) and Genetics (61 citations). Simon A. Williams has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David J. McConkey, Samuel R. Denmeade, John T. Isaacs, Keyi Zhu, Christos N. Papandreou, Curtis A. Pettaway, Christopher J. Logothetis, Pratap Singh, Marissa Shrader and Laura M. Lashinger. Their work appears in journals such as The Prostate, Molecular Cancer Therapeutics, Pattern Recognition Letters, Cancer Research and Proteins Structure Function and Bioinformatics.

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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