Simon A. Williams

1.2k citations
30 papers · 1.1k · h-index 15

Impact in

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

Papers in

Simon A. Williams

30 papers receiving 1.0k citations

Peers

Simon A. Williams
Comparison fields: 5 of 92
  • Cancer Research 181
  • Oncology 317
  • Hematology 87
  • Molecular Biology 505
  • Genetics 54
Replace Jose Rafael Sierra with:
Jose Rafael Sierra United States
Tim P. Green United Kingdom
Marion Tina Weigel Germany
Mike F. Burbridge France
Nicole R. Murray United States
Huwate Yeerna United States
Frederick G Hofmann Switzerland
Zhenfang Du China
Fritz G. Buchanan United States
Arthur Groy United States
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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 30 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.
2003147
2
Cyclooxygenase-2 is up-regulated by interleukin-1 beta in human colorectal cancer cells via multiple signaling pathways.
2003124
3 200597
4
The proteasome inhibitor bortezomib stabilizes a novel active form of p53 in human LNCaP-Pro5 prostate cancer cells.
200385
5 200679
6 198469
7 200767
8 200960
9 200747
10 201142
11 200641
12 200640
13 201034
14 201324
15 200722
16 201015
17 200714
18 201313
19 201312
20 200811

About Simon A. Williams

Simon A. Williams is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Cancer-related Molecular Pathways (3 papers), Ubiquitin and proteasome pathways (3 papers), Image Retrieval and Classification Techniques (2 papers), Inflammatory mediators and NSAID effects (2 papers), HER2/EGFR in Cancer Research (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Cancer Research (181 citations), Oncology (317 citations), Hematology (87 citations), Molecular Biology (505 citations) and Genetics (54 citations). Simon A. Williams has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include David James McConkey, Samuel Ray Denmeade, John T. Isaacs, Keyi Zhu, Christopher J. Logothetis, Curtis Alvin Pettaway, Christos N. Papandreou, Pratap Singh, Murk J. Bottema and Laura M. Lashinger. Their work appears in journals such as The Prostate, Pattern Recognition Letters, Molecular Cancer Therapeutics, The Journal of Immunology and Pattern Recognition.

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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