Tony Dicker

828 citations
22 papers · 633 · h-index 15

Impact in

    • Cancer and Skin Lesions
  • Oncology top 10%
    • Cutaneous Melanoma Detection and Management
    • Cancer-related Molecular Pathways

Papers in

    • Cutaneous Melanoma Detection and Management 6
    • Cancer-related Molecular Pathways 5
    • Protein Degradation and Inhibitors 2
    • Melanoma and MAPK Pathways 2
    • Hedgehog Signaling Pathway Studies 2

Tony Dicker

21 papers receiving 616 citations

Peers

Tony Dicker
Comparison fields: 5 of 65
  • Dermatology 118
  • Oncology 253
  • Molecular Biology 402
  • Immunology and Allergy 32
  • Cell Biology 61
Replace Aimee L Leonard with:
Aimee L Leonard United States
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Citations per field
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Citations per year

Countries citing papers authored by Tony Dicker

Since Specialization
Citations

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

Fields of papers citing papers by Tony Dicker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tony Dicker. 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 Tony Dicker. The network helps show where Tony Dicker may publish in the future.

Co-authors

The 25 scholars most cited alongside Tony Dicker, 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 Tony Dicker Line = papers co-authored together Tony Dicker 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
Histone deacetylase inhibitors as potential anti-skin cancer agents.
1999121
2
Alterations in gene expression and activity during squamous cell carcinoma development.
200287
3 199973
4 199750
5 200035
6 199933
7 199930
8 200029
9 199824
10 199924
11 200219
12
E2F1 messenger RNA is destabilized in response to a growth inhibitor in normal human keratinocytes but not in a squamous carcinoma cell line.
199819
13 200218
14 200016
15 201514
16 199813
17 201010
18 20026
19 20225
20 20214

About Tony Dicker

Tony Dicker is a scholar working on Oncology, Molecular Biology, Epidemiology, Dermatology and Genetics, having authored 22 papers that have together received 633 indexed citations. Recurring topics across this work include Nonmelanoma Skin Cancer Studies (9 papers), Cutaneous Melanoma Detection and Management (6 papers), Cancer-related Molecular Pathways (5 papers), Cancer and Skin Lesions (4 papers), Protein Degradation and Inhibitors (2 papers), Melanoma and MAPK Pathways (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Skin and Cellular Biology Research (2 papers). The work is most often cited by research in Dermatology (118 citations), Oncology (253 citations), Molecular Biology (402 citations), Immunology and Allergy (32 citations) and Cell Biology (61 citations). Tony Dicker has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Nicholas A. Saunders, Alison Dahler, Steven J.M. Jones, Claudia Popa, Geoff Strutton, Susan Jones, Louise Smith, William B. Coman, J. C. Ng and Georgia Chenevix‐Trench. Their work appears in journals such as Australasian Journal of Dermatology, Journal of Cellular Physiology, Journal of Investigative Dermatology, British Journal of Dermatology and Journal of the American Academy of Dermatology.

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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