Tony Dicker

832 citations
22 papers · 667 · h-index 15

Impact in

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

Papers in

    • Ubiquitin and proteasome pathways 2
    • Protein Degradation and Inhibitors 2
    • Retinoids in leukemia and cellular processes 2
    • Hedgehog Signaling Pathway Studies 2
    • Cancer-related Molecular Pathways 5
    • Cutaneous Melanoma Detection and Management 4

Tony Dicker

21 papers receiving 638 citations

Peers

Tony Dicker
Comparison fields: 5 of 64
  • Dermatology 98
  • Oncology 238
  • Molecular Biology 372
  • Immunology and Allergy 23
  • Cancer Research 55
Replace Aimee L Leonard with:
Aimee L Leonard United States
Kristian Otkjær Denmark
James A. Thompson 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.
200291
3 199982
4 199751
5 199941
6 200035
7 200033
8 199930
9 199824
10 199923
11 200222
12 200221
13
E2F1 messenger RNA is destabilized in response to a growth inhibitor in normal human keratinocytes but not in a squamous carcinoma cell line.
199820
14 200017
15 199814
16 201514
17 201010
18 20026
19 20225
20 20214

About Tony Dicker

Tony Dicker is a scholar working on Molecular Biology, Oncology, Epidemiology, Dermatology and Genetics, having authored 22 papers that have together received 667 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Nonmelanoma Skin Cancer Studies (5 papers), Cutaneous Melanoma Detection and Management (4 papers), Cancer and Skin Lesions (3 papers), Ubiquitin and proteasome pathways (2 papers), Protein Degradation and Inhibitors (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Dermatology (98 citations), Oncology (238 citations), Molecular Biology (372 citations), Immunology and Allergy (23 citations) and Cancer Research (55 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, Louise Smith, Susan Jones, William B. Coman, Waranya Boonchai and J. C. Ng. Their work appears in journals such as Australasian Journal of Dermatology, British Journal of Dermatology, Journal of Cellular Physiology, Journal of Investigative 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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