David T. Dicker

6.6k citations
125 papers · 5.1k · h-index 41

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Oncology top 1%
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis

Papers in

    • Cell death mechanisms and regulation 41
    • Ubiquitin and proteasome pathways 7
    • Cancer therapeutics and mechanisms 7
    • Cancer-related Molecular Pathways 40
    • Cancer Cells and Metastasis 18

David T. Dicker

120 papers receiving 5.0k citations

Peers

David T. Dicker
Comparison fields: 5 of 134
  • Cancer Research 1.1k
  • Oncology 1.8k
  • Molecular Biology 3.3k
  • Biotechnology 339
  • Cell Biology 470
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Adly Yacoub United States
Jeffrey E. Green United States
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Citations per field
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Citations per year

Countries citing papers authored by David T. Dicker

Since Specialization
Citations

This map shows the geographic impact of David T. 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 David T. Dicker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David T. Dicker more than expected).

Fields of papers citing papers by David T. Dicker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013255
2 2007218
3 2004198
4 2004197
5 2004193
6 2003183
7 2016156
8
Bax is a transcriptional target and mediator of c-myc-induced apoptosis.
2000132
9 2007118
10 2013116
11 2015116
12
The caspase 9 inhibitor Z-LEHD-FMK protects human liver cells while permitting death of cancer cells exposed to tumor necrosis factor-related apoptosis-inducing ligand.
2000110
13 2002106
14 2005100
15 200699
16 201796
17 200093
18 201591
19 200891
20 201385

About David T. Dicker

David T. Dicker is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Biotechnology, having authored 125 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (41 papers), Cancer-related Molecular Pathways (40 papers), Cancer Cells and Metastasis (18 papers), interferon and immune responses (13 papers), Cancer Research and Treatments (13 papers), Cancer, Hypoxia, and Metabolism (12 papers), Ubiquitin and proteasome pathways (7 papers) and Cancer therapeutics and mechanisms (7 papers). The work is most often cited by research in Cancer Research (1.1k citations), Oncology (1.8k citations), Molecular Biology (3.3k citations), Biotechnology (339 citations) and Cell Biology (470 citations). David T. Dicker has collaborated with scholars based in United States, India and France. Frequent co-authors include Wafik S. El‐Deiry, Joshua E. Allen, Zhaoyu Jin, Wenge Wang, Varun V. Prabhu, Timothy F. Burns, Nathan G. Dolloff, Kimberly A. Scata, E. Robert McDonald and M. Ricci. Their work appears in journals such as Cancer Research, Cancer Biology & Therapy, Cell Cycle, Oncotarget and Journal of Biological Chemistry.

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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