David T. Dicker
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism 12
- Cancer Genomics and Diagnostics 10
- Oncology top 1%
- Cancer-related Molecular Pathways 41
- Cancer Cells and Metastasis 18
- Molecular Biology top 2%
- Cell death mechanisms and regulation 42
- Cancer therapeutics and mechanisms 7
- Biotechnology top 1%
- Cancer Research and Treatments 14
- Cell Biology top 2%
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- interferon and immune responses 13
- Co-authors
- Wafik S. El‐DeiryJoshua E. AllenZhaoyu JinWenge WangVarun V. PrabhuTimothy F. BurnsNathan G. DolloffKimberly A. Scata
- Partner nations
- United StatesIndiaFrance
In The Last Decade
David T. Dicker
120 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 137
- Cancer Research 1.2k
- Oncology 1.9k
- Molecular Biology 3.5k
- Biotechnology 382
- Cell Biology 490
Countries citing papers authored by David T. Dicker
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 13 | |
| 2 | 2018 | 22 | |
| 3 | 2017 | 44 | |
| 4 | 2017 | 38 | |
| 5 | 2016 | 49 | |
| 6 | 2016 | 35 | |
| 7 | 2016 | 18 | |
| 8 | 2015 | 92 | |
| 9 | 2015 | 35 | |
| 10 | 2015 | 113 | |
| 11 | 2014 | 15 | |
| 12 | 2013 | 69 | |
| 13 | 2012 | 25 | |
| 14 | 2012 | 12 | |
| 15 | 2011 | 27 | |
| 16 | 2011 | 3 | |
| 17 | 2007 | 118 | |
| 18 | 2007 | 3 | |
| 19 | 2005 | 68 | |
| 20 | 1998 | 9 |
About David T. Dicker
David T. Dicker is a scholar working on Oncology, Cancer Research, Biotechnology, Molecular Biology and Applied Microbiology 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 (42 papers), Cancer-related Molecular Pathways (41 papers), Cancer Cells and Metastasis (18 papers), Cancer Research and Treatments (14 papers), interferon and immune responses (13 papers), Cancer, Hypoxia, and Metabolism (12 papers), Cancer Genomics and Diagnostics (10 papers) and Cancer therapeutics and mechanisms (7 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.9k citations), Molecular Biology (3.5k citations), Biotechnology (382 citations) and Cell Biology (490 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, Journal of Biological Chemistry and Oncotarget.
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.