D. Dubik
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 5%
- Mitochondrial Function and Pathology
- Cell death mechanisms and regulation
- Ubiquitin and proteasome pathways
Papers in
-
- Cell death mechanisms and regulation 3
- Ubiquitin and proteasome pathways 2
- Glycosylation and Glycoproteins Research 1
- Genetics 5
- Estrogen and related hormone effects 5
- Co-authors
- Robert P. C. Shiu (7 shared papers)Jeannick Cizeau (3 shared papers)Christine Vande Velde (2 shared papers)Thomas C. Dembinski (1 shared paper)Sara J. Israels (1 shared paper)Judie B. Alimonti (1 shared paper)Thomas L. Brown (1 shared paper)Razqallah Hakem (1 shared paper)
In The Last Decade
D. Dubik
10 papers receiving 1.9k citations
D. Dubik's Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 318
- Molecular Biology 1.3k
- Oncology 428
- Genetics 452
- Epidemiology 419
Countries citing papers authored by D. Dubik
This map shows the geographic impact of D. Dubik'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 D. Dubik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Dubik more than expected).
Fields of papers citing papers by D. Dubik
This network shows the impact of papers produced by D. Dubik. 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 D. Dubik. The network helps show where D. Dubik may publish in the future.
Co-authors
The 24 scholars most cited alongside D. Dubik, 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 | BNIP3 and Genetic Control of Necrosis-Like Cell Death through the Mitochondrial Permeability Transition Pore Hit paper breakdown → | 2000 | 518 |
| 2 | 1997 | 281 | |
| 3 | 1999 | 264 | |
| 4 | Mechanism of estrogen activation of c-myc oncogene expression. | 1992 | 261 |
| 5 | Stimulation of c-myc oncogene expression associated with estrogen-induced proliferation of human breast cancer cells. | 1987 | 227 |
| 6 | 1988 | 152 | |
| 7 | Epidermal growth factor gene expression in human breast cancer cells: regulation of expression by progestins. | 1988 | 79 |
| 8 | 1993 | 75 | |
| 9 | 1993 | 42 | |
| 10 | 1996 | 3 |
About D. Dubik
D. Dubik is a scholar working on Molecular Biology, Genetics, Oncology, Epidemiology and Spectroscopy, having authored 10 papers that have together received 1.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Cell death mechanisms and regulation (3 papers), Cancer-related Molecular Pathways (2 papers), Ubiquitin and proteasome pathways (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Glycosylation and Glycoproteins Research (1 paper), Autophagy in Disease and Therapy (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Cancer Research (318 citations), Molecular Biology (1.3k citations), Oncology (428 citations), Genetics (452 citations) and Epidemiology (419 citations). D. Dubik has collaborated with scholars based in Canada and Ukraine. Frequent co-authors include Robert P. C. Shiu, Jeannick Cizeau, Christine Vande Velde, Thomas C. Dembinski, Sara J. Israels, Judie B. Alimonti, Thomas L. Brown, Razqallah Hakem, Harry B. Greenberg and Arnold H. Greenberg. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine, Clinical Chemistry, Cancer treatment and research and Molecular and Cellular Biology.
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.