Daniel J. Purcell
Impact in
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- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Bone Metabolism and Diseases
- Genomics and Chromatin Dynamics
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
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- Bone health and treatments
Papers in
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- Cancer-related gene regulation 5
- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 3
- Bone Metabolism and Diseases 2
- Ubiquitin and proteasome pathways 1
- Genetics 2
- Estrogen and related hormone effects 2
- Co-authors
- Michael R. Stallcup (5 shared papers)Baruch Frenkel (3 shared papers)Sanjeev K. Baniwal (3 shared papers)Omar Khalid (3 shared papers)Gerhard A. Coetzee (2 shared papers)Danielle Bittencourt (2 shared papers)Yankel Gabet (2 shared papers)Kwang Won Jeong (2 shared papers)
- Journals
- Molecular Endocrinology (3 papers)Molecular Cancer (1 paper)Journal of Cellular Biochemistry (1 paper)Clinical Cancer Research (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel J. Purcell
9 papers receiving 502 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 336
- Oncology 122
- Nephrology 29
- Cancer Research 59
- Genetics 104
Countries citing papers authored by Daniel J. Purcell
This map shows the geographic impact of Daniel J. Purcell'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 Daniel J. Purcell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Purcell more than expected).
Fields of papers citing papers by Daniel J. Purcell
This network shows the impact of papers produced by Daniel J. Purcell. 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 Daniel J. Purcell. The network helps show where Daniel J. Purcell may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Purcell, 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 | 2010 | 142 | |
| 2 | 2008 | 77 | |
| 3 | 2011 | 68 | |
| 4 | 2012 | 53 | |
| 5 | 2012 | 44 | |
| 6 | 1983 | 42 | |
| 7 | 2007 | 40 | |
| 8 | 2004 | 39 | |
| 9 | 2015 | 11 |
About Daniel J. Purcell
Daniel J. Purcell is a scholar working on Molecular Biology, Genetics, Nephrology, Oncology and Infectious Diseases, having authored 9 papers that have together received 516 indexed citations. Recurring topics across this work include Cancer-related gene regulation (5 papers), Genomics and Chromatin Dynamics (3 papers), Epigenetics and DNA Methylation (3 papers), Estrogen and related hormone effects (2 papers), Bone Metabolism and Diseases (2 papers), Ubiquitin and proteasome pathways (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Acute Kidney Injury Research (1 paper). The work is most often cited by research in Molecular Biology (336 citations), Oncology (122 citations), Nephrology (29 citations), Cancer Research (59 citations) and Genetics (104 citations). Daniel J. Purcell has collaborated with scholars based in United States. Frequent co-authors include Michael R. Stallcup, Baruch Frenkel, Sanjeev K. Baniwal, Omar Khalid, Gerhard A. Coetzee, Danielle Bittencourt, Yankel Gabet, Kwang Won Jeong, Yunfan Shi and Daniel S. Gerke. Their work appears in journals such as Molecular Endocrinology, Molecular Cancer, Journal of Cellular Biochemistry, Clinical Cancer Research 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.