D A E Parolin
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
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- Colorectal Cancer Treatments and Studies
- Cancer-related Molecular Pathways
Papers in
-
- Melanoma and MAPK Pathways 3
- Protein Kinase Regulation and GTPase Signaling 3
- PI3K/AKT/mTOR signaling in cancer 3
- Retinoids in leukemia and cellular processes 2
- Oncology 5
- Cancer-related Molecular Pathways 3
- HER2/EGFR in Cancer Research 2
- Co-authors
- Ian A.J. Lorimer (10 shared papers)R. Mitchell Baldwin (3 shared papers)Eijiro Nakamura (1 shared paper)Lakshman Gunaratnam (1 shared paper)Karim Mekhail (1 shared paper)Stephen Lee (1 shared paper)Aleksandra Franovic (1 shared paper)John F. Kelly (1 shared paper)
In The Last Decade
D A E Parolin
12 papers receiving 466 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 161
- Oncology 144
- Molecular Biology 308
- Pulmonary and Respiratory Medicine 119
- Genetics 36
Countries citing papers authored by D A E Parolin
This map shows the geographic impact of D A E Parolin'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 A E Parolin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D A E Parolin more than expected).
Fields of papers citing papers by D A E Parolin
This network shows the impact of papers produced by D A E Parolin. 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 A E Parolin. The network helps show where D A E Parolin may publish in the future.
Co-authors
The 25 scholars most cited alongside D A E Parolin, 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 | 2003 | 150 | |
| 2 | 2003 | 58 | |
| 3 | 2005 | 55 | |
| 4 | A pharmacodynamic study of the epidermal growth factor receptor tyrosine kinase inhibitor ZD1839 in metastatic colorectal cancer patients. | 2003 | 48 |
| 5 | 2008 | 47 | |
| 6 | 2005 | 35 | |
| 7 | 2013 | 26 | |
| 8 | 2011 | 24 | |
| 9 | 2010 | 20 | |
| 10 | 2015 | 8 | |
| 11 | 2012 | 3 | |
| 12 | Induction of apoptosis in glioblastoma cells by an atypical protein kinase C pseudosubstrate peptide. | 2002 | 1 |
About D A E Parolin
D A E Parolin is a scholar working on Molecular Biology, Oncology, Cancer Research, Physiology and Surgery, having authored 12 papers that have together received 475 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Melanoma and MAPK Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), HER2/EGFR in Cancer Research (2 papers), Retinoids in leukemia and cellular processes (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Cancer Research (161 citations), Oncology (144 citations), Molecular Biology (308 citations), Pulmonary and Respiratory Medicine (119 citations) and Genetics (36 citations). D A E Parolin has collaborated with scholars based in Canada, Japan and France. Frequent co-authors include Ian A.J. Lorimer, R. Mitchell Baldwin, Eijiro Nakamura, Lakshman Gunaratnam, Karim Mekhail, Stephen Lee, Aleksandra Franovic, John F. Kelly, Manijeh Daneshmand and Paul M. Krzyzanowski. Their work appears in journals such as Oncogene, Journal of Biological Chemistry, Investigational New Drugs, Cell Cycle 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.