Dan DeBlasio
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Genomics and Phylogenetic Studies
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Machine Learning in Bioinformatics
Papers in
-
- Genomics and Phylogenetic Studies 13
- Genetics, Bioinformatics, and Biomedical Research 4
- RNA and protein synthesis mechanisms 4
- Machine Learning in Bioinformatics 3
- Genomics and Chromatin Dynamics 3
- Gene expression and cancer classification 2
-
- Algorithms and Data Compression 8
- Machine Learning and Algorithms 2
- Co-authors
- Carl Kingsford (6 shared papers)Guillaume Marçais (4 shared papers)Joseph Mazar (2 shared papers)Subramaniam S. Govindarajan (2 shared papers)Ranjan J. Perera (2 shared papers)Shaojie Zhang (3 shared papers)John Kececioglu (7 shared papers)Prashant Pandey (1 shared paper)
- Journals
- Journal of Computational Biology (4 papers)Bioinformatics (3 papers)BMC Bioinformatics (3 papers)IEEE/ACM Transactions on Computational Biology and Bioinformatics (2 papers)Journal of the ACM (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Dan DeBlasio
22 papers receiving 281 citations
Peers
Comparison fields: 5 of 54
- Cancer Research 85
- Molecular Biology 200
- Artificial Intelligence 45
- Information Systems and Management 5
- Virology 3
Countries citing papers authored by Dan DeBlasio
This map shows the geographic impact of Dan DeBlasio'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 Dan DeBlasio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan DeBlasio more than expected).
Fields of papers citing papers by Dan DeBlasio
This network shows the impact of papers produced by Dan DeBlasio. 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 Dan DeBlasio. The network helps show where Dan DeBlasio may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan DeBlasio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 71 | |
| 2 | 2011 | 57 | |
| 3 | 2019 | 40 | |
| 4 | 2018 | 35 | |
| 5 | 2013 | 15 | |
| 6 | 2019 | 10 | |
| 7 | 2015 | 9 | |
| 8 | 2017 | 8 | |
| 9 | 2015 | 5 | |
| 10 | 2015 | 5 | |
| 11 | 2018 | 4 | |
| 12 | 2014 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2016 | 3 | |
| 15 | 2015 | 3 | |
| 16 | 2017 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2011 | 2 | |
| 20 | 2024 | 1 |
About Dan DeBlasio
Dan DeBlasio is a scholar working on Molecular Biology, Artificial Intelligence, Information Systems and Management, Aerospace Engineering and Cancer Research, having authored 25 papers that have together received 283 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Algorithms and Data Compression (8 papers), Genetics, Bioinformatics, and Biomedical Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Machine Learning in Bioinformatics (3 papers), Genomics and Chromatin Dynamics (3 papers), Gene expression and cancer classification (2 papers) and Machine Learning and Algorithms (2 papers). The work is most often cited by research in Cancer Research (85 citations), Molecular Biology (200 citations), Artificial Intelligence (45 citations), Information Systems and Management (5 citations) and Virology (3 citations). Dan DeBlasio has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Carl Kingsford, Guillaume Marçais, Joseph Mazar, Subramaniam S. Govindarajan, Ranjan J. Perera, Shaojie Zhang, John Kececioglu, Prashant Pandey, Divya Khaitan and Animesh Ray. Their work appears in journals such as Journal of Computational Biology, Bioinformatics, BMC Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics and Journal of the ACM.
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.