Dan DeBlasio
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Genomics and Phylogenetic Studies
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
- Machine Learning in Bioinformatics
- RNA modifications and cancer
Papers in
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- Genomics and Phylogenetic Studies 14
- Genetics, Bioinformatics, and Biomedical Research 5
- Genomics and Chromatin Dynamics 4
- RNA and protein synthesis mechanisms 4
- Machine Learning in Bioinformatics 3
- Gene expression and cancer classification 3
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- Algorithms and Data Compression 9
- Co-authors
- Carl Kingsford (6 shared papers)Guillaume Marçais (4 shared papers)Joseph Mazar (2 shared papers)Ranjan J. Perera (2 shared papers)Shaojie Zhang (3 shared papers)Subramaniam S. Govindarajan (2 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)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Dan DeBlasio
21 papers receiving 273 citations
Peers
Comparison fields: 5 of 52
- Cancer Research 100
- Molecular Biology 237
- Artificial Intelligence 61
- 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 | 39 | |
| 4 | 2018 | 33 | |
| 5 | 2013 | 15 | |
| 6 | 2019 | 10 | |
| 7 | 2015 | 9 | |
| 8 | 2017 | 7 | |
| 9 | 2015 | 5 | |
| 10 | 2015 | 5 | |
| 11 | 2020 | 3 | |
| 12 | 2016 | 3 | |
| 13 | 2018 | 3 | |
| 14 | 2015 | 3 | |
| 15 | 2014 | 3 | |
| 16 | 2011 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2017 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Dan DeBlasio
Dan DeBlasio is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Management and Aerospace Engineering, having authored 25 papers that have together received 275 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), Algorithms and Data Compression (9 papers), Genetics, Bioinformatics, and Biomedical Research (5 papers), Genomics and Chromatin Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers), Machine Learning in Bioinformatics (3 papers), Gene expression and cancer classification (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (100 citations), Molecular Biology (237 citations), Artificial Intelligence (61 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, Ranjan J. Perera, Shaojie Zhang, Subramaniam S. Govindarajan, John Kececioglu, Prashant Pandey, Cuncong Zhong 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 PLoS ONE.
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.