Dan DeBlasio

575 total citations
25 papers, 275 citations indexed

About

Dan DeBlasio is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Dan DeBlasio has authored 25 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 9 papers in Artificial Intelligence and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Dan DeBlasio's work include Genomics and Phylogenetic Studies (14 papers), Algorithms and Data Compression (9 papers) and Genetics, Bioinformatics, and Biomedical Research (5 papers). Dan DeBlasio is often cited by papers focused on Genomics and Phylogenetic Studies (14 papers), Algorithms and Data Compression (9 papers) and Genetics, Bioinformatics, and Biomedical Research (5 papers). Dan DeBlasio collaborates with scholars based in United States, United Kingdom and Switzerland. Dan DeBlasio's co-authors include Carl Kingsford, Guillaume Marçais, Subramaniam S. Govindarajan, Ranjan J. Perera, Shaojie Zhang, Joseph Mazar, John Kececioglu, Prashant Pandey, Animesh Ray and Cuncong Zhong and has published in prestigious journals such as Bioinformatics, PLoS ONE and FEBS Letters.

In The Last Decade

Dan DeBlasio

21 papers receiving 273 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan DeBlasio United States 8 237 100 61 12 12 25 275
Christian Wiwie Denmark 4 196 0.8× 37 0.4× 64 1.0× 5 0.4× 12 1.0× 7 326
Mohammadamin Edrisi United States 6 228 1.0× 108 1.1× 49 0.8× 4 0.3× 45 3.8× 9 350
Bianca Dumitrascu United States 9 195 0.8× 36 0.4× 49 0.8× 5 0.4× 27 2.3× 17 301
Mikaël Salson France 11 235 1.0× 61 0.6× 84 1.4× 20 1.7× 17 1.4× 23 386
Binhua Tang China 7 185 0.8× 50 0.5× 34 0.6× 6 0.5× 19 1.6× 16 255
Dimitrios Kleftogiannis Saudi Arabia 11 404 1.7× 162 1.6× 71 1.2× 6 0.5× 24 2.0× 28 560
William Yang United States 13 301 1.3× 98 1.0× 27 0.4× 4 0.3× 58 4.8× 26 436
Ehsan Haghshenas Canada 8 138 0.6× 61 0.6× 42 0.7× 9 0.8× 19 1.6× 14 199
Farida Zehraoui France 10 191 0.8× 59 0.6× 67 1.1× 2 0.2× 15 1.3× 25 281

Countries citing papers authored by Dan DeBlasio

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Dan DeBlasio

This figure shows the co-authorship network connecting the top 25 collaborators of Dan DeBlasio. A scholar is included among the top collaborators of Dan DeBlasio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan DeBlasio. Dan DeBlasio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Balcan, Maria-Florina, et al.. (2024). How Much Data Is Sufficient to Learn High-Performing Algorithms?. Journal of the ACM. 71(5). 1–58.
2.
DeBlasio, Dan, Sofía Ferreira-González, Alejandra Medina-Rivera, et al.. (2024). Closing the computational biology ‘knowledge gap’: Spanish Wikipedia as a case study. Bioinformatics. 40(Supplement_1). i11–i19. 1 indexed citations
3.
Marçais, Guillaume, Dan DeBlasio, & Carl Kingsford. (2024). Sketching Methods with Small Window Guarantee Using Minimum Decycling Sets. Journal of Computational Biology. 31(7). 597–615. 2 indexed citations
4.
DeBlasio, Dan, et al.. (2024). Identifying Cislunar Orbital Families via Machine Learning on Light Curves. The Journal of the Astronautical Sciences. 71(3). 1 indexed citations
5.
6.
DeBlasio, Dan, Kwanho Kim, & Carl Kingsford. (2020). More Accurate Transcript Assembly via Parameter Advising. Journal of Computational Biology. 27(8). 1181–1189. 3 indexed citations
7.
Marçais, Guillaume, Dan DeBlasio, Prashant Pandey, & Carl Kingsford. (2019). Locality-sensitive hashing for the edit distance. Bioinformatics. 35(14). i127–i135. 39 indexed citations
8.
Marçais, Guillaume, Dan DeBlasio, & Carl Kingsford. (2018). Asymptotically optimal minimizers schemes. Bioinformatics. 34(13). i13–i22. 33 indexed citations
9.
Hassan, Mehedi, Dan DeBlasio, Nazeefa Fatima, et al.. (2018). Reflections on a journey: a retrospective of the ISCB Student Council symposium series. BMC Bioinformatics. 19(S12). 347–347.
10.
Francescatto, Margherita, Farzana Rahman, Nazeefa Fatima, et al.. (2018). The ISCB Student Council Internship Program: Expanding computational biology capacity worldwide. PLoS Computational Biology. 14(1). e1005802–e1005802. 3 indexed citations
11.
DeBlasio, Dan & John Kececioglu. (2018). Adaptive Local Realignment of Protein Sequences. Journal of Computational Biology. 25(7). 780–793. 1 indexed citations
12.
DeBlasio, Dan & Jennifer H. Wisecaver. (2016). SICLE : a high-throughput tool for extracting evolutionary relationships from phylogenetic trees. PeerJ. 4. e2359–e2359. 3 indexed citations
13.
DeBlasio, Dan & John Kececioglu. (2015). Learning Parameter-Advising Sets for Multiple Sequence Alignment. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 14(5). 1028–1041. 9 indexed citations
14.
Rahman, Farzana, Annika Jacobsen, Alexander Junge, et al.. (2015). Highlights from the tenth ISCB Student Council Symposium 2014. BMC Bioinformatics. 16(S2). A1–10. 5 indexed citations
15.
DeBlasio, Dan & John Kececioglu. (2015). Ensemble multiple sequence alignment via advising. 452–461. 3 indexed citations
16.
DeBlasio, Dan & John Kececioglu. (2015). Parameter advising for multiple sequence alignment. BMC Bioinformatics. 16(S2). 5 indexed citations
17.
Kececioglu, John & Dan DeBlasio. (2013). Accuracy Estimation and Parameter Advising for Protein Multiple Sequence Alignment. Journal of Computational Biology. 20(4). 259–279. 15 indexed citations
18.
DeBlasio, Dan, Jocelyne Bruand, & Shaojie Zhang. (2011). A Memory Efficient Method for Structure-Based RNA Multiple Alignment. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(1). 1–11. 2 indexed citations
19.
Mazar, Joseph, Dan DeBlasio, Subramaniam S. Govindarajan, Shaojie Zhang, & Ranjan J. Perera. (2011). Epigenetic regulation of microRNA‐375 and its role in melanoma development in humans. FEBS Letters. 585(15). 2467–2476. 71 indexed citations
20.
Mazar, Joseph, Divya Khaitan, Dan DeBlasio, et al.. (2011). Epigenetic Regulation of MicroRNA Genes and the Role of miR-34b in Cell Invasion and Motility in Human Melanoma. PLoS ONE. 6(9). e24922–e24922. 57 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Christian Wiwie Breakdown of academic impact, for papers by Mohammadamin Edrisi Breakdown of academic impact, for papers by Bianca Dumitrascu Breakdown of academic impact, for papers by Mikaël Salson Breakdown of academic impact, for papers by Binhua Tang Breakdown of academic impact, for papers by Dimitrios Kleftogiannis Breakdown of academic impact, for papers by William Yang Breakdown of academic impact, for papers by Ehsan Haghshenas Breakdown of academic impact, for papers by Farida Zehraoui
Rankless by CCL
2026