Peter J. Tonellato

10.1k total citations
73 papers, 1.6k citations indexed

About

Peter J. Tonellato is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Peter J. Tonellato has authored 73 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 23 papers in Genetics and 15 papers in Cancer Research. Recurrent topics in Peter J. Tonellato's work include Cancer Genomics and Diagnostics (13 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Bioinformatics and Genomic Networks (11 papers). Peter J. Tonellato is often cited by papers focused on Cancer Genomics and Diagnostics (13 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Bioinformatics and Genomic Networks (11 papers). Peter J. Tonellato collaborates with scholars based in United States, Morocco and Canada. Peter J. Tonellato's co-authors include Andrew S. Greene, Allen W. Cowley, Dennis P. Wall, Julian H. Lombard, Justin K. Lui, Prasad Patil, Howard J. Jacob, Mary L. Kaldunski, Vincent A. Fusaro and Pierre Dumas and has published in prestigious journals such as Science, Circulation and Bioinformatics.

In The Last Decade

Peter J. Tonellato

69 papers receiving 1.5k citations

Peers

Peter J. Tonellato
Christopher A. Lee United States
Marc Vaudel Norway
Mark Ziemann Australia
Zhiao Shi United States
Fabien Campagne United States
Tony Burdett United Kingdom
Aris Floratos United States
Max Franz Canada
Christian Lopes Canada
Randall Pruim United States
Christopher A. Lee United States
Peter J. Tonellato
Citations per year, relative to Peter J. Tonellato Peter J. Tonellato (= 1×) peers Christopher A. Lee

Countries citing papers authored by Peter J. Tonellato

Since Specialization
Citations

This map shows the geographic impact of Peter J. Tonellato'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 Peter J. Tonellato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Tonellato more than expected).

Fields of papers citing papers by Peter J. Tonellato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter J. Tonellato. 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 Peter J. Tonellato. The network helps show where Peter J. Tonellato may publish in the future.

Co-authorship network of co-authors of Peter J. Tonellato

This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Tonellato. A scholar is included among the top collaborators of Peter J. Tonellato 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 Peter J. Tonellato. Peter J. Tonellato 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
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Jin, Wang, et al.. (2022). Producing personalized statin treatment plans to optimize clinical outcomes using big data and machine learning. Journal of Biomedical Informatics. 128. 104029–104029. 13 indexed citations
5.
Wilkinson, Katie, et al.. (2021). Electronic Medical Record Specialty Group Comparison by Multinomial Logistic Regression. 43. 415–421. 2 indexed citations
6.
Hassanien, Aboul Ella, Abdelkrim Haqiq, Peter J. Tonellato, et al.. (2021). Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2021). Advances in intelligent systems and computing. 15 indexed citations
7.
Sghaier, Ikram, et al.. (2020). Western influenced lifestyle and Kv2.1 association as predicted biomarkers for Tunisian colorectal cancer. BMC Cancer. 20(1). 1086–1086. 12 indexed citations
8.
Zeng, Wenjun, et al.. (2017). Personalized long-term prediction of cognitive function: Using sequential assessments to improve model performance. Journal of Biomedical Informatics. 76. 78–86. 5 indexed citations
9.
Liu, Qing, Jan M. Spitsbergen, Ronan Cariou, et al.. (2014). Histopathologic Alterations Associated with Global Gene Expression Due to Chronic Dietary TCDD Exposure in Juvenile Zebrafish. PLoS ONE. 9(7). e100910–e100910. 15 indexed citations
10.
Tonellato, Peter J., James M. Crawford, Mark S. Boguski, & Jeffrey E. Saffitz. (2011). A National Agenda for the Future of Pathology in Personalized Medicine. American Journal of Clinical Pathology. 135(5). 668–672. 42 indexed citations
11.
Wall, Dennis P., Rimma Pivovarov, Mark Tong, et al.. (2010). Genotator: A disease-agnostic tool for genetic annotation of disease. BMC Medical Genomics. 3(1). 50–50. 45 indexed citations
12.
Wall, Dennis P., Parul Kudtarkar, Vincent A. Fusaro, et al.. (2010). Cloud computing for comparative genomics. BMC Bioinformatics. 11(1). 259–259. 81 indexed citations
13.
Indap, Amit, Gábor Marth, Craig A. Struble, Peter J. Tonellato, & Michael Olivier. (2005). Analysis of concordance of different haplotype block partitioning algorithms. BMC Bioinformatics. 6(1). 303–303. 15 indexed citations
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Wen, Xinyu, Hang Liu, Victor Ruotti, et al.. (2004). ChromSorter PC: A database of chromosomal regions associated with human prostate cancer. BMC Genomics. 5(1). 27–27. 2 indexed citations
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Twigger, Simon, Jeff Nie, Victor Ruotti, et al.. (2004). Integrative Genomics: In Silico Coupling of Rat Physiology and Complex Traits With Mouse and Human Data. Genome Research. 14(4). 651–660. 16 indexed citations
16.
Postlethwait, John H., Victor Ruotti, Michael J. Carvan, & Peter J. Tonellato. (2004). Automated Analysis of Conserved Syntenies for the Zebrafish Genome. Methods in cell biology. 77. 255–271. 13 indexed citations
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Schlicht, Michael J., Xinyu Wen, Hang Liu, et al.. (2004). Cross-species global and subset gene expression profiling identifies genes involved in prostate cancer response to selenium. BMC Genomics. 5(1). 58–58. 21 indexed citations
18.
Roman, R. J., Allen W. Cowley, Andrew S. Greene, et al.. (2002). Consomic Rats for the Identification of Genes and Pathways Underlying Cardiovascular Disease. Cold Spring Harbor Symposia on Quantitative Biology. 67(0). 309–316. 15 indexed citations
19.
Cowley, Allen W., Richard J. Roman, Mary L. Kaldunski, et al.. (2000). Transfer of Brown Norway Rat Chromosome 13 into Dahl S Genomic Background Confers Protection from High Salt Diet. Hypertension. 36. 717–717. 1 indexed citations
20.
Kendziorski, Christina, James B. Bassingthwaighte, & Peter J. Tonellato. (1999). Evaluating maximum likelihood estimation methods to determine the Hurst coefficient. Physica A Statistical Mechanics and its Applications. 273(3-4). 439–451. 31 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.

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