Peter D. Tonner

590 total citations
16 papers, 342 citations indexed

About

Peter D. Tonner is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Peter D. Tonner has authored 16 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Artificial Intelligence. Recurrent topics in Peter D. Tonner's work include Gene Regulatory Network Analysis (5 papers), Bacterial Genetics and Biotechnology (4 papers) and RNA and protein synthesis mechanisms (4 papers). Peter D. Tonner is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), Bacterial Genetics and Biotechnology (4 papers) and RNA and protein synthesis mechanisms (4 papers). Peter D. Tonner collaborates with scholars based in United States, United Kingdom and Denmark. Peter D. Tonner's co-authors include Amy Schmid, Cynthia L. Darnell, David Ross, Peter A. Lund, Abe Pressman, Barbara E. Engelhardt, Sara Jabbari, Scott C. Schmidler, Degui Zhi and Vinodh Srinivasasainagendra and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Peter D. Tonner

15 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter D. Tonner United States 11 229 87 42 31 26 16 342
Indra Bervoets Belgium 9 297 1.3× 135 1.6× 73 1.7× 25 0.8× 38 1.5× 18 399
Keiran Stevenson United Kingdom 3 197 0.9× 75 0.9× 32 0.8× 24 0.8× 23 0.9× 3 379
Alena Aliashkevich Sweden 6 184 0.8× 71 0.8× 72 1.7× 30 1.0× 34 1.3× 8 316
Jiří Vohradský Czechia 13 424 1.9× 117 1.3× 39 0.9× 18 0.6× 33 1.3× 30 551
Małgorzata Adamczyk Poland 12 299 1.3× 101 1.2× 81 1.9× 37 1.2× 34 1.3× 26 571
Karin Mitosch Germany 9 227 1.0× 111 1.3× 87 2.1× 13 0.4× 12 0.5× 10 366
Rurun Wang United States 7 328 1.4× 34 0.4× 42 1.0× 27 0.9× 13 0.5× 8 439
Eynat Dellus-Gur Israel 5 242 1.1× 108 1.2× 21 0.5× 18 0.6× 54 2.1× 6 367
Yousuke Nishio Japan 11 388 1.7× 77 0.9× 35 0.8× 29 0.9× 43 1.7× 17 459

Countries citing papers authored by Peter D. Tonner

Since Specialization
Citations

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

Fields of papers citing papers by Peter D. Tonner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter D. Tonner

This figure shows the co-authorship network connecting the top 25 collaborators of Peter D. Tonner. A scholar is included among the top collaborators of Peter D. Tonner 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 D. Tonner. Peter D. Tonner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Tonner, Peter D., et al.. (2024). StratoMod: predicting sequencing and variant calling errors with interpretable machine learning. Communications Biology. 7(1). 1316–1316. 3 indexed citations
2.
Tonner, Peter D., Abe Pressman, Nathan D. Olson, et al.. (2023). Precision engineering of biological function with large-scale measurements and machine learning. PLoS ONE. 18(3). e0283548–e0283548. 2 indexed citations
3.
Ross, David, et al.. (2022). Method for reproducible automated bacterial cell culture and measurement. PubMed. 7(1). ysac013–ysac013. 5 indexed citations
4.
Tonner, Peter D., Abe Pressman, & David Ross. (2022). Interpretable modeling of genotype–phenotype landscapes with state-of-the-art predictive power. Proceedings of the National Academy of Sciences. 119(26). e2114021119–e2114021119. 21 indexed citations
5.
Scott, Benjamin, et al.. (2022). Predicted coronavirus Nsp5 protease cleavage sites in the human proteome. BMC Genomic Data. 23(1). 25–25. 15 indexed citations
6.
Tonner, Peter D., Abe Pressman, Nathan D. Olson, et al.. (2021). The genotype‐phenotype landscape of an allosteric protein. Molecular Systems Biology. 17(3). e10179–e10179. 39 indexed citations
7.
Will‐Cole, Alexandria, A. Gilad Kusne, Peter D. Tonner, et al.. (2021). Application of Bayesian Optimization and Regression Analysis to Ferromagnetic Materials Development. IEEE Transactions on Magnetics. 58(1). 1–8. 10 indexed citations
8.
Tonner, Peter D., et al.. (2020). A Bayesian non-parametric mixed-effects model of microbial growth curves. PLoS Computational Biology. 16(10). e1008366–e1008366. 12 indexed citations
9.
Tonner, Peter D., et al.. (2020). Measurements drive progress in directed evolution for precise engineering of biological systems. Current Opinion in Systems Biology. 23. 32–37.
10.
11.
Lancaster, W. Andrew, et al.. (2017). A transcription network of interlocking positive feedback loops maintains intracellular iron balance in archaea. Nucleic Acids Research. 45(17). 9990–10001. 17 indexed citations
12.
13.
Tonner, Peter D., et al.. (2017). Transcriptional Regulation in Archaea: From Individual Genes to Global Regulatory Networks. Annual Review of Genetics. 51(1). 143–170. 35 indexed citations
14.
Tonner, Peter D., Cynthia L. Darnell, Barbara E. Engelhardt, & Amy Schmid. (2016). Detecting differential growth of microbial populations with Gaussian process regression. Genome Research. 27(2). 320–333. 48 indexed citations
15.
Tonner, Peter D., et al.. (2015). A Regulatory Hierarchy Controls the Dynamic Transcriptional Response to Extreme Oxidative Stress in Archaea. PLoS Genetics. 11(1). e1004912–e1004912. 24 indexed citations
16.
Tonner, Peter D., Vinodh Srinivasasainagendra, Shaojie Zhang, & Degui Zhi. (2012). Detecting transcription of ribosomal protein pseudogenes in diverse human tissues from RNA-seq data. BMC Genomics. 13(1). 412–412. 29 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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