Trevor Pesout

6.9k total citations
3 papers, 167 citations indexed

About

Trevor Pesout is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Trevor Pesout has authored 3 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Genetics and 1 paper in Plant Science. Recurrent topics in Trevor Pesout's work include Gene expression and cancer classification (2 papers), Genomics and Phylogenetic Studies (2 papers) and Bioinformatics and Genomic Networks (1 paper). Trevor Pesout is often cited by papers focused on Gene expression and cancer classification (2 papers), Genomics and Phylogenetic Studies (2 papers) and Bioinformatics and Genomic Networks (1 paper). Trevor Pesout collaborates with scholars based in United States and Germany. Trevor Pesout's co-authors include Benedict Paten, P. Carnevali, Jordan M. Eizenga, Gunjan Baid, Miten Jain, Alexey Kolesnikov, Pi-Chuan Chang, Maria Nattestad, Sidharth Goel and Mikhail Kolmogorov and has published in prestigious journals such as Nature Methods, Genome biology and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Trevor Pesout

3 papers receiving 165 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trevor Pesout United States 2 136 57 31 30 14 3 167
Sidharth Goel United States 2 113 0.8× 49 0.9× 22 0.7× 29 1.0× 13 0.9× 3 144
Taedong Yun United States 5 119 0.9× 94 1.6× 38 1.2× 28 0.9× 16 1.1× 9 224
Martin Tříska United States 8 93 0.7× 46 0.8× 28 0.9× 24 0.8× 27 1.9× 8 163
Bronwen Aken United Kingdom 4 166 1.2× 89 1.6× 37 1.2× 40 1.3× 10 0.7× 6 224
Charlotte H. Wang United States 2 115 0.8× 65 1.1× 19 0.6× 11 0.4× 7 0.5× 3 186
Benjamin Kreck Germany 4 275 2.0× 75 1.3× 41 1.3× 51 1.7× 17 1.2× 4 325
Sairam Behera United States 7 136 1.0× 88 1.5× 56 1.8× 29 1.0× 8 0.6× 13 210
Justin Jee United States 4 101 0.7× 53 0.9× 17 0.5× 20 0.7× 9 0.6× 7 144
Michael T. Kalmbach United States 6 120 0.9× 89 1.6× 49 1.6× 29 1.0× 7 0.5× 8 226
Aidan R. O’Brien Australia 8 298 2.2× 58 1.0× 40 1.3× 9 0.3× 8 0.6× 11 331

Countries citing papers authored by Trevor Pesout

Since Specialization
Citations

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

Fields of papers citing papers by Trevor Pesout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trevor Pesout. 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 Trevor Pesout. The network helps show where Trevor Pesout may publish in the future.

Co-authorship network of co-authors of Trevor Pesout

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

All Works

3 of 3 papers shown
1.
Shafin, Kishwar, Trevor Pesout, Pi-Chuan Chang, et al.. (2021). Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-reads. Nature Methods. 18(11). 1322–1332. 133 indexed citations
2.
Ebler, Jana, Marina Haukness, Trevor Pesout, Tobias Marschall, & Benedict Paten. (2019). Haplotype-aware diplotyping from noisy long reads. Genome biology. 20(1). 116–116. 33 indexed citations
3.
Ebler, Jana, Marina Haukness, Trevor Pesout, Benedict Paten, & Tobias Marschall. (2018). Haplotype-aware diplotyping from noisy long reads. Zenodo (CERN European Organization for Nuclear Research). 1 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 Sidharth Goel Breakdown of academic impact, for papers by Taedong Yun Breakdown of academic impact, for papers by Martin Tříska Breakdown of academic impact, for papers by Bronwen Aken Breakdown of academic impact, for papers by Charlotte H. Wang Breakdown of academic impact, for papers by Benjamin Kreck Breakdown of academic impact, for papers by Sairam Behera Breakdown of academic impact, for papers by Justin Jee Breakdown of academic impact, for papers by Michael T. Kalmbach Breakdown of academic impact, for papers by Aidan R. O’Brien
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