Jason O'Rawe

1.3k total citations
11 papers, 709 citations indexed

About

Jason O'Rawe is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Jason O'Rawe has authored 11 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Jason O'Rawe's work include Genomics and Phylogenetic Studies (6 papers), Genomics and Rare Diseases (5 papers) and Genomic variations and chromosomal abnormalities (3 papers). Jason O'Rawe is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Genomics and Rare Diseases (5 papers) and Genomic variations and chromosomal abnormalities (3 papers). Jason O'Rawe collaborates with scholars based in United States, Mexico and China. Jason O'Rawe's co-authors include Gholson J. Lyon, Yiyang Wu, Han Fang, Ivan Iossifov, Giuseppe Narzisi, Michael C. Schatz, Kai Wang, Paul Bodily, Håkon Håkonarson and Zhi Wei and has published in prestigious journals such as Nature Methods, Nature Protocols and Trends in Genetics.

In The Last Decade

Jason O'Rawe

11 papers receiving 694 citations

Peers

Jason O'Rawe

MB

GENET

CR

PFM

PS

Lorenzo Tattini Italy

Birgit Krabichler Austria

Andy Rimmer United Kingdom

Quan Chen China

Daniel Cameron Australia

Christoph Bartenhagen Germany

Galt P Barber United States

Ján Radvánszky Slovakia

Paolo D’Onorio De Meo Italy

Xiaojun Di United States

Lorenzo Tattini Italy

Jason O'Rawe

423 ×1.0

MB

356 ×1.0

GENET

208 ×0.9

CR

50 ×0.7

PFM

124 ×1.9

PS

Citations per year, relative to Jason O'Rawe Jason O'Rawe (= 1×) peers Lorenzo Tattini

Countries citing papers authored by Jason O'Rawe

Since Specialization

Citations

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

Fields of papers citing papers by Jason O'Rawe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason O'Rawe. 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 Jason O'Rawe. The network helps show where Jason O'Rawe may publish in the future.

Co-authorship network of co-authors of Jason O'Rawe

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

All Works

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11 of 11 papers shown

1.

Fang, Han, Ewa A. Bergmann, Kanika Arora, et al.. (2016). Indel variant analysis of short-read sequencing data with Scalpel. Nature Protocols. 11(12). 2529–2548. 77 indexed citations

2.

O'Rawe, Jason, Scott Ferson, & Gholson J. Lyon. (2015). Accounting for uncertainty in DNA sequencing data. Trends in Genetics. 31(2). 61–66. 38 indexed citations

3.

O'Rawe, Jason, et al.. (2015). Genome-wide variant analysis of simplex autism families with an integrative clinical-bioinformatics pipeline. Molecular Case Studies. 1(1). a000422–a000422. 6 indexed citations

4.

He, Min, Thomas N. Person, Scott J. Hebbring, et al.. (2015). SeqHBase: a big data toolset for family based sequencing data analysis. Journal of Medical Genetics. 52(4). 282–288. 11 indexed citations

5.

Fang, Han, Yiyang Wu, Giuseppe Narzisi, et al.. (2014). Reducing INDEL calling errors in whole genome and exome sequencing data. Genome Medicine. 6(10). 89–89. 112 indexed citations

6.

Narzisi, Giuseppe, Jason O'Rawe, Ivan Iossifov, et al.. (2014). Accurate de novo and transmitted indel detection in exome-capture data using microassembly. Nature Methods. 11(10). 1033–1036. 121 indexed citations

7.

Ferson, Scott, Jason O'Rawe, James Mickley, et al.. (2014). Natural language of uncertainty: numeric hedge words. International Journal of Approximate Reasoning. 57. 19–39. 21 indexed citations

8.

Fang, Han, Yiyang Wu, Giuseppe Narzisi, et al.. (2014). Reducing INDEL calling errors in whole genome and exome sequencing data. Genome Medicine. 6(10). 89–89. 1 indexed citations

9.

Ferson, Scott, Jason O'Rawe, & Michael Balch. (2014). Computing with Confidence: Imprecise Posteriors and Predictive Distributions. 84. 895–904. 6 indexed citations

10.

O'Rawe, Jason, Tao Jiang, Guangqing Sun, et al.. (2013). Low concordance of multiple variant-calling pipelines: practical implications for exome and genome sequencing. Genome Medicine. 5(3). 28–28. 314 indexed citations

11.

O'Rawe, Jason, Han Fang, Reid Robison, et al.. (2013). Supplementary video of subject M.A for Integrating precision medicine in the study and clinical treatment of a severely mentally ill person. PeerJ 1:e177. Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory). 2 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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