Jason O'Rawe

1.3k citations
11 papers · 709 indexed · h-index 7
Topics
Genomics and Phylogenetic Studies (6 papers)Genomics and Rare Diseases (5 papers)Genomic variations and chromosomal abnormalities (3 papers)
Partner nations
United StatesMexicoChina

In The Last Decade

Jason O'Rawe

11 papers receiving 694 citations

Peers

Jason O'Rawe
Comparison fields: 5 of 108
  • Molecular Biology 406
  • Genetics 373
  • Cancer Research 230
  • Pathology and Forensic Medicine 71
  • Plant Science 64
Replace Birgit Krabichler with:
Birgit Krabichler Austria
Lorenzo Tattini Italy
Daniel Cameron Australia
Sara Frı́as Mexico
Christoph Bartenhagen Germany
Andy Rimmer United Kingdom
Quan Chen China
Bryan Chi Canada
Anna Díez-Villanueva Spain
Manqiu Cao United States
Jason O'Rawe relative to Birgit Krabichler Austria Birgit Krabichler's profile →
Citations per field
00.5×1.7×
Birgit Krabichler · 1×
Citations per year

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

11 of 11 papers shown
#WorkIndexed citations
1 77
2 38
3 6
4 11
5 112
6 121
7 21
8 1
9 6
10 314
11
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
2

About Jason O'Rawe

Jason O'Rawe is a scholar working on Genetics, Statistics, Probability and Uncertainty and Cancer Research, having authored 11 papers that have together received 709 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), Genomics and Rare Diseases (5 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Cancer Research (230 citations), Genetics (373 citations) and Molecular Biology (406 citations). Jason O'Rawe has collaborated with scholars based in United States, Mexico and China. Frequent 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. Their work appears in journals such as Nature Methods, Nature Protocols and Trends in Genetics.

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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