Maria Doyle

6.3k citations
45 papers · 2.0k · h-index 23

Impact in

Papers in

    • Single-cell and spatial transcriptomics 4
    • Genomics and Phylogenetic Studies 4
    • RNA modifications and cancer 4
    • Gene expression and cancer classification 3
    • Bioinformatics and Genomic Networks 3
    • Cancer Genomics and Diagnostics 8

Maria Doyle

43 papers receiving 2.0k citations

Peers

Maria Doyle
Comparison fields: 5 of 127
  • Cancer Research 468
  • Reproductive Medicine 230
  • Parasitology 109
  • Molecular Biology 879
  • Genetics 343
Replace Nancy E. Joste with:
Nancy E. Joste United States
Jennifer E. Quinn United Kingdom
Eric Talevich United States
Hsiao‐Wang Chen United States
Tomasz Stokowy Norway
Juliet D. French Australia
Jens Dhein Germany
Giovina Ruberti Italy
Kohsuke Sasaki Japan
Wenbin Wei United Kingdom
Maria Doyle relative to Nancy E. Joste United States Nancy E. Joste's profile →
Citations per field
00.5×1.5×2.3×
Nancy E. Joste · 1×
Citations per year

Countries citing papers authored by Maria Doyle

Since Specialization
Citations

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

Fields of papers citing papers by Maria Doyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maria Doyle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maria Doyle Line = papers co-authored together Maria Doyle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Next-generation sequencing for cancer diagnostics: a practical perspective.
2011261
2 2012250
3 2012147
4 2015132
5 2010115
6 2015111
7 201289
8 202187
9 201571
10 200265
11 201064
12 201063
13 201058
14 200951
15 202349
16 201342
17 200737
18 202135
19 201432
20 201529

About Maria Doyle

Maria Doyle is a scholar working on Molecular Biology, Cancer Research, Surgery, Genetics and Oncology, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Ovarian cancer diagnosis and treatment (4 papers), Single-cell and spatial transcriptomics (4 papers), Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (4 papers), Gene expression and cancer classification (3 papers), Genomics and Rare Diseases (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Cancer Research (468 citations), Reproductive Medicine (230 citations), Parasitology (109 citations), Molecular Biology (879 citations) and Genetics (343 citations). Maria Doyle has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Richard W. Tothill, Cliff Meldrum, Ian Campbell, Georgina L. Ryland, Jason Li, Kylie L. Gorringe, Simone M. Rowley, Ella R. Thompson, Anthony T. Papenfuss and Stefano Mangiola. Their work appears in journals such as Pediatric Transplantation, Genome Medicine, PLoS ONE, BMC Bioinformatics and Bioinformatics.

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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