Maria Doyle

6.1k citations
44 papers · 2.0k · h-index 22

Impact in

Papers in

    • Genomics and Phylogenetic Studies 6
    • RNA modifications and cancer 5
    • Single-cell and spatial transcriptomics 4
    • Gene expression and cancer classification 4
    • Cancer Genomics and Diagnostics 11

Maria Doyle

42 papers receiving 1.9k citations

Peers

Maria Doyle
Comparison fields: 5 of 123
  • Cancer Research 582
  • Reproductive Medicine 246
  • Parasitology 114
  • Molecular Biology 993
  • Genetics 394
Replace Jennifer E. Quinn with:
Jennifer E. Quinn United Kingdom
Nancy E. Joste United States
Rodolfo Laucirica United States
Cécile Le Page Canada
Tomasz Stokowy Norway
Jens Dhein Germany
Giovina Ruberti Italy
Annegien Broeks Netherlands
Marc Fellous France
Harald S. Haugen United States
Maria Doyle relative to Jennifer E. Quinn United Kingdom Jennifer E. Quinn's profile →
Citations per field
00.5×4.3×
Jennifer E. Quinn · 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 44 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 2012248
3 2012147
4 2015130
5 2010115
6 2015109
7 201288
8 202182
9 201567
10 200264
11 201064
12 201063
13 201058
14 200951
15 201341
16 202338
17 200737
18 202132
19 201529
20 201626

About Maria Doyle

Maria Doyle is a scholar working on Molecular Biology, Cancer Research, Surgery, Genetics and Oncology, having authored 44 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (11 papers), Genomics and Phylogenetic Studies (6 papers), RNA modifications and cancer (5 papers), Ovarian cancer diagnosis and treatment (5 papers), Genomics and Rare Diseases (5 papers), Single-cell and spatial transcriptomics (4 papers), Gene expression and cancer classification (4 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Cancer Research (582 citations), Reproductive Medicine (246 citations), Parasitology (114 citations), Molecular Biology (993 citations) and Genetics (394 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 David D.L. Bowtell. Their work appears in journals such as Genome Medicine, Pediatric Transplantation, Bioinformatics, The Journal of Pathology and HPB.

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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