Maria Doyle

6.1k total citations
44 papers, 2.0k citations indexed

About

Maria Doyle is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Maria Doyle has authored 44 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Cancer Research and 8 papers in Surgery. Recurrent topics in Maria Doyle's work include Cancer Genomics and Diagnostics (11 papers), Genomics and Phylogenetic Studies (6 papers) and Genomics and Rare Diseases (5 papers). Maria Doyle is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Genomics and Phylogenetic Studies (6 papers) and Genomics and Rare Diseases (5 papers). Maria Doyle collaborates with scholars based in Australia, United States and United Kingdom. Maria Doyle's 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 and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Maria Doyle

42 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Doyle Australia 22 993 582 394 341 250 44 2.0k
Sara A. Grimm United States 26 2.4k 2.5× 1.0k 1.8× 635 1.6× 538 1.6× 203 0.8× 61 3.6k
Jennifer E. Quinn United Kingdom 19 1.1k 1.1× 415 0.7× 555 1.4× 702 2.1× 154 0.6× 23 1.8k
Cécile Le Page Canada 28 1.2k 1.2× 567 1.0× 174 0.4× 1.1k 3.3× 222 0.9× 62 3.1k
Allison Jones United Kingdom 25 1.5k 1.5× 691 1.2× 306 0.8× 310 0.9× 65 0.3× 47 2.1k
Wendy V. Ingman Australia 28 611 0.6× 385 0.7× 283 0.7× 791 2.3× 84 0.3× 82 2.5k
Julie A. DeLoia United States 30 1.2k 1.2× 428 0.7× 553 1.4× 812 2.4× 134 0.5× 63 2.9k
Kimmo Palin Finland 19 2.2k 2.2× 267 0.5× 412 1.0× 228 0.7× 165 0.7× 36 3.1k
Harald S. Haugen United States 20 983 1.0× 266 0.5× 445 1.1× 594 1.7× 189 0.8× 20 3.6k
Karl‐Henning Kalland Norway 34 1.5k 1.5× 520 0.9× 186 0.5× 658 1.9× 120 0.5× 81 2.5k
Andreas Widschwendter Austria 24 1.3k 1.3× 480 0.8× 372 0.9× 488 1.4× 167 0.7× 56 2.2k

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-authorship network of co-authors of Maria Doyle

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

All Works

20 of 20 papers shown
1.
2.
Yang, Tianpei, Maria Doyle, Angela Pizzolla, et al.. (2023). Spatial analysis with SPIAT and spaSim to characterize and simulate tissue microenvironments. Nature Communications. 14(1). 2697–2697. 38 indexed citations
3.
Ahmed, Ola, Neeta Vachharajani, Su‐Hsin Chang, et al.. (2022). Bile Leak Detection after HPB Surgery Using Eovist Enhanced MRI Protocols: Is There Still a Diagnostic Role for HIDA Scans?. HPB. 24. S541–S542. 1 indexed citations
4.
Chin, R, Amit Roy, Lily Mahapatra, et al.. (2022). Oligometastatic Rectal Adenocarcinoma Treated With Short-Course Radiation Therapy and Chemotherapy With Nonoperative Intent of the Primary for Locoregional Complete Responders. Practical Radiation Oncology. 12(5). e406–e414. 3 indexed citations
5.
Mangiola, Stefano, Maria Doyle, & Anthony T. Papenfuss. (2021). Interfacing Seurat with the R tidy universe. Bioinformatics. 37(22). 4100–4107. 82 indexed citations
6.
Mangiola, Stefano, et al.. (2021). tidybulk: an R tidy framework for modular transcriptomic data analysis. Genome biology. 22(1). 42–42. 19 indexed citations
7.
Hunter, Sally M., Genevieve Dall, Maria Doyle, et al.. (2020). Molecular comparison of pure ovarian fibroma with serous benign ovarian tumours. BMC Research Notes. 13(1). 349–349. 7 indexed citations
8.
Mitchell, Catherine, Maria Doyle, A. Craig Lynch, et al.. (2020). Germline whole exome sequencing of a family with appendiceal mucinous tumours presenting with pseudomyxoma peritonei. BMC Cancer. 20(1). 369–369. 7 indexed citations
9.
Fallmann, Jörg, Pavankumar Videm, Andrea Bagnacani, et al.. (2019). The RNA workbench 2.0: next generation RNA data analysis. Nucleic Acids Research. 47(W1). W511–W515. 12 indexed citations
10.
Doig, Kenneth, Andrew Fellowes, Anthony Bell, et al.. (2017). PathOS: a decision support system for reporting high throughput sequencing of cancers in clinical diagnostic laboratories. Genome Medicine. 9(1). 38–38. 19 indexed citations
11.
Ghisi, Margherita, Lev M. Kats, Frédérick Masson, et al.. (2016). Id2 and E Proteins Orchestrate the Initiation and Maintenance of MLL-Rearranged Acute Myeloid Leukemia. Cancer Cell. 30(1). 59–74. 26 indexed citations
12.
Mellnick, Vincent M., et al.. (2016). Pancreatic Paraganglioma: A Case Report. PubMed. 2(1). 79–83. 13 indexed citations
13.
Ryland, Georgina L., Maria Doyle, David L. Goode, et al.. (2015). Loss of heterozygosity: what is it good for?. BMC Medical Genomics. 8(1). 45–45. 67 indexed citations
14.
Thompson, Ella R., Kylie L. Gorringe, Simone M. Rowley, et al.. (2015). Prevalence of PALB2 mutations in Australian familial breast cancer cases and controls. Breast Cancer Research. 17(1). 111–111. 29 indexed citations
15.
Li, Jason, Maria Doyle, Isaam Saeed, et al.. (2014). Bioinformatics Pipelines for Targeted Resequencing and Whole-Exome Sequencing of Human and Mouse Genomes: A Virtual Appliance Approach for Instant Deployment. PLoS ONE. 9(4). e95217–e95217. 18 indexed citations
16.
Crowther, Gregory J., Dhanasekaran Shanmugam, Santiago J. Carmona, et al.. (2010). Identification of Attractive Drug Targets in Neglected-Disease Pathogens Using an In Silico Approach. PLoS neglected tropical diseases. 4(8). e804–e804. 115 indexed citations
17.
Doyle, Maria, Robin B. Gasser, Ben J. Woodcroft, Ross S. Hall, & Stuart A. Ralph. (2010). Drug target prediction and prioritization: using orthology to predict essentiality in parasite genomes. BMC Genomics. 11(1). 222–222. 63 indexed citations
18.
Wellen, Jason R., Christopher D. Anderson, Maria Doyle, et al.. (2009). The role of liver transplantation for hepatic adenomatosis in the pediatric population: Case report and review of the literature. Pediatric Transplantation. 14(3). E16–E19. 13 indexed citations
19.
Doyle, Maria, James I. MacRae, David P. De Souza, et al.. (2009). LeishCyc: a biochemical pathways database for Leishmania major. BMC Systems Biology. 3(1). 57–57. 51 indexed citations
20.
Doyle, Maria. (2002). New and old roles of the double-stranded RNA-binding domain. Journal of Structural Biology. 140(1-3). 147–153. 64 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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