Maya Doyle

22 papers receiving 393 citations

Peers

Maya Doyle
Comparison fields: 5 of 61
  • Speech and Hearing 83
  • Pediatrics, Perinatology and Child Health 145
  • Pathology and Forensic Medicine 107
  • Nephrology 35
  • Biochemistry 33
Replace Kathleen C. Moltz with:
Kathleen C. Moltz United States
Sonia Sharma India
J. Norelle Lickiss Australia
Helen Coolican Australia
Mariska Caroline Vlot Netherlands
Romy Gaillard United States
Matthew L. Withiam-Leitch United States
Leah Kroon United States
M. Catherine Brown Canada
Samantha E. Huestis United States
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Citations per year

Countries citing papers authored by Maya Doyle

Since Specialization
Citations

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

Fields of papers citing papers by Maya Doyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maya 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 Maya Doyle Line = papers co-authored together Maya Doyle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201655
2 201445
3 201242
4 201834
5 201430
6 201228
7 202024
8 201920
9 202120
10 200717
11 201614
12 202114
13 201713
14 200610
15 20159
16 20209
17 20208
18 20227
19 20166
20 20176

About Maya Doyle

Maya Doyle is a scholar working on Speech and Hearing, Pediatrics, Perinatology and Child Health, Pathology and Forensic Medicine, Biochemistry and Nephrology, having authored 24 papers that have together received 414 indexed citations. Recurring topics across this work include Adolescent and Pediatric Healthcare (8 papers), Biomedical Research and Pathophysiology (8 papers), Childhood Cancer Survivors' Quality of Life (5 papers), Amino Acid Enzymes and Metabolism (3 papers), Healthcare Policy and Management (3 papers), BRCA gene mutations in cancer (3 papers), Neonatal Health and Biochemistry (3 papers) and Glycogen Storage Diseases and Myoclonus (1 paper). The work is most often cited by research in Speech and Hearing (83 citations), Pediatrics, Perinatology and Child Health (145 citations), Pathology and Forensic Medicine (107 citations), Nephrology (35 citations) and Biochemistry (33 citations). Maya Doyle has collaborated with scholars based in United States, Germany and Trinidad and Tobago. Frequent co-authors include Allison Werner‐Lin, Lynn F. Davidson, Lindsey M. Hoskins, Mark H. Greene, Ellen Johnson Silver, Carolyn M. Macica, Inmaculada Doña, Ingrid Terreehorst, Esther Moreno and Jean Christoph Caubet. Their work appears in journals such as Muscle & Nerve, Advances in Chronic Kidney Disease, Clinical and Translational Allergy, Journal of the Society for Social Work and Research and Frontiers in Pediatrics.

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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