Matthew Regan

614 total citations
3 papers, 73 citations indexed

About

Matthew Regan is a scholar working on Genetics, Occupational Therapy and Pathology and Forensic Medicine. According to data from OpenAlex, Matthew Regan has authored 3 papers receiving a total of 73 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 1 paper in Occupational Therapy and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Matthew Regan's work include Tumors and Oncological Cases (1 paper), Genomics and Rare Diseases (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). Matthew Regan is often cited by papers focused on Tumors and Oncological Cases (1 paper), Genomics and Rare Diseases (1 paper) and Genomic variations and chromosomal abnormalities (1 paper). Matthew Regan collaborates with scholars based in Australia, New Zealand and United States. Matthew Regan's co-authors include Harvey N. Mayrovitz, Alison Yeung, David J. Amor, Rachel Stapleton, George McGillivray, Natasha J. Brown, Zornitza Stark, Martin B. Delatycki, Belinda Chong and Sebastian Lunke and has published in prestigious journals such as Australasian Journal of Dermatology, Molecular Genetics & Genomic Medicine and PubMed.

In The Last Decade

Matthew Regan

3 papers receiving 69 citations

Peers

Matthew Regan
Bennet Peterson United States
Timothy Fee United States
Sabine Amann Austria
Nicolás Gómez-Banoy United States
Marc J. Laufgraben United States
Karen L. Mohlke United States
Bennet Peterson United States
Matthew Regan
Citations per year, relative to Matthew Regan Matthew Regan (= 1×) peers Bennet Peterson

Countries citing papers authored by Matthew Regan

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Regan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Regan

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

All Works

3 of 3 papers shown
1.
Tan, Natalie B., Rachel Stapleton, Zornitza Stark, et al.. (2020). Evaluating systematic reanalysis of clinical genomic data in rare disease from single center experience and literature review. Molecular Genetics & Genomic Medicine. 8(11). e1508–e1508. 44 indexed citations
2.
Robinson, Aaron, et al.. (2019). Genetic mosaicism in dermatology: Clinical utility of genetic testing of skin lesions. Australasian Journal of Dermatology. 61(1). 92–94. 1 indexed citations
3.
Regan, Matthew, et al.. (1995). Efficacy of a comprehensive pressure ulcer prevention program in an extended care facility.. PubMed. 8(3). 49, 51–2, 54. 28 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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