Matthew D. Shirley

2.3k citations
18 papers · 957 indexed · 1 hit paper · h-index 10
Topics
Genomic variations and chromosomal abnormalities (4 papers)Spine and Intervertebral Disc Pathology (3 papers)Spinal Fractures and Fixation Techniques (3 papers)

In The Last Decade

Matthew D. Shirley

18 papers receiving 943 citations

Hit Papers

Sturge–Weber Syndrome and Port-Wine Stains Caused by Soma...20132026201720212013200400600

Peers

Matthew D. Shirley
Comparison fields: 5 of 81
  • Surgery 495
  • Molecular Biology 251
  • Pathology and Forensic Medicine 204
  • Oncology 182
  • Genetics 180
Replace Young-Kwon Hong with:
Young-Kwon Hong United States
José Ramón Ricoy Spain
Matthew R. Ritter United States
Yasushi Adachi Japan
Olivier Vanakker Belgium
Robert Hurford United Kingdom
Remedios Nazareno United States
Adriano Angioni Italy
Hiroto Obata Japan
Cláudia Malheiros Coutinho‐Camillo Brazil
Matthew D. Shirley relative to Young-Kwon Hong United States Young-Kwon Hong's profile →
Citations per field
00.5×3.8×
Young-Kwon Hong · 1×
Citations per year

Countries citing papers authored by Matthew D. Shirley

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Shirley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew D. Shirley

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 36
2 9
3 3
4 3
5 43
6 12
7 31
8 32
9 6
10 49
11 4
12 27
13 6
14 9
15
Sturge–Weber Syndrome and Port-Wine Stains Caused by Somatic Mutation in GNAQbreakdown →
641
16 12
17 9
18 25

About Matthew D. Shirley

Matthew D. Shirley is a scholar working on Pathology and Forensic Medicine, Surgery and Genetics, having authored 18 papers that have together received 957 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (4 papers), Spine and Intervertebral Disc Pathology (3 papers) and Spinal Fractures and Fixation Techniques (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (204 citations), Surgery (495 citations) and Neurology (160 citations). Matthew D. Shirley has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Jonathan Pevsner, Joseph D. Baugher, Laurence P. Frelin, Paula E. North, Douglas A. Marchuk, Hao Tang, Carol J. Gallione, Bernard A. Cohen, Anne M. Comi and Sarah J. Wheelan. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and Cancer Research.

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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