Matthew D. Kay

1.0k citations
10 papers · 729 indexed · h-index 8
Topics
Knee injuries and reconstruction techniques (4 papers)Tendon Structure and Treatment (3 papers)Orthopedic Surgery and Rehabilitation (2 papers)
Partner nations
United StatesAustralia

In The Last Decade

Matthew D. Kay

10 papers receiving 697 citations

Peers

Matthew D. Kay
Comparison fields: 5 of 54
  • Surgery 620
  • Orthopedics and Sports Medicine 322
  • Biomedical Engineering 191
  • Mechanics of Materials 59
  • Small Animals 50
Replace Ho‐Joong Jung with:
Ho‐Joong Jung South Korea
Savio L.-Y. Woo United States
Yoshiyuki Takakura Japan
Jonathan A. Gimbel United States
Donita I. Bylski‐Austrow United States
Michal Szczodry United States
John G. Lane United States
John R. Ehteshami United States
Elise M. Magarian United States
John Currey United Kingdom
Matthew D. Kay relative to Ho‐Joong Jung South Korea Ho‐Joong Jung's profile →
Citations per field
00.5×
Ho‐Joong Jung · 1×
Citations per year

Countries citing papers authored by Matthew D. Kay

Since Specialization
Citations

This map shows the geographic impact of Matthew D. Kay'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. Kay 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. Kay more than expected).

Fields of papers citing papers by Matthew D. Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 7
2 1
3 16
4 7
5 1
6 10
7 151
8 374
9 108
10 54

About Matthew D. Kay

Matthew D. Kay is a scholar working on Orthopedics and Sports Medicine, Pathology and Forensic Medicine and Surgery, having authored 10 papers that have together received 729 indexed citations. Recurring topics across this work include Knee injuries and reconstruction techniques (4 papers), Tendon Structure and Treatment (3 papers) and Orthopedic Surgery and Rehabilitation (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (322 citations), Surgery (620 citations) and Small Animals (50 citations). Matthew D. Kay has collaborated with scholars based in United States and Australia. Frequent co-authors include David L. Butler, D. C. Stouffer, Martin S. Levy, J. F. Cummings, Peter K. Shires, Donald A. Hulse, Hiromu Shoji, Robert DʼAmbrosia, Edward S. Grood and Frank R. Noyes. Their work appears in journals such as Journal of Biomechanics, Skeletal Radiology and Veterinary Surgery.

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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