Peter McQueen

892 citations
26 papers · 659 · h-index 12

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 3
    • Cancer-related gene regulation 3
    • SARS-CoV-2 and COVID-19 Research 3
    • SARS-CoV-2 detection and testing 2
    • COVID-19 Clinical Research Studies 2

Peter McQueen

24 papers receiving 645 citations

Peers

Peter McQueen
Comparison fields: 5 of 96
  • Rehabilitation 132
  • Cancer Research 75
  • Molecular Biology 321
  • Orthopedics and Sports Medicine 36
  • Surgery 184
Replace Xiong‐Ke Hu with:
Xiong‐Ke Hu China
Yi-Wei Liu China
Iwona Grabowska Poland
Leila Rezakhani Iran
Hui Kang China
Yoshikazu Mikami Japan
Andrei Moroz Brazil
Yu‐Hui Tsai Taiwan
Lingzhi Zhong China
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Citations per field
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Citations per year

Countries citing papers authored by Peter McQueen

Since Specialization
Citations

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

Fields of papers citing papers by Peter McQueen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010112
2 2013102
3 201296
4 201173
5 201345
6 201943
7 201534
8 201526
9 201220
10 201419
11 201917
12 201415
13 201011
14 20199
15 20189
16 20117
17 20176
18 20175
19 20163
20 20212

About Peter McQueen

Peter McQueen is a scholar working on Molecular Biology, Infectious Diseases, Surgery, Rehabilitation and Orthopedics and Sports Medicine, having authored 26 papers that have together received 659 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (3 papers), Elbow and Forearm Trauma Treatment (3 papers), Shoulder Injury and Treatment (3 papers), Tendon Structure and Treatment (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Cancer-related gene regulation (3 papers), SARS-CoV-2 detection and testing (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Rehabilitation (132 citations), Cancer Research (75 citations), Molecular Biology (321 citations), Orthopedics and Sports Medicine (36 citations) and Surgery (184 citations). Peter McQueen has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Mark R. Hutchinson, Jonathan N. Watson, Yi Guo, Bang H. Hoang, Xiaolin Zi, David B. Levin, Oleg V. Krokhin, Richard Sparling, John A. Wilkins and Vic Spicer. Their work appears in journals such as PROTEOMICS, The American Journal of Sports Medicine, Molecular Cancer, Proteins Structure Function and Bioinformatics and Lara D. Veeken.

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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