Philip M. Simpson

775 citations
20 papers · 517 indexed · 1 hit paper · h-index 11
Topics
Orthopaedic implants and arthroplasty (14 papers)Orthopedic Infections and Treatments (14 papers)Total Knee Arthroplasty Outcomes (14 papers)

In The Last Decade

Philip M. Simpson

18 papers receiving 500 citations

Hit Papers

Robotic‐arm assisted total knee arthroplasty is associate...202120262022202420214080120

Peers

Philip M. Simpson
Comparison fields: 5 of 52
  • Surgery 460
  • Internal Medicine 32
  • Cardiology and Cardiovascular Medicine 31
  • Infectious Diseases 28
  • Epidemiology 26
Replace Miguel M. Gómez with:
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Gavin J. Macpherson United Kingdom
Venkatsaiakhil Tirumala United States
Tejbir S. Pannu United States
Manjunath C. Nanjappa India
Noman Shahzad Pakistan
Juan C. Suárez United States
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Alexandre Le Guyader France
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Philip M. Simpson relative to Miguel M. Gómez United States Miguel M. Gómez's profile →
Citations per field
00.5×
Miguel M. Gómez · 1×
Citations per year

Countries citing papers authored by Philip M. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Philip M. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip M. Simpson. 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 Philip M. Simpson. The network helps show where Philip M. Simpson may publish in the future.

Co-authorship network of co-authors of Philip M. Simpson

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 1
6 10
7
Robotic‐arm assisted total knee arthroplasty is associated with improved accuracy and patient reported outcomes: a systematic review and meta‐analysisbreakdown →
146
8 73
9 3
10 47
11 33
12 10
13 22
14 58
15 2
16 35
17 12
18 28
19 9
20 26

About Philip M. Simpson

Philip M. Simpson is a scholar working on Surgery, Internal Medicine and Critical Care and Intensive Care Medicine, having authored 20 papers that have together received 517 indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (14 papers), Orthopedic Infections and Treatments (14 papers) and Total Knee Arthroplasty Outcomes (14 papers). The work is most often cited by research in Surgery (460 citations), Internal Medicine (32 citations) and Health Informatics (5 citations). Philip M. Simpson has collaborated with scholars based in United Kingdom, Australia and Germany. Frequent co-authors include James T. Patton, Nick D. Clement, Paul Gaston, Gavin J. Macpherson, Nathan Ng, Junren Zhang, G Dall, David Hamilton, Steffen Breusch and S. J. Breusch. Their work appears in journals such as The Journal of Arthroplasty, Knee Surgery Sports Traumatology Arthroscopy and Journal of Clinical Medicine.

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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