Philip M. Simpson

775 total citations · 1 hit paper
20 papers, 517 citations indexed

About

Philip M. Simpson is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Rheumatology. According to data from OpenAlex, Philip M. Simpson has authored 20 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Rheumatology. Recurrent topics in Philip M. Simpson's work include Orthopaedic implants and arthroplasty (14 papers), Orthopedic Infections and Treatments (14 papers) and Total Knee Arthroplasty Outcomes (14 papers). Philip M. Simpson is often cited by papers focused on Orthopaedic implants and arthroplasty (14 papers), Orthopedic Infections and Treatments (14 papers) and Total Knee Arthroplasty Outcomes (14 papers). Philip M. Simpson collaborates with scholars based in United Kingdom, Australia and Germany. Philip M. Simpson's 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 and has published in prestigious journals such as The Journal of Arthroplasty, Knee Surgery Sports Traumatology Arthroscopy and Journal of Clinical Medicine.

In The Last Decade

Philip M. Simpson

18 papers receiving 500 citations

Hit Papers

Robotic‐arm assisted total knee arthroplasty is associate... 2021 2026 2022 2024 2021 40 80 120

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Philip M. Simpson United Kingdom 11 460 32 31 28 26 20 517
Miguel M. Gómez United States 8 453 1.0× 32 1.0× 24 0.8× 7 0.3× 8 0.3× 12 508
Juan C. Suárez United States 14 578 1.3× 13 0.4× 22 0.7× 7 0.3× 25 1.0× 36 615
Gavin J. Macpherson United Kingdom 11 222 0.5× 11 0.3× 8 0.3× 16 0.6× 12 0.5× 29 286
Marcelo Siqueira United States 13 533 1.2× 31 1.0× 33 1.1× 11 0.4× 67 2.6× 21 586
Tejbir S. Pannu United States 12 371 0.8× 8 0.3× 14 0.5× 14 0.5× 19 0.7× 36 398
Venkatsaiakhil Tirumala United States 15 578 1.3× 10 0.3× 47 1.5× 4 0.1× 15 0.6× 36 616
Rie Goto United States 9 172 0.4× 19 0.6× 10 0.3× 4 0.1× 14 0.5× 13 226
Noman Shahzad Pakistan 8 127 0.3× 8 0.3× 9 0.3× 5 0.2× 10 0.4× 38 198
P Eyers United Kingdom 8 210 0.5× 44 1.4× 40 1.3× 11 0.4× 26 1.0× 10 249
Manjunath C. Nanjappa India 11 110 0.2× 42 1.3× 123 4.0× 14 0.5× 91 3.5× 61 264

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
1.
Simpson, Philip M., et al.. (2026). Learning curve of robotic arm-assisted versus manual unicompartmental knee arthroplasty. Bone & Joint Open. 7(1). 37–46.
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Hamilton, David, Paul Gaston, Gavin J. Macpherson, Philip M. Simpson, & Nick D. Clement. (2023). Nexus Evaluation Primary Trident II UNcemented shEll (NEPTUNE). Bone & Joint Open. 4(10). 782–790. 1 indexed citations
5.
Gaston, Paul, et al.. (2023). Early muscle recovery following robotic-assisted unicompartmental knee arthroplasty. BMC Research Notes. 16(1). 86–86. 1 indexed citations
6.
Clement, Nick D., Paul Gaston, David Hamilton, et al.. (2022). A Cost-Utility Analysis of Robotic Arm-Assisted Total Hip Arthroplasty: Using Robotic Data from the Private Sector and Manual Data from the National Health Service. Advances in Orthopedics. 2022. 1–8. 10 indexed citations
7.
Zhang, Junren, Nathan Ng, Paul Gaston, et al.. (2021). Robotic‐arm assisted total knee arthroplasty is associated with improved accuracy and patient reported outcomes: a systematic review and meta‐analysis. Knee Surgery Sports Traumatology Arthroscopy. 30(8). 2677–2695. 146 indexed citations breakdown →
8.
Ng, Nathan, Paul Gaston, Philip M. Simpson, et al.. (2021). Robotic arm-assisted versus manual total hip arthroplasty. The Bone & Joint Journal. 103-B(6). 1009–1020. 73 indexed citations
9.
Zhang, Junren, Nathan Ng, Paul Gaston, et al.. (2021). Correction to: Robotic‑arm assisted total knee arthroplasty is associated with improved accuracy and patient reported outcomes: a systematic review and meta‑analysis. Knee Surgery Sports Traumatology Arthroscopy. 30(8). 2696–2697. 3 indexed citations
10.
Clement, Nick D., Paul Gaston, Philip M. Simpson, et al.. (2020). Robotic arm-assisted versus manual total hip arthroplasty. Bone and Joint Research. 10(1). 22–30. 47 indexed citations
12.
Scott, Chloe E. H., et al.. (2018). Revision of Unicompartmental to Total Knee Arthroplasty: Does the Unicompartmental Implant (Metal-Backed vs All-Polyethylene) Impact the Total Knee Arthroplasty?. The Journal of Arthroplasty. 33(7). 2203–2209. 10 indexed citations
13.
Hamilton, David, Philip M. Simpson, James T. Patton, C. R. Howie, & Richard Burnett. (2016). Aseptic Revision Knee Arthroplasty With Total Stabilizer Prostheses Achieves Similar Functional Outcomes to Primary Total Knee Arthroplasty at 2 Years: A Longitudinal Cohort Study. The Journal of Arthroplasty. 32(4). 1234–1240.e1. 22 indexed citations
14.
McDougall, Catherine, et al.. (2012). Complications Related to Therapeutic Anticoagulation in Total Hip Arthroplasty. The Journal of Arthroplasty. 28(1). 187–192. 58 indexed citations
15.
Simpson, Philip M., et al.. (2011). Scaling Digital Radiographs for Templating in Total Hip Arthroplasty Using Conventional Acetate Templates Independent of Calibration Markers. The Journal of Arthroplasty. 27(4). 643–647. 2 indexed citations
16.
Jenkins, Paul J., Kar Hao Teoh, Philip M. Simpson, et al.. (2010). Clostridium difficile in patients undergoing primary hip and knee replacement. Journal of Bone and Joint Surgery - British Volume. 92-B(7). 994–998. 35 indexed citations
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Dall, G, Philip M. Simpson, & Steffen Breusch. (2007). In vitro comparison of Refobacin-Palacos R with Refobacin Bone Cement and Palacos R + G. Acta Orthopaedica. 78(3). 404–411. 28 indexed citations
19.
Simpson, Philip M., Robin Reid, & Daniel Porter. (2005). Ewing′s Sarcoma of the Upper Extremity: Presenting Symptoms, Diagnostic Delay and Outcome. Sarcoma. 9(1-2). 15–20. 9 indexed citations
20.
Simpson, Philip M., G Dall, S. J. Breusch, & Christian Heisel. (2005). In-vitro-Freisetzung von Antibiotika aus SmartSet HV- und Palacos R-Knochenzement und deren Einfluss auf die mechanischen Eigenschaften. Der Orthopäde. 34(12). 1255–1262. 26 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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