Matthew Prime

779 total citations
37 papers, 441 citations indexed

About

Matthew Prime is a scholar working on Public Health, Environmental and Occupational Health, Surgery and Oncology. According to data from OpenAlex, Matthew Prime has authored 37 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Public Health, Environmental and Occupational Health, 8 papers in Surgery and 6 papers in Oncology. Recurrent topics in Matthew Prime's work include Electronic Health Records Systems (5 papers), Clinical practice guidelines implementation (3 papers) and Economic and Financial Impacts of Cancer (3 papers). Matthew Prime is often cited by papers focused on Electronic Health Records Systems (5 papers), Clinical practice guidelines implementation (3 papers) and Economic and Financial Impacts of Cancer (3 papers). Matthew Prime collaborates with scholars based in Switzerland, United Kingdom and United States. Matthew Prime's co-authors include Chaohui Guo, Saira Ghafur, Gianluca Fontana, Clarissa Gardner, Hutan Ashrafian, Richard Hammer, Ali Haydar, Ara Darzi, David Goldsmith and Yasser Bhatti and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Matthew Prime

35 papers receiving 431 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Prime Switzerland 11 116 100 73 49 46 37 441
Francesco Petracca Italy 12 155 1.3× 108 1.1× 40 0.5× 64 1.3× 32 0.7× 28 755
Jayson S. Marwaha United States 12 89 0.8× 91 0.9× 64 0.9× 35 0.7× 21 0.5× 32 442
Alexander W. Peters United States 11 82 0.7× 152 1.5× 51 0.7× 16 0.3× 63 1.4× 25 469
W. Benjamin Nowell United States 18 147 1.3× 169 1.7× 51 0.7× 17 0.3× 56 1.2× 82 944
Oriol Solà-Morales Spain 16 148 1.3× 113 1.1× 85 1.2× 28 0.6× 37 0.8× 57 857
Margaret Nolan United States 14 125 1.1× 97 1.0× 173 2.4× 23 0.5× 55 1.2× 39 729
Julia Clark United Kingdom 11 124 1.1× 122 1.2× 76 1.0× 12 0.2× 33 0.7× 29 437
Minna Lahtinen Finland 6 133 1.1× 106 1.1× 22 0.3× 29 0.6× 75 1.6× 11 462
Karen Spencer United Kingdom 9 160 1.4× 243 2.4× 103 1.4× 25 0.5× 48 1.0× 23 583
Adeel Khoja Pakistan 13 184 1.6× 91 0.9× 38 0.5× 28 0.6× 21 0.5× 54 547

Countries citing papers authored by Matthew Prime

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Prime

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Prime

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Prime. A scholar is included among the top collaborators of Matthew Prime 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 Prime. Matthew Prime 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.
Prime, Matthew, et al.. (2025). Acute Kidney Injury Secondary to Vitamin D Intoxication: A Case of Oxalate Nephropathy. Cureus. 17(11). e96305–e96305.
2.
Lajmi, Nesrine, Apostolos Tsiachristas, Kerrie Woods, et al.. (2024). Challenges and solutions to system-wide use of precision oncology as the standard of care paradigm. SHILAP Revista de lepidopterología. 2. e4–e4. 5 indexed citations
3.
Guo, Chaohui, et al.. (2024). Clinical Simulation in the Regulation of Software as a Medical Device: An eDelphi Study. JMIR Formative Research. 8. e56241–e56241. 2 indexed citations
4.
Prime, Matthew, et al.. (2023). Digital Health. Clinics in Laboratory Medicine. 43(1). 71–86. 4 indexed citations
5.
Goh, Ethan, et al.. (2023). Remote evaluation of NAVIFY Oncology Hub using clinical simulation.. Journal of Clinical Oncology. 41(16_suppl). e13622–e13622. 2 indexed citations
6.
Lau, Karen, et al.. (2023). Evolution of the clinical simulation approach to assess digital health technologies. Future Healthcare Journal. 10(2). 173–175. 3 indexed citations
8.
Love, Tara M., et al.. (2022). Development and validation of ACTE-MTB: A tool to systematically assess the maturity of molecular tumor boards. PLoS ONE. 17(5). e0268477–e0268477. 3 indexed citations
9.
Gardner, Clarissa, Gianluca Fontana, Roberto Fernández Crespo, et al.. (2022). Evaluation of a clinical decision support tool for matching cancer patients to clinical trials using simulation-based research. Health Informatics Journal. 28(2). 1197573266–1197573266. 4 indexed citations
10.
Hammer, Richard, Sharan Srinivas, Suchithra Rajendran, Chaohui Guo, & Matthew Prime. (2022). Economic impact of digital tumor board software: An evaluation of cost savings using real-world data.. Journal of Clinical Oncology. 40(16_suppl). e18794–e18794. 1 indexed citations
11.
Prime, Stephen S., Nicola Cirillo, Sok Ching Cheong, Matthew Prime, & Eric Kenneth Parkinson. (2021). Targeting the genetic landscape of oral potentially malignant disorders has the potential as a preventative strategy in oral cancer. Cancer Letters. 518. 102–114. 17 indexed citations
12.
Hammer, Richard, et al.. (2021). A digital tumor board solution impacts case discussion time and postponement of cases in tumor boards. Health and Technology. 11(3). 525–533. 7 indexed citations
13.
Guo, Chaohui, Hutan Ashrafian, Saira Ghafur, et al.. (2020). Challenges for the evaluation of digital health solutions—A call for innovative evidence generation approaches. npj Digital Medicine. 3(1). 110–110. 169 indexed citations
14.
Baron, Jason M., et al.. (2020). Development of a “meta-model” to address missing data, predict patient-specific cancer survival and provide a foundation for clinical decision support. Journal of the American Medical Informatics Association. 28(3). 605–615. 10 indexed citations
15.
Prime, Matthew, et al.. (2019). The incidence of chronic pain following tibial diaphyseal fracture.. 3(1). 1 indexed citations
16.
Kulasabanathan, Kavian, et al.. (2017). Do International Health Partnerships contribute to reverse innovation? a mixed methods study of THET-supported partnerships in the UK. Globalization and Health. 13(1). 25–25. 18 indexed citations
17.
Parkar, Sanobar, Matthew Prime, Divyesh Desai, et al.. (2010). Ileal bladder augmentation and vitamin B12: Levels decrease with time after surgery. Journal of Pediatric Urology. 8(1). 47–50. 12 indexed citations
18.
Prime, Matthew, et al.. (2010). The Use of Ionising Radiation in Trauma and Orthopaedic Theatres. Journal of Perioperative Practice. 20(5). 165–172. 5 indexed citations
19.
Prime, Matthew, et al.. (2008). Quadriceps Tendon Rupture and Periosteal Sleeve Avulsion Fracture of the Proximal Patella Pole in an Active Adolescent. Orthopedics. 31(7). 1–2. 9 indexed citations
20.
Haydar, Ali, et al.. (2003). Page kidney – A review of the literature. Journal of Nephrology. 16(3). 329–333. 40 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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