David Murray

934 total citations
20 papers, 701 citations indexed

About

David Murray is a scholar working on Surgery, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David Murray has authored 20 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 4 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in David Murray's work include Total Knee Arthroplasty Outcomes (9 papers), Orthopaedic implants and arthroplasty (7 papers) and Knee injuries and reconstruction techniques (4 papers). David Murray is often cited by papers focused on Total Knee Arthroplasty Outcomes (9 papers), Orthopaedic implants and arthroplasty (7 papers) and Knee injuries and reconstruction techniques (4 papers). David Murray collaborates with scholars based in United Kingdom, Ireland and United States. David Murray's co-authors include Richard Morris, Ray Fitzpatrick, Peter Doran, Barnaby C Reeves, P. J. Gregg, Padraic MacMathúna, Alan C. Moss, Alastair Gray, Suzanne Breeman and Marion Campbell and has published in prestigious journals such as Journal of Bone and Joint Surgery, Biochemical and Biophysical Research Communications and Kidney International.

In The Last Decade

David Murray

19 papers receiving 686 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Murray United Kingdom 14 348 136 62 56 56 20 701
Steven C. Hoffmann United States 9 154 0.4× 114 0.8× 47 0.8× 25 0.4× 36 0.6× 11 676
W.H. van der Laan Netherlands 15 99 0.3× 126 0.9× 37 0.6× 88 1.6× 13 0.2× 28 751
Stephen Ryan United States 13 104 0.3× 264 1.9× 9 0.1× 14 0.3× 26 0.5× 47 707
Austin D. Williams United States 11 73 0.2× 66 0.5× 26 0.4× 15 0.3× 61 1.1× 55 426
Roland Ott Germany 8 148 0.4× 93 0.7× 27 0.4× 16 0.3× 12 0.2× 14 411
Vincent Obias United States 17 559 1.6× 231 1.7× 34 0.5× 9 0.2× 60 1.1× 53 1.0k
Soumya Sundaram India 13 63 0.2× 83 0.6× 51 0.8× 29 0.5× 8 0.1× 66 520
Niamh Murphy Ireland 12 126 0.4× 313 2.3× 31 0.5× 8 0.1× 12 0.2× 30 714
Preetha Madhukumar Singapore 15 175 0.5× 58 0.4× 61 1.0× 11 0.2× 9 0.2× 36 683
Bob Zhong United States 11 348 1.0× 512 3.8× 42 0.7× 19 0.3× 16 0.3× 25 1.2k

Countries citing papers authored by David Murray

Since Specialization
Citations

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

Fields of papers citing papers by David Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Murray

This figure shows the co-authorship network connecting the top 25 collaborators of David Murray. A scholar is included among the top collaborators of David Murray 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 David Murray. David Murray 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.
2.
Sohel, Ferdous, et al.. (2022). Deep learning-based detection of aphid colonies on plants from a reconstructed Brassica image dataset. Computers and Electronics in Agriculture. 205. 107587–107587. 16 indexed citations
3.
O’Halloran, Philip J., Thomas Viel, David Murray, et al.. (2016). Mechanistic interrogation of combination bevacizumab/dual PI3K/mTOR inhibitor response in glioblastoma implementing novel MR and PET imaging biomarkers. European Journal of Nuclear Medicine and Molecular Imaging. 43(9). 1673–1683. 12 indexed citations
4.
Zakaria, Zaitun, Amanda Tivnan, Lorna Flanagan, et al.. (2015). Patient-derived glioblastoma cells show significant heterogeneity in treatment responses to the inhibitor-of-apoptosis-protein antagonist birinapant. British Journal of Cancer. 114(2). 188–198. 14 indexed citations
5.
Ećimović, P., David Murray, Peter Doran, & Donal J. Buggy. (2014). Propofol and bupivacaine in breast cancer cell function in vitro - role of the NET1 gene.. PubMed. 34(3). 1321–31. 59 indexed citations
6.
Murray, David, Graeme MacLennan, Suzanne Breeman, et al.. (2014). A randomised controlled trial of the clinical effectiveness and cost-effectiveness of different knee prostheses: the Knee Arthroplasty Trial (KAT). Health Technology Assessment. 18(19). 1–235, vii. 101 indexed citations
7.
Breeman, Suzanne, Marion Campbell, Helen Dakin, et al.. (2013). Five-year results of a randomised controlled trial comparing mobile and fixed bearings in total knee replacement. The Bone & Joint Journal. 95-B(4). 486–492. 30 indexed citations
8.
Breeman, Suzanne, Marion Campbell, Helen Dakin, et al.. (2011). Patellar Resurfacing in Total Knee Replacement: Five-Year Clinical and Economic Results of a Large Randomized Controlled Trial. Journal of Bone and Joint Surgery. 93(16). 1473–1481. 75 indexed citations
9.
Ećimović, P., et al.. (2010). Direct effect of sevoflurane on breast cancer cell function in vitro. European Journal of Anaesthesiology. 27. 1–1. 5 indexed citations
10.
Murray, David, Peter Doran, Padraic MacMathúna, & Alan C. Moss. (2007). In silico gene expression analysis – an overview. Molecular Cancer. 6(1). 50–50. 42 indexed citations
11.
Leyden, J, David Murray, Alan C. Moss, et al.. (2006). Net1 and Myeov: computationally identified mediators of gastric cancer. British Journal of Cancer. 94(8). 1204–1212. 62 indexed citations
12.
Moss, Alan C., Garrett Lawlor, David Murray, et al.. (2006). ETV4 and Myeov knockdown impairs colon cancer cell line proliferation and invasion. Biochemical and Biophysical Research Communications. 345(1). 216–221. 49 indexed citations
13.
Sadlier, Denise M., Xuesong Ouyang, Blaithin A. McMahon, et al.. (2005). Microarray and bioinformatic detection of novel and established genes expressed in experimental anti-Thy1 nephritis. Kidney International. 68(6). 2542–2561. 21 indexed citations
14.
Fitzpatrick, Ray, Josephine M. Norquist, Barnaby C Reeves, et al.. (2004). Equity and need when waiting for total hip replacement surgery. Journal of Evaluation in Clinical Practice. 10(1). 3–9. 42 indexed citations
15.
Fitzpatrick, Ray, Josephine M. Norquist, Crispin Jenkinson, et al.. (2004). A comparison of Rasch with Likert scoring to discriminate between patients' evaluations of total hip replacement surgery. Quality of Life Research. 13(2). 331–338. 36 indexed citations
16.
Goodfellow, John, John O’Connor, & David Murray. (2002). The Oxford meniscal unicompartmental knee.. PubMed. 15(4). 240–6. 36 indexed citations
17.
Hajat, Shakoor, Ray Fitzpatrick, Richard Morris, et al.. (2002). Does waiting for total hip replacement matter? Prospective cohort study. Journal of Health Services Research & Policy. 7(1). 19–25. 87 indexed citations
18.
Morris, Richard, Ray Fitzpatrick, Shakoor Hajat, et al.. (2001). Primary total hip replacement: variations in patient management in Oxford & Anglia, Trent, Yorkshire & Northern 'regions'.. PubMed. 83(3). 190–6. 9 indexed citations
19.
Murray, David, et al.. (1997). Thromboprophylaxis and death after total hip replacement. Journal of Orthopaedic Nursing. 1(2). 103–103. 4 indexed citations
20.
Murray, David. (1996). Author’s reply. Journal of Bone and Joint Surgery - British Volume. 78-B(3). 510–510. 1 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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