J. C. Murray

896 total citations
41 papers, 570 citations indexed

About

J. C. Murray is a scholar working on Oceanography, Atmospheric Science and Mechanics of Materials. According to data from OpenAlex, J. C. Murray has authored 41 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oceanography, 6 papers in Atmospheric Science and 5 papers in Mechanics of Materials. Recurrent topics in J. C. Murray's work include Ocean Waves and Remote Sensing (9 papers), Arctic and Antarctic ice dynamics (6 papers) and Frailty in Older Adults (4 papers). J. C. Murray is often cited by papers focused on Ocean Waves and Remote Sensing (9 papers), Arctic and Antarctic ice dynamics (6 papers) and Frailty in Older Adults (4 papers). J. C. Murray collaborates with scholars based in United Kingdom, Saudi Arabia and United States. J. C. Murray's co-authors include Nicola J. Curtin, Richard Dodds, Avan Aihie Sayer, Alan V. Boddy, Siân Robinson, Julieann Sludden, Richard O’Sullivan, Raffaella Mangano, Gary D Acton and Antoneta Granic and has published in prestigious journals such as Blood, Clinical Cancer Research and British Journal of Cancer.

In The Last Decade

J. C. Murray

34 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. C. Murray United Kingdom 11 247 183 95 88 77 41 570
Agathe Bajard France 14 542 2.2× 127 0.7× 58 0.6× 33 0.4× 21 0.3× 29 1.0k
M. Monica Gramatges United States 16 161 0.7× 194 1.1× 207 2.2× 213 2.4× 111 1.4× 67 763
Chen Mi China 16 81 0.3× 308 1.7× 30 0.3× 25 0.3× 21 0.3× 60 910
Svein Inge Helle Norway 18 429 1.7× 203 1.1× 34 0.4× 24 0.3× 34 0.4× 41 1.1k
Lori Wilson United States 14 268 1.1× 324 1.8× 41 0.4× 40 0.5× 9 0.1× 38 872
Boris Gershman United States 25 191 0.8× 475 2.6× 37 0.4× 31 0.4× 8 0.1× 99 1.6k
Xiaoyu Lai China 20 172 0.7× 297 1.6× 82 0.9× 146 1.7× 526 6.8× 124 1.3k
Y Saito Japan 8 149 0.6× 95 0.5× 35 0.4× 51 0.6× 207 2.7× 28 537
Diana Caragacianu United States 13 168 0.7× 292 1.6× 37 0.4× 11 0.1× 16 0.2× 20 754
Ahmed A. Suleiman Germany 16 70 0.3× 48 0.3× 45 0.5× 20 0.2× 43 0.6× 42 561

Countries citing papers authored by J. C. Murray

Since Specialization
Citations

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

Fields of papers citing papers by J. C. Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. C. Murray

This figure shows the co-authorship network connecting the top 25 collaborators of J. C. Murray. A scholar is included among the top collaborators of J. C. 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 J. C. Murray. J. C. 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.
Murray, J. C. & Pete Philipson. (2023). Fast estimation for generalised multivariate joint models using an approximate EM algorithm. Computational Statistics & Data Analysis. 187. 107819–107819.
2.
Murray, J. C. & Pete Philipson. (2022). A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data. Computational Statistics & Data Analysis. 170. 107438–107438. 10 indexed citations
3.
Richardson, Sarah, J. C. Murray, Daniel Davis, et al.. (2021). Delirium and Delirium Severity Predict the Trajectory of the Hierarchical Assessment of Balance and Mobility in Hospitalized Older People: Findings From the DECIDE Study. The Journals of Gerontology Series A. 77(3). 531–535. 8 indexed citations
4.
Dodds, Richard, J. C. Murray, Antoneta Granic, et al.. (2021). Prevalence and factors associated with poor performance in the 5‐chair stand test: findings from the Cognitive Function and Ageing Study II and proposed Newcastle protocol for use in the assessment of sarcopenia. Journal of Cachexia Sarcopenia and Muscle. 12(2). 308–318. 41 indexed citations
5.
Dodds, Richard, J. C. Murray, Siân Robinson, & Avan Aihie Sayer. (2020). The identification of probable sarcopenia in early old age based on the SARC-F tool and clinical suspicion: findings from the 1946 British birth cohort. European Geriatric Medicine. 11(3). 433–441. 45 indexed citations
6.
O’Sullivan, Richard, R O’Donnell, J. C. Murray, et al.. (2016). Ovarian Cancers Harbor Defects in Nonhomologous End Joining Resulting in Resistance to Rucaparib. Clinical Cancer Research. 23(8). 2050–2060. 62 indexed citations
7.
Schwab, Claire, Sarra Ryan, Lucy Chilton, et al.. (2016). EBF1-PDGFRB fusion in pediatric B-cell precursor acute lymphoblastic leukemia (BCP-ALL): genetic profile and clinical implications. Blood. 127(18). 2214–2218. 80 indexed citations
9.
Parrish, Karen E., Ling Cen, J. C. Murray, et al.. (2015). Efficacy of PARP Inhibitor Rucaparib in Orthotopic Glioblastoma Xenografts Is Limited by Ineffective Drug Penetration into the Central Nervous System. Molecular Cancer Therapeutics. 14(12). 2735–2743. 66 indexed citations
10.
Murray, J. C., Huw D. Thomas, P. Berry, et al.. (2014). Tumour cell retention of rucaparib, sustained PARP inhibition and efficacy of weekly as well as daily schedules. British Journal of Cancer. 110(8). 1977–1984. 33 indexed citations
11.
Das, Indra J., et al.. (1994). Dosimetric problems at low monitor unit settings for scanned and scattering foil electron beams. Medical Physics. 21(6). 821–826. 11 indexed citations
12.
Murray, J. C.. (1982). On the slow steady motion of a viscous fluid due to two rotating tori. Acta Mechanica. 42(1-2). 3–10. 1 indexed citations
13.
Murray, J. C.. (1981). On the boundary value problem associated with a general twisted tube with a uniform nonrotating section. Quarterly of Applied Mathematics. 39(3). 341–349.
14.
Murray, J. C.. (1977). Gurtin-type properties associated with solutions of the transient plate bending problem. Journal of Elasticity. 7(1). 79–86. 2 indexed citations
15.
Murray, J. C.. (1976). Some properties associated with a class of gravity wave problems. Zeitschrift für angewandte Mathematik und Physik. 27(6). 885–885.
16.
Mangler, K. W. & J. C. Murray. (1975). Systems of coordinates suitable for the numerical calculation of three-dimensional flow fields. STIN. 77. 28437. 1 indexed citations
17.
Murray, J. C.. (1974). A second variational principle for the transient linear capillary-gravity wave problem. Lettere al nuovo cimento della societa italiana di fisica/Lettere al nuovo cimento. 10(18). 804–808. 1 indexed citations
18.
Murray, J. C.. (1973). A Note on Some Variational Principles for a Class of Linear Initial-Boundary Value Problems. IMA Journal of Applied Mathematics. 12(2). 119–123. 2 indexed citations
19.
Murray, J. C. & F. O. Carta. (1972). Lifting Surface Theory for Statically Operating Propellers.. Defense Technical Information Center (DTIC). 2 indexed citations
20.
Murray, J. C.. (1972). A Note on a General Linear Initial-Boundary Value Problem. IMA Journal of Applied Mathematics. 10(3). 305–311. 6 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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