Philip Murray

3.4k total citations
47 papers, 1.3k citations indexed

About

Philip Murray is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, Philip Murray has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Endocrinology, Diabetes and Metabolism, 21 papers in Molecular Biology and 12 papers in Genetics. Recurrent topics in Philip Murray's work include Growth Hormone and Insulin-like Growth Factors (21 papers), RNA modifications and cancer (9 papers) and Genetic Syndromes and Imprinting (6 papers). Philip Murray is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (21 papers), RNA modifications and cancer (9 papers) and Genetic Syndromes and Imprinting (6 papers). Philip Murray collaborates with scholars based in United Kingdom, United States and Denmark. Philip Murray's co-authors include Peter Clayton, Indraneel Banerjee, Andrew G. Renehan, Mehul Dattani, Dan Hanson, Graeme C. Black, Amish Chinoy, Steven D. Chernausek, Adam Stevens and Amin M. Ebeid and has published in prestigious journals such as Gastroenterology, The Journal of Clinical Endocrinology & Metabolism and PEDIATRICS.

In The Last Decade

Philip Murray

46 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Murray United Kingdom 18 580 528 376 190 131 47 1.3k
Zoran Gucev North Macedonia 19 805 1.4× 820 1.6× 417 1.1× 322 1.7× 252 1.9× 111 2.0k
Jürgen Klammt Germany 18 872 1.5× 526 1.0× 569 1.5× 325 1.7× 222 1.7× 62 1.6k
J.M.P. Holly United Kingdom 21 785 1.4× 395 0.7× 201 0.5× 203 1.1× 93 0.7× 33 1.2k
Rachel Reynaud France 24 899 1.6× 538 1.0× 495 1.3× 147 0.8× 249 1.9× 99 1.6k
W. F. Blum Germany 18 808 1.4× 387 0.7× 232 0.6× 209 1.1× 95 0.7× 31 1.6k
Sonir Roberto Rauber Antonini Brazil 24 606 1.0× 494 0.9× 224 0.6× 245 1.3× 423 3.2× 98 1.7k
Michael P. Wajnrajch United States 19 978 1.7× 444 0.8× 409 1.1× 268 1.4× 167 1.3× 63 1.4k
Ayfer Alikaşifoğlu Türkiye 20 502 0.9× 381 0.7× 240 0.6× 119 0.6× 167 1.3× 99 1.2k
J. Neulen Germany 23 223 0.4× 355 0.7× 314 0.8× 167 0.9× 63 0.5× 75 1.8k
Christine Trivin France 27 661 1.1× 677 1.3× 412 1.1× 389 2.0× 233 1.8× 56 1.8k

Countries citing papers authored by Philip Murray

Since Specialization
Citations

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

Fields of papers citing papers by Philip Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Murray

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Murray. A scholar is included among the top collaborators of Philip 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 Philip Murray. Philip 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.
Whatmore, Andrew, et al.. (2023). Diagnosis of childhood and adolescent growth hormone deficiency using transcriptomic data. Frontiers in Endocrinology. 14. 1026187–1026187. 1 indexed citations
3.
Clayton, Peter, et al.. (2023). Gene Expression Signatures Predict First-Year Response to Somapacitan Treatment in Children With Growth Hormone Deficiency. The Journal of Clinical Endocrinology & Metabolism. 109(5). 1214–1221. 4 indexed citations
4.
Clayton, Peter, et al.. (2023). OR21-01 Pre-treatment Blood Transcriptome Predicts First-year Growth And IGF-I Response To Somapacitan Treatment In Children With GH Deficiency. Journal of the Endocrine Society. 7(Supplement_1). 1 indexed citations
5.
Yau, Daphne, Maria Salomon‐Estebanez, Amish Chinoy, Philip Murray, & Indraneel Banerjee. (2018). Central Venous Cathether-Associated Thrombosis in Children with Congenital Hyperinsulinism. 1 indexed citations
6.
Murray, Philip, Adam Stevens, Chiara De Leonibus, et al.. (2018). Transcriptomics and machine learning predict diagnosis and severity of growth hormone deficiency. JCI Insight. 3(7). 15 indexed citations
7.
Murray, Philip, Peter Clayton, & Steven D. Chernausek. (2018). A genetic approach to evaluation of short stature of undetermined cause. The Lancet Diabetes & Endocrinology. 6(7). 564–574. 58 indexed citations
8.
Güemes, María, Philip Murray, Caroline Brain, et al.. (2016). Management of Cushing syndrome in children and adolescents: experience of a single tertiary centre. European Journal of Pediatrics. 175(7). 967–976. 24 indexed citations
9.
Chinoy, Amish & Philip Murray. (2016). Diagnosis of growth hormone deficiency in the paediatric and transitional age. Best Practice & Research Clinical Endocrinology & Metabolism. 30(6). 737–747. 56 indexed citations
10.
Murray, Philip, Mehul Dattani, & Peter Clayton. (2015). Controversies in the diagnosis and management of growth hormone deficiency in childhood and adolescence. Archives of Disease in Childhood. 101(1). 96–100. 117 indexed citations
11.
Hanson, Dan, Adam Stevens, Philip Murray, Graeme C. Black, & Peter Clayton. (2014). Identifying biological pathways that underlie primordial short stature using network analysis. Journal of Molecular Endocrinology. 52(3). 333–344. 27 indexed citations
12.
Murray, Philip, Dan Hanson, Adam Stevens, et al.. (2013). 3-M syndrome: a growth disorder associated with IGF2 silencing. Endocrine Connections. 2(4). 225–235. 17 indexed citations
13.
Stevens, Adam, Chiara De Leonibus, Andrew Whatmore, et al.. (2013). Pharmacogenomics Related to Growth Disorders. Hormone Research in Paediatrics. 80(6). 477–490. 6 indexed citations
14.
Murray, Philip & Peter Clayton. (2013). Endocrine Control of Growth. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 163(2). 76–85. 82 indexed citations
15.
Hanson, Dan, Philip Murray, James O’Sullivan, et al.. (2011). Exome Sequencing Identifies CCDC8 Mutations in 3-M Syndrome, Suggesting that CCDC8 Contributes in a Pathway with CUL7 and OBSL1 to Control Human Growth. The American Journal of Human Genetics. 89(1). 148–153. 88 indexed citations
16.
Clayton, Peter, Indraneel Banerjee, Philip Murray, & Andrew G. Renehan. (2010). Growth hormone, the insulin-like growth factor axis, insulin and cancer risk. Nature Reviews Endocrinology. 7(1). 11–24. 275 indexed citations
17.
Hanson, Dan, Philip Murray, Amit Sud, et al.. (2009). The Primordial Growth Disorder 3-M Syndrome Connects Ubiquitination to the Cytoskeletal Adaptor OBSL1. The American Journal of Human Genetics. 84(6). 801–806. 81 indexed citations
18.
Murray, Philip, Chris Hague, Helena Gleeson, et al.. (2009). Likelihood of persistent GH deficiency into late adolescence: relationship to the presence of an ectopic or normally sited posterior pituitary gland. Clinical Endocrinology. 71(2). 215–219. 17 indexed citations
19.
Murray, Philip, Chris Hague, Leena Patel, et al.. (2008). Associations with multiple pituitary hormone deficiency in patients with an ectopic posterior pituitary gland. Clinical Endocrinology. 69(4). 597–602. 17 indexed citations
20.
Murray, Philip, et al.. (2005). Maternal Age in Patients with Septo-optic Dysplasia. Journal of Pediatric Endocrinology and Metabolism. 18(5). 471–6. 33 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Zoran Gucev Breakdown of academic impact, for papers by Jürgen Klammt Breakdown of academic impact, for papers by J.M.P. Holly Breakdown of academic impact, for papers by Rachel Reynaud Breakdown of academic impact, for papers by W. F. Blum Breakdown of academic impact, for papers by Sonir Roberto Rauber Antonini Breakdown of academic impact, for papers by Michael P. Wajnrajch Breakdown of academic impact, for papers by Ayfer Alikaşifoğlu Breakdown of academic impact, for papers by J. Neulen Breakdown of academic impact, for papers by Christine Trivin
Rankless by CCL
2026