Philip Murray

3.4k citations
47 papers · 1.3k · h-index 18

Impact in

Papers in

Philip Murray

46 papers receiving 1.3k citations

Peers

Philip Murray
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 580
  • Genetics 376
  • Pediatrics, Perinatology and Child Health 190
  • Molecular Biology 528
  • Endocrine and Autonomic Systems 47
Replace Zoran Gucev with:
Zoran Gucev North Macedonia
Jürgen Klammt Germany
Sonir Roberto Rauber Antonini Brazil
Michael P. Wajnrajch United States
Hélène Choquet United States
Ε. Schoenle Switzerland
Ayfer Alikaşifoğlu Türkiye
Rachel Reynaud France
Sylvia Bähring Germany
Kálmán Kovács Hungary
Philip Murray relative to Zoran Gucev North Macedonia Zoran Gucev's profile →
Citations per field
00.5×1.6×
Zoran Gucev · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Philip Murray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Philip Murray Line = papers co-authored together Philip Murray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010275
2 2015117
3 201188
4 201382
5 200981
6 201262
7 201858
8 201656
9 201555
10 201134
11 200533
12 197728
13 201427
14 201624
15 201721
16 200821
17 197720
18 201317
19 200917
20 200817

About Philip Murray

Philip Murray is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Surgery and Pediatrics, Perinatology and Child Health, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (21 papers), RNA modifications and cancer (9 papers), Genetic Syndromes and Imprinting (6 papers), Pituitary Gland Disorders and Treatments (4 papers), Neuropeptides and Animal Physiology (4 papers), Birth, Development, and Health (4 papers), Lipid metabolism and disorders (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (580 citations), Genetics (376 citations), Pediatrics, Perinatology and Child Health (190 citations), Molecular Biology (528 citations) and Endocrine and Autonomic Systems (47 citations). Philip Murray has collaborated with scholars based in United Kingdom, United States and France. Frequent 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 Claire Higham. Their work appears in journals such as Clinical Endocrinology, Endocrine Connections, The American Journal of Human Genetics, European Journal of Endocrinology and American Journal of Medical Genetics Part C Seminars in Medical Genetics.

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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