Peter Murray

3.0k total citations · 1 hit paper
33 papers, 2.2k citations indexed

About

Peter Murray is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics. According to data from OpenAlex, Peter Murray has authored 33 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Physiology, 7 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Nutrition and Dietetics. Recurrent topics in Peter Murray's work include Behavioral Health and Interventions (6 papers), Skin Protection and Aging (6 papers) and Physical Activity and Health (5 papers). Peter Murray is often cited by papers focused on Behavioral Health and Interventions (6 papers), Skin Protection and Aging (6 papers) and Physical Activity and Health (5 papers). Peter Murray collaborates with scholars based in United Kingdom, Netherlands and United States. Peter Murray's co-authors include Tina Hurst, Michael Catt, Alex V. Rowlands, Roger Eston, Robert Hurling, Dale Esliger, B. W. Fairley, Shaoyan Zhang, Marco De Boni and Jaspreet Singh Sodhi and has published in prestigious journals such as PLoS ONE, American Journal of Clinical Nutrition and Current Biology.

In The Last Decade

Peter Murray

33 papers receiving 2.1k citations

Hit Papers

Validation of the GENEA Accelerometer 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Murray United Kingdom 21 728 508 489 277 274 33 2.2k
Michael Catt United Kingdom 23 1.4k 2.0× 894 1.8× 670 1.4× 167 0.6× 288 1.1× 48 3.3k
Thomas Stephens United States 18 969 1.3× 702 1.4× 398 0.8× 194 0.7× 345 1.3× 73 2.6k
Thomas Ritz United States 41 1.3k 1.8× 308 0.6× 392 0.8× 61 0.2× 301 1.1× 175 4.9k
Jet Veldhuijzen Zanten United Kingdom 33 620 0.9× 154 0.3× 178 0.4× 41 0.1× 209 0.8× 130 4.0k
José Francisco Tornero-Aguilera Spain 31 855 1.2× 346 0.7× 267 0.5× 20 0.1× 113 0.4× 103 3.3k
Janice Y. Bunn United States 35 1.6k 2.1× 617 1.2× 467 1.0× 17 0.1× 288 1.1× 119 4.4k
Robert Walton United Kingdom 40 1.4k 1.9× 448 0.9× 558 1.1× 24 0.1× 376 1.4× 103 4.9k
Charalambos Gnardellis Greece 25 942 1.3× 1.6k 3.1× 316 0.6× 39 0.1× 73 0.3× 53 3.7k
Xuewen Wang China 30 850 1.2× 562 1.1× 158 0.3× 37 0.1× 36 0.1× 168 3.1k
Marilyn S. Sommers United States 29 208 0.3× 300 0.6× 502 1.0× 82 0.3× 51 0.2× 123 2.4k

Countries citing papers authored by Peter Murray

Since Specialization
Citations

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

Fields of papers citing papers by Peter Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Murray

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Murray. A scholar is included among the top collaborators of Peter 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 Peter Murray. Peter 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.
Wu, Sijie, Min Zhang, Jinxi Li, et al.. (2023). Scalp hair loss is not random across follicular units: A new insight into human hair ageing. International Journal of Cosmetic Science. 45(4). 548–555. 1 indexed citations
2.
Mela, David J., Mark Fowler, Manoj Joshi, et al.. (2020). The effect of 8 plant extracts and combinations on post-prandial blood glucose and insulin responses in healthy adults: a randomized controlled trial. Nutrition & Metabolism. 17(1). 51–51. 14 indexed citations
3.
Eilander, Ans, Diego Moretti, Michael Zimmermann, et al.. (2019). High Bioavailability from Ferric Pyrophosphate-Fortified Bouillon Cubes in Meals is Not Increased by Sodium Pyrophosphate: a Stable Iron Isotope Study in Young Nigerian Women. Journal of Nutrition. 149(5). 723–729. 5 indexed citations
4.
Boers, Hanny M., et al.. (2016). Efficacy of different fibres and flour mixes in South-Asian flatbreads for reducing post-prandial glucose responses in healthy adults. European Journal of Nutrition. 56(6). 2049–2060. 22 indexed citations
5.
Liu, Fan, Merel A. Hamer, Joris Deelen, et al.. (2016). The MC1R Gene and Youthful Looks. Current Biology. 26(9). 1213–1220. 55 indexed citations
6.
Cercamondi, Colin I., Guus Duchateau, Rajwinder K. Harika, et al.. (2016). Sodium pyrophosphate enhances iron bioavailability from bouillon cubes fortified with ferric pyrophosphate. British Journal Of Nutrition. 116(3). 496–503. 29 indexed citations
7.
Gunn, David A., Diana van Heemst, C.E.M. Griffiths, et al.. (2015). Lifestyle and youthful looks. British Journal of Dermatology. 172(5). 1338–1345. 14 indexed citations
9.
Jackson, Kim G., Peter Murray, Adrian Smith, et al.. (2013). Greater impairment of postprandial triacylglycerol than glucose response in metabolic syndrome subjects with fasting hyperglycaemia. Metabolism. 62(8). 1065–1069. 4 indexed citations
10.
Gunn, David A., Anton J.M. de Craen, Cyrena C. Tomlin, et al.. (2012). Facial Appearance Reflects Human Familial Longevity and Cardiovascular Disease Risk in Healthy Individuals. The Journals of Gerontology Series A. 68(2). 145–152. 37 indexed citations
11.
Zhang, Shaoyan, et al.. (2012). Activity Classification Using the GENEA. Medicine & Science in Sports & Exercise. 44(11). 2228–2234. 50 indexed citations
12.
Zhang, Shaoyan, Alex V. Rowlands, Peter Murray, & Tina Hurst. (2011). Physical Activity Classification Using the GENEA Wrist-Worn Accelerometer. Medicine & Science in Sports & Exercise. 44(4). 742–748. 177 indexed citations
13.
Murray, Peter, et al.. (2011). Exploratory Study of Web-Based Planning and Mobile Text Reminders in an Overweight Population. Journal of Medical Internet Research. 13(4). e118–e118. 24 indexed citations
14.
Mayes, Andrew E., Peter Murray, David A. Gunn, et al.. (2010). Environmental and Lifestyle Factors Associated with Perceived Facial Age in Chinese Women. PLoS ONE. 5(12). e15270–e15270. 42 indexed citations
15.
Jackson, Kim G., Peter Murray, Julie A. Lovegrove, et al.. (2009). Introduction to the DISRUPT postprandial database: subjects, studies and methodologies. Genes & Nutrition. 5(1). 39–48. 21 indexed citations
16.
Jackson, Kim G., Adrian Smith, Peter Murray, et al.. (2009). Impact of age and menopausal status on the postprandial triacylglycerol response in healthy women. Atherosclerosis. 208(1). 246–252. 25 indexed citations
17.
Gunn, David A., Helle Rexbye, C.E.M. Griffiths, et al.. (2009). Why Some Women Look Young for Their Age. PLoS ONE. 4(12). e8021–e8021. 161 indexed citations
18.
Gunn, David A., Peter Murray, Cyrena C. Tomlin, et al.. (2008). Perceived age as a biomarker of ageing: a clinical methodology. Biogerontology. 9(5). 357–364. 38 indexed citations
19.
Franco, Oscar H., et al.. (2007). Dietary nutrient intakes and skin-aging appearance among middle-aged American women. American Journal of Clinical Nutrition. 86(4). 1225–1231. 101 indexed citations
20.
Diraviyam, Karthikeyan, Jun Wang, Shashi Prakash Singh, et al.. (2006). The role of electrostatics in protein–membrane interactions. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1761(8). 812–826. 164 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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