Andrew J. Murray

8.5k citations
125 papers · 5.5k indexed · 1 hit paper · h-index 46

Andrew J. Murray

122 papers receiving 5.4k citations

Hit Papers

Nutritional Ketosis Alters Fuel Preference and Thereby En...20162026201920222016100200300400

Peers

Andrew J. Murray
Comparison fields: 5 of 140
  • Physiology 2.3k
  • Molecular Biology 1.9k
  • Cardiology and Cardiovascular Medicine 879
  • Genetics 871
  • Pediatrics, Perinatology and Child Health 664
Replace Jun Takeda with:
Jun Takeda Japan
Terry G. Unterman United States
Carlos J. Pirola Argentina
John Papaconstantinou United States
R. Clinton Webb United States
Harald Staiger Germany
Maureen Charron United States
Elaine J. Carlson United States
Carlos Alberto Mandarim‐de‐Lacerda Brazil
Christian Wolfrum Switzerland
Andrew J. Murray relative to Jun Takeda Japan Jun Takeda's profile →
Citations per field
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Citations per year

Countries citing papers authored by Andrew J. Murray

Since Specialization
Citations

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

Fields of papers citing papers by Andrew J. Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Murray. A scholar is included among the top collaborators of Andrew J. 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 Andrew J. Murray. Andrew J. 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
#WorkIndexed citations
1 1
2 2
3 6
4 9
5 2
6 6
7 28
8 12
9 59
10 83
11 7
12 151
13 76
14 67
15
Hypoxia induces electron transport chain dysfunction in human placental mitochondria
1
16 86
17
Plasma free fatty acids and energy depletion in failing human hearts
1
18
Cardiac insulin resistance post-myocardial infarction
1
19 1
20
An apparatus for recording milk-flow curves of cows milked by machines.
1

About Andrew J. Murray

Andrew J. Murray is a scholar working on Physiology, Clinical Biochemistry and Obstetrics and Gynecology, having authored 125 papers that have together received 5.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (49 papers), Mitochondrial Function and Pathology (28 papers) and High Altitude and Hypoxia (25 papers). The work is most often cited by research in Physiology (2.3k citations), Obstetrics and Gynecology (555 citations) and Endocrine and Autonomic Systems (365 citations). Andrew J. Murray has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Kieran Clarke, Julian L. Griffin, Graham J. Burton, Stefan Neubauer, James A. Horscroft, Tom Ashmore, Mark A. Cole, Lowri E. Cochlin, Hong Wa Yung and Nicholas Knight. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

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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