Michael Murray

628 citations
8 papers · 227 · h-index 8

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
    • Eicosanoids and Hypertension Pharmacology

Papers in

    • Drug Transport and Resistance Mechanisms 5
    • Pharmacogenetics and Drug Metabolism 3
    • Drug-Induced Hepatotoxicity and Protection 2

Michael Murray

8 papers receiving 222 citations

Peers

Michael Murray
Comparison fields: 5 of 67
  • Pharmacology 110
  • Biochemistry 28
  • Oncology 77
  • Ecological Modeling 11
  • Clinical Biochemistry 12
Replace Angélica Müller with:
Angélica Müller Argentina
Edward J. Carlini United States
A. Kappas United States
Mio Hirayama‐Kurogi Japan
Françoise Raffalli‐Mathieu Sweden
Joseph T. Martin United States
Francesca N. Hudson United States
Choon‐Myung Lee United States
Benjamin A. Kandel Germany
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Citations per field
00.5×7.9×
Angélica Müller · 1×
Citations per year

Countries citing papers authored by Michael Murray

Since Specialization
Citations

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

Fields of papers citing papers by Michael Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael 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 Michael Murray Line = papers co-authored together Michael Murray links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 198961
2 199546
3 199130
4 202323
5 201722
6 201019
7 199413
8 201113

About Michael Murray

Michael Murray is a scholar working on Oncology, Pharmacology, Clinical Biochemistry, Physiology and Infectious Diseases, having authored 8 papers that have together received 227 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Metabolism and Genetic Disorders (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Pharmacological Effects and Toxicity Studies (1 paper), Neuroscience of respiration and sleep (1 paper), Species Distribution and Climate Change (1 paper) and HIV/AIDS drug development and treatment (1 paper). The work is most often cited by research in Pharmacology (110 citations), Biochemistry (28 citations), Oncology (77 citations), Ecological Modeling (11 citations) and Clinical Biochemistry (12 citations). Michael Murray has collaborated with scholars based in Australia, Singapore and Ireland. Frequent co-authors include Gordon F. Reidy, Ishita Mehta, Geoffrey C. Farrell, Xing‐Mai Jiang, Christopher Liddle, Jiezhong Chen, Geoffrey C. Farrell, Mathew S. Crowther, Alison Butler and Edmund Jon Deoon Lee. Their work appears in journals such as Drug Metabolism and Pharmacokinetics, EBioMedicine, Chemical Research in Toxicology, Molecular Pharmacology and Archives of Biochemistry and Biophysics.

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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