Matthew E. Reilly

18 papers receiving 294 citations

Peers

Matthew E. Reilly
Comparison fields: 5 of 52
  • Cell Biology 113
  • Biochemistry 39
  • Pathology and Forensic Medicine 86
  • Physiology 91
  • Rehabilitation 18
Replace Daniela Tomie Furuya with:
Daniela Tomie Furuya Brazil
Andrea Estrada United States
Marie‐Louise Dubelaar Netherlands
Francesc Fatjó Spain
Niraj Bhatt United States
Chiara Elena Tomasinelli Italy
H. Shikama Japan
Teresa Chen United States
Yeliz Angın Netherlands
RM Denton United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Matthew E. Reilly

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew E. Reilly. 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 Matthew E. Reilly. The network helps show where Matthew E. Reilly may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199758
2 199952
3 200039
4 200029
5 200027
6 200024
7 199821
8 199513
9 200010
10 20129
11 19978
12 19943
13 19953
14 20002
15 19972
16 19941
17 19981
18 19941
19 19951
20 20001

About Matthew E. Reilly

Matthew E. Reilly is a scholar working on Cell Biology, Physiology, Molecular Biology, Pathology and Forensic Medicine and Animal Science and Zoology, having authored 21 papers that have together received 305 indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (12 papers), Adipose Tissue and Metabolism (9 papers), Muscle Physiology and Disorders (4 papers), Alcohol Consumption and Health Effects (4 papers), Meat and Animal Product Quality (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Historical Studies on Reproduction, Gender, Health, and Societal Changes (1 paper) and Cardiovascular and exercise physiology (1 paper). The work is most often cited by research in Cell Biology (113 citations), Biochemistry (39 citations), Pathology and Forensic Medicine (86 citations), Physiology (91 citations) and Rehabilitation (18 citations). Matthew E. Reilly has collaborated with scholars based in United Kingdom and Japan. Frequent co-authors include Victor R. Preedy, Timothy J. Peters, David Mantle, T. J. Peters, Vinood B. Patel, Peter J. Richardson, J R Salisbury, Jenny Jones, P J Richardson and Migiwa Asano. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Biochemical Society Transactions, Biochemical Pharmacology, American Journal of Hypertension and Journal of the American College of Nutrition.

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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