Matthew Skinner

1.1k citations
28 papers · 556 · h-index 15

Impact in

Papers in

Matthew Skinner

28 papers receiving 540 citations

Peers

Matthew Skinner
Comparison fields: 5 of 86
  • Cardiology and Cardiovascular Medicine 226
  • Endocrine and Autonomic Systems 49
  • Small Animals 35
  • Biomaterials 56
  • Genetics 40
Replace Michael Coronado with:
Michael Coronado United States
Kelly Conlon United Kingdom
Cecilia Brännmark Sweden
Cuilan Hou China
J. Nilsson Sweden
Suzan K. Hanna United States
Christina M. Buchanan New Zealand
Stefania Zimbone Italy
Brian Anderson United States
Przemysław Wielgat Poland
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Skinner

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Skinner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199666
2 201745
3 201742
4 201539
5 201337
6 201836
7 201530
8 202226
9 201223
10 200222
11 199819
12 201519
13 201718
14 201718
15 201716
16 201214
17 201813
18 201613
19 201512
20 201211

About Matthew Skinner

Matthew Skinner is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Organic Chemistry, Biomaterials and Pharmacology, having authored 28 papers that have together received 556 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (10 papers), Ion channel regulation and function (5 papers), Nanoparticle-Based Drug Delivery (3 papers), Receptor Mechanisms and Signaling (3 papers), Neuroscience of respiration and sleep (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Advanced Polymer Synthesis and Characterization (3 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (226 citations), Endocrine and Autonomic Systems (49 citations), Small Animals (35 citations), Biomaterials (56 citations) and Genetics (40 citations). Matthew Skinner has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Janice M. Marshall, Todd Emrick, Jean‐Pierre Valentin, Andrew G. Ramage, David L. Jordan, Helen Prior, John Koerner, Banishree Saha, Syril Pettit and Susan Currie. Their work appears in journals such as British Journal of Pharmacology, Toxicological Sciences, Molecular Pharmaceutics, Toxicology and Applied Pharmacology and ACS Biomaterials Science & Engineering.

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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