Wayne M. Taylor

48 papers receiving 1.3k citations

Peers

Wayne M. Taylor
Comparison fields: 5 of 100
  • Clinical Biochemistry 195
  • Biochemistry 138
  • Physiology 424
  • Physiology 60
  • Molecular Biology 753
Replace J. W. L. Robinson with:
J. W. L. Robinson Switzerland
D. S. Parsons United Kingdom
C. I. Cheeseman Canada
J P Pégorier France
J. Procópio Brazil
Felix A. de la Iglesia United States
M J Weidemann Australia
J.C. Robinson United States
Jean Michel Mencia‐Huerta France
Maurice J. Weidemann Australia
Wayne M. Taylor relative to J. W. L. Robinson Switzerland J. W. L. Robinson's profile →
Citations per field
00.5×
J. W. L. Robinson · 1×
Citations per year

Countries citing papers authored by Wayne M. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Wayne M. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne M. Taylor. 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 Wayne M. Taylor. The network helps show where Wayne M. Taylor may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984170
2 1982135
3 198293
4 197981
5 198077
6 198268
7 197365
8 198361
9 198451
10 197647
11 198447
12 198436
13 200835
14 198031
15 198327
16 201025
17 198524
18 197523
19 197923
20 198022

About Wayne M. Taylor

Wayne M. Taylor is a scholar working on Molecular Biology, Physiology, Clinical Biochemistry, Cellular and Molecular Neuroscience and Oncology, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (16 papers), Metabolism and Genetic Disorders (12 papers), Mitochondrial Function and Pathology (9 papers), Diet and metabolism studies (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Drug Transport and Resistance Mechanisms (4 papers) and Muscle metabolism and nutrition (3 papers). The work is most often cited by research in Clinical Biochemistry (195 citations), Biochemistry (138 citations), Physiology (424 citations), Physiology (60 citations) and Molecular Biology (753 citations). Wayne M. Taylor has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Fyfe L. Bygrave, Peter H. Reinhart, Mitchell L. Halperin, John H. Exton, E van de Pol, Dale A. Smith, Veronica Prpić, Christoph Mans, Hugues Beaufrère and Irving B. Fritz. Their work appears in journals such as Biochemical Journal, FEBS Letters, European Journal of Biochemistry, Hormone and Metabolic Research and Journal of Avian Medicine and Surgery.

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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