D.J. Taylor

45 papers receiving 3.0k citations

Peers

D.J. Taylor
Comparison fields: 5 of 109
  • Complementary and alternative medicine 586
  • Clinical Biochemistry 328
  • Orthopedics and Sports Medicine 306
  • Cell Biology 565
  • Radiology, Nuclear Medicine and Imaging 654
Replace Peter J. Bore with:
Peter J. Bore United Kingdom
Pierre G. Carlier France
M. Joan Dawson United States
B. Rajagopalan United Kingdom
Thomas Jue United States
William Bank United States
J. S. Leigh United States
Scott M. Eleff United States
Jeroen A. L. Jeneson Netherlands
Jonathan Lawson United States
D.J. Taylor relative to Peter J. Bore United Kingdom Peter J. Bore's profile →
Citations per field
00.5×4.4×
Peter J. Bore · 1×
Citations per year

Countries citing papers authored by D.J. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by D.J. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bioenergetics of intact human muscle. A 31P nuclear magnetic resonance study.
1983456
2 1986269
3 1985221
4 2000194
5 1984155
6 1982129
7 1993126
8 1997117
9 1982111
10 1993107
11 1999103
12 1993101
13 199797
14 199479
15 199675
16 199763
17 199562
18 199359
19 199557
20 199054

About D.J. Taylor

D.J. Taylor is a scholar working on Molecular Biology, Cell Biology, Clinical Biochemistry, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 45 papers that have together received 3.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (19 papers), Muscle metabolism and nutrition (13 papers), Metabolism and Genetic Disorders (12 papers), Genetic Neurodegenerative Diseases (9 papers), Advanced MRI Techniques and Applications (8 papers), Adipose Tissue and Metabolism (5 papers), Muscle Physiology and Disorders (5 papers) and Cardiovascular and exercise physiology (4 papers). The work is most often cited by research in Complementary and alternative medicine (586 citations), Clinical Biochemistry (328 citations), Orthopedics and Sports Medicine (306 citations), Cell Biology (565 citations) and Radiology, Nuclear Medicine and Imaging (654 citations). D.J. Taylor has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include G. K. Radda, Peter Styles, Graham J. Kemp, Peter J. Bore, Douglas L. Arnold, G. K. Radda, DG Gadian, David G. Gadian, Campbell Thompson and Raffaele Lodi. Their work appears in journals such as Journal of the Neurological Sciences, Annals of Neurology, Journal of Neurology Neurosurgery & Psychiatry, Biochemical Society Transactions and NMR in Biomedicine.

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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