D.J. Taylor

48 papers receiving 3.1k citations

Peers

D.J. Taylor
Comparison fields: 5 of 113
  • Complementary and alternative medicine 604
  • Clinical Biochemistry 385
  • Orthopedics and Sports Medicine 319
  • Cell Biology 596
  • Radiology, Nuclear Medicine and Imaging 739
Replace Peter J. Bore with:
Peter J. Bore United Kingdom
M. Joan Dawson United States
Pierre G. Carlier France
William Bank United States
B. Rajagopalan United Kingdom
Jeroen A. L. Jeneson Netherlands
J. S. Leigh United States
DG Gadian United Kingdom
Kenneth W. Fishbein United States
Hannu Sipilä Finland
D.J. Taylor relative to Peter J. Bore United Kingdom Peter J. Bore's profile →
Citations per field
00.5×4.1×
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 48 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.
1983472
2 1986289
3 1985235
4 2000208
5 1984167
6 1982143
7 1993136
8 1982123
9 1997119
10 1999114
11 1993111
12 1993103
13 1997101
14 199484
15 199683
16 199568
17 199766
18 199362
19 199459
20 199558

About D.J. Taylor

D.J. Taylor is a scholar working on Molecular Biology, Clinical Biochemistry, Cell Biology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 48 papers that have together received 3.3k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (22 papers), Metabolism and Genetic Disorders (15 papers), Muscle metabolism and nutrition (13 papers), Genetic Neurodegenerative Diseases (9 papers), Advanced MRI Techniques and Applications (9 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 (604 citations), Clinical Biochemistry (385 citations), Orthopedics and Sports Medicine (319 citations), Cell Biology (596 citations) and Radiology, Nuclear Medicine and Imaging (739 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, NMR in Biomedicine and Biochemical Society Transactions.

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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