Daniel Taylor

436 citations
29 papers · 359 · h-index 9

Impact in

Papers in

Daniel Taylor

27 papers receiving 338 citations

Peers

Daniel Taylor
Comparison fields: 5 of 106
  • Cardiology and Cardiovascular Medicine 85
  • Complementary and alternative medicine 25
  • Nephrology 20
  • Behavioral Neuroscience 8
  • Clinical Biochemistry 15
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Sarah Kuzmiak‐Glancy United States
A. de Hemptinne Belgium
T W Smith United States
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M. Yu. Karganov Russia
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L. Ligeti Hungary
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198661
2 198654
3 197949
4 199335
5 201025
6 199124
7 199121
8 199117
9 202411
10 19939
11
A phase I study of the left-shifting agent BW12C79 plus mitomycin C and the effect on the skeletal muscle metabolism using 31P magnetic resonance spectroscopy.
19938
12 20237
13 20246
14 19895
15 20244
16 19954
17 20054
18 20253
19 20062
20 20252

About Daniel Taylor

Daniel Taylor is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Transplantation, Surgery and Endocrine and Autonomic Systems, having authored 29 papers that have together received 359 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (6 papers), Coronary Interventions and Diagnostics (4 papers), Cardiovascular Function and Risk Factors (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Transplantation: Methods and Outcomes (3 papers), Cardiac Imaging and Diagnostics (3 papers), Viral Infections and Immunology Research (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (85 citations), Complementary and alternative medicine (25 citations), Nephrology (20 citations), Behavioral Neuroscience (8 citations) and Clinical Biochemistry (15 citations). Daniel Taylor has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include George K. Radda, Paul McMahan Matthews, Orville A. Smith, Clifford A. Astley, Martin J. Paterson, A. Roger Hohimer, G. K. Radda, B. Rajagopalan, B Rajagopalan and A.J.P. Yates. Their work appears in journals such as American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, The Journal of Heart and Lung Transplantation, American Journal of Physiology-Heart and Circulatory Physiology, Cardiovascular Research and Diabetologia.

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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