Kay Doyle

458 citations
14 papers · 379 · h-index 8

Impact in

Papers in

Kay Doyle

13 papers receiving 354 citations

Peers

Kay Doyle
Comparison fields: 5 of 84
  • Pathology and Forensic Medicine 189
  • Toxicology 30
  • Biochemistry 60
  • Nutrition and Dietetics 34
  • Endocrinology, Diabetes and Metabolism 31
Replace Risto Roine with:
Risto Roine Finland
Egil Bodd Norway
Volker Auwaerter Germany
B. Kapur Canada
Ramazan Ulu Türkiye
Jens T. Mortensen Denmark
Angela Spelsberg United States
Alexandra Schröck Switzerland
Bo Edgren Sweden
D. Stamm Germany
Kay Doyle relative to Risto Roine Finland Risto Roine's profile →
Citations per field
00.5×2×2.6×
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Citations per year

Countries citing papers authored by Kay Doyle

Since Specialization
Citations

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

Fields of papers citing papers by Kay Doyle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Kay Doyle, 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 Kay Doyle Line = papers co-authored together Kay Doyle links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1994127
2 1996101
3 198654
4 197624
5 201418
6 198515
7 198414
8 19907
9 19796
10
Exploring the impact of certification activity, years of laboratory experience, highest degree held, occupational commitment, and job loss insecurity on intent to leave occupation for medical technologists.
20065
11 19945
12 19952
13
Task scales performed and testing for scale differences among phlebotomy technicians, medical laboratory technicians, and medical technologists.
20071
14
Alterations in complete blood counts due to low to moderately high levels of dietary ethanol.
19880

About Kay Doyle

Kay Doyle is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Physiology, Surgery and Infectious Diseases, having authored 14 papers that have together received 379 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Diet and metabolism studies (2 papers), Lipid Membrane Structure and Behavior (2 papers), Clinical Laboratory Practices and Quality Control (2 papers), Cholesterol and Lipid Metabolism (2 papers), Biomedical Research and Pathophysiology (1 paper) and Fatty Acid Research and Health (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (189 citations), Toxicology (30 citations), Biochemistry (60 citations), Nutrition and Dietetics (34 citations) and Endocrinology, Diabetes and Metabolism (31 citations). Kay Doyle has collaborated with scholars based in United States. Frequent co-authors include Joanne E. Cluette‐Brown, Kendrick A. Goss, David A. Bird, Michael Laposata, Jerome L. Hojnacki, Amiram Sheffet, Marvin A. Lavenhar, Richard Noring, Donald B. Louria and Sara S. Patterson. Their work appears in journals such as Experimental Biology and Medicine, American Journal of Clinical Pathology, Journal of Lipid Research, American Journal of Psychiatry and Biochimica et Biophysica Acta (BBA) - Biomembranes.

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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