Dana Bailey

29 papers receiving 1.2k citations

Peers

Dana Bailey
Comparison fields: 5 of 85
  • Endocrinology, Diabetes and Metabolism 281
  • Pathology and Forensic Medicine 255
  • Surgery 320
  • Cancer Research 100
  • Nutrition and Dietetics 94
Replace Mandy van Hoek with:
Mandy van Hoek Netherlands
Jasper J. van Doormaal Netherlands
Ángel Ferrández Spain
Cathee Till United States
Miguel Carneiro de Moura Portugal
Maria Timofeeva United Kingdom
Koji Ikejiri Japan
A Naso Italy
Manuel Macı́a Spain
Verena Katzke Germany
Dana Bailey relative to Mandy van Hoek Netherlands Mandy van Hoek's profile →
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Citations per year

Countries citing papers authored by Dana Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Dana Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010189
2 2012178
3 2011176
4 2013137
5 201383
6 201159
7 201454
8 201250
9 200846
10 202041
11 201338
12 199429
13 200927
14 201127
15 202217
16 201315
17 201014
18 202012
19 202311
20 20239

About Dana Bailey

Dana Bailey is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Physiology, Infectious Diseases and Molecular Biology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Clinical Laboratory Practices and Quality Control (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), SARS-CoV-2 detection and testing (3 papers), Vitamin D Research Studies (3 papers), Lipoproteins and Cardiovascular Health (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (281 citations), Pathology and Forensic Medicine (255 citations), Surgery (320 citations), Cancer Research (100 citations) and Nutrition and Dietetics (94 citations). Dana Bailey has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Khosrow Adeli, Mehrdad Yazdanpanah, Jacques Genest, Anouar Hafiane, Larbi Krimbou, Man Khun Chan, David Colantonio, Isabelle L. Ruel, Lianna Kyriakopoulou and David Armbruster. Their work appears in journals such as Clinical Biochemistry, Clinical Chemistry, Journal of Lipid Research, Canadian Medical Association Journal and Canadian Journal of Cardiology.

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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