Donna G. Virgil

598 citations
17 papers · 488 indexed · h-index 13
Topics
Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Lipoproteins and Cardiovascular Health (8 papers)Birth, Development, and Health (4 papers)
Partner nations
United States

In The Last Decade

Donna G. Virgil

17 papers receiving 465 citations

Peers

Donna G. Virgil
Comparison fields: 5 of 67
  • Surgery 188
  • Endocrinology, Diabetes and Metabolism 168
  • Molecular Biology 150
  • Epidemiology 95
  • Cancer Research 77
Replace Ichiro Matsuda with:
Ichiro Matsuda Japan
Mike L. J. Jeurissen Netherlands
Ray Rosa United States
P. Roma Italy
Maria A. Ostos France
ElspethB. Smith United Kingdom
Marianne E. Wittekoek Netherlands
R W Brocia United States
Francesca Charlton Australia
B. Carlander Norway
Donna G. Virgil relative to Ichiro Matsuda Japan Ichiro Matsuda's profile →
Citations per field
00.5×1.5×2.5×
Ichiro Matsuda · 1×
Citations per year

Countries citing papers authored by Donna G. Virgil

Since Specialization
Citations

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

Fields of papers citing papers by Donna G. Virgil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donna G. Virgil. 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 Donna G. Virgil. The network helps show where Donna G. Virgil may publish in the future.

Co-authorship network of co-authors of Donna G. Virgil

This figure shows the co-authorship network connecting the top 25 collaborators of Donna G. Virgil. A scholar is included among the top collaborators of Donna G. Virgil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donna G. Virgil. Donna G. Virgil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 5
2 1
3 20
4
Lipoprotein heterogeneity at birth: influence of gestational age and race on lipoprotein subclasses and Lp (a) lipoprotein.
18
5 29
6 53
7 40
8 29
9 39
10 4
11 16
12 13
13 10
14 22
15 30
16 72
17 87

About Donna G. Virgil

Donna G. Virgil is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Cancer Research, having authored 17 papers that have together received 488 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Lipoproteins and Cardiovascular Health (8 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (168 citations), Immunology and Allergy (57 citations) and Cancer Research (77 citations). Donna G. Virgil has collaborated with scholars based in United States. Frequent co-authors include Paul S. Bachorik, Peter O. Kwiterovich, Frank A. Franklin, Robert Walker, Shui Qing Ye, Petar Alaupovic, Subroto Chatterjee, Carolyn Knight‐Gibson, Sergio F. Martín and Antonina Kolmakova. Their work appears in journals such as JAMA, Journal of Biological Chemistry and Biochemistry.

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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