Sharon L. Reilly

639 citations
12 papers · 466 indexed · h-index 11
Topics
Genetic Associations and Epidemiology (6 papers)Nutrition, Genetics, and Disease (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)
Partner nations
United StatesPoland

In The Last Decade

Sharon L. Reilly

12 papers receiving 447 citations

Peers

Sharon L. Reilly
Comparison fields: 5 of 71
  • Endocrinology, Diabetes and Metabolism 196
  • Surgery 174
  • Genetics 157
  • Cardiology and Cardiovascular Medicine 71
  • Physiology 58
Replace Ruth Ann Barkley with:
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Paolo Fornengo Italy
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Citations per field
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Citations per year

Countries citing papers authored by Sharon L. Reilly

Since Specialization
Citations

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

Fields of papers citing papers by Sharon L. Reilly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharon L. Reilly. 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 Sharon L. Reilly. The network helps show where Sharon L. Reilly may publish in the future.

Co-authorship network of co-authors of Sharon L. Reilly

This figure shows the co-authorship network connecting the top 25 collaborators of Sharon L. Reilly. A scholar is included among the top collaborators of Sharon L. Reilly 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 Sharon L. Reilly. Sharon L. Reilly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 15
2 11
3 77
4 25
5 2
6 10
7
The gender-specific apolipoprotein E genotype influence on the distribution of plasma lipids and apolipoproteins in the population of Rochester, MN. III. Correlations and covariances.
65
8 10
9 43
10
The gender-specific apolipoprotein E genotype influence on the distribution of plasma lipids and apolipoproteins in the population of Rochester, Minnesota. II. Regression relationships with concomitants.
73
11
The gender-specific apolipoprotein E genotype influence on the distribution of lipids and apolipoproteins in the population of Rochester, MN. I. Pleiotropic effects on means and variances.
99
12 36

About Sharon L. Reilly

Sharon L. Reilly is a scholar working on Aging, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 12 papers that have together received 466 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Nutrition, Genetics, and Disease (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (196 citations), Nephrology (52 citations) and Genetics (157 citations). Sharon L. Reilly has collaborated with scholars based in United States and Poland. Frequent co-authors include Charles F. Sing, Stephen T. Turner, R E Ferrell, Bruce A. Kottke, Robert E. Ferrell, M. Ilyas Kamboh, B A Kottke, Kim E. Zerba, Martha B. Haviland and Alan R. Templeton. Their work appears in journals such as Hypertension, Journal of Clinical Epidemiology and American Journal of Physiology-Regulatory, Integrative and Comparative Physiology.

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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