Jean W. MacCluer

11.2k citations
180 papers · 7.3k indexed · 1 hit paper · h-index 43

Jean W. MacCluer

180 papers receiving 7.0k citations

Hit Papers

Influence of the Genotype on the Clinical Course of the L...5041998202620072016100200300400500

Peers

Jean W. MacCluer
Comparison fields: 5 of 163
  • Genetics 2.3k
  • Endocrine and Autonomic Systems 554
  • Cardiology and Cardiovascular Medicine 1.8k
  • Endocrinology, Diabetes and Metabolism 972
  • Nutrition and Dietetics 827
Replace Shelley A. Cole with:
Shelley A. Cole United States
Paul C. MacDonald United States
James E. Hixson United States
Beverly Paigen United States
Thomas C. Register United States
J. Brent Richards Canada
C. N. Hales United Kingdom
Theresa L. Powell United States
Richard S. Legro United States
Ian N.M. Day United Kingdom
Jean W. MacCluer relative to Shelley A. Cole United States Shelley A. Cole's profile →
Citations per field
00.5×3.0×
Shelley A. Cole · 1×
Citations per year

Countries citing papers authored by Jean W. MacCluer

Since Specialization
Citations

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

Fields of papers citing papers by Jean W. MacCluer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean W. MacCluer. 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 Jean W. MacCluer. The network helps show where Jean W. MacCluer may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201916
2 20191
3 20137
4 20139
5 200939
6 200920
7 200910
8 200813
9 200812
10 200751
11 20067
12 200443
13 200419
14 1999100
15 1997350
16 199726
17 19902
18 198935
19
Genetic epidemiology : applications and comparisons of methods
19874
20
Fertility and mortality effects on Darwinian fitness in man.
19791

About Jean W. MacCluer

Jean W. MacCluer is a scholar working on Genetics, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 180 papers that have together received 7.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (62 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers), Diet, Metabolism, and Disease (14 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers), Genetic and phenotypic traits in livestock (13 papers), Nutritional Studies and Diet (13 papers) and Liver Disease Diagnosis and Treatment (13 papers). The work is most often cited by research in Genetics (2.3k citations), Endocrine and Autonomic Systems (554 citations) and Cardiology and Cardiovascular Medicine (1.8k citations). Jean W. MacCluer has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include John Blangero, Anthony G. Comuzzie, Michael C. Mahaney, Michael P. Stern, John L. VandeBerg, James E. Hixson, Braxton D. Mitchell, David L. Rainwater, Laura Almasy and Shelley A. Cole. Their work appears in journals such as New England Journal of Medicine, Circulation and Nature Genetics.

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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