William G. Keyes

631 citations
12 papers · 530 indexed · h-index 10

William G. Keyes

12 papers receiving 505 citations

Peers

William G. Keyes
Comparison fields: 5 of 68
  • Biochemistry 78
  • Endocrinology, Diabetes and Metabolism 135
  • Pediatrics, Perinatology and Child Health 142
  • Genetics 53
  • Hematology 48
Replace N. Cester with:
N. Cester Italy
John Hussey United States
F. Stanley Porter United States
Jonia Alshiek United States
Amos Lanir Israel
Maki Kumada Japan
Susan F Travis United States
Lorenzo Bertolone Italy
Hoda Awad Israel
T. E. Stacey United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by William G. Keyes

Since Specialization
Citations

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

Fields of papers citing papers by William G. Keyes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside William G. Keyes, 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 William G. Keyes Line = papers co-authored together William G. Keyes links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 19971
2 199242
3 1991106
4 19901
5 198980
6
Assessing the need for transfusion of premature infants and role of hematocrit, clinical signs, and erythropoietin level.
198984
7 198210
8 198218
9 198215
10 198230
11 198146
12 197997

About William G. Keyes

William G. Keyes is a scholar working on Endocrinology, Diabetes and Metabolism, Developmental Neuroscience, Health Information Management, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine, having authored 12 papers that have together received 530 indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (4 papers), Neonatal Respiratory Health Research (3 papers), Neonatal and fetal brain pathology (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Fatty Acid Research and Health (1 paper), Cholesterol and Lipid Metabolism (1 paper) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper). The work is most often cited by research in Biochemistry (78 citations), Endocrinology, Diabetes and Metabolism (135 citations), Pediatrics, Perinatology and Child Health (142 citations), Genetics (53 citations) and Hematology (48 citations). William G. Keyes has collaborated with scholars based in United States. Frequent co-authors include Murray Heimberg, Mathew Jones, Frank A. Oski, Jennifer R. Niebyl, Richard E. Besinger, Timothy R.B. Johnson, Henry G. Wilcox, Pamela Donohue, Jerry L. Spivak and Douglas W. Morgan. Their work appears in journals such as Endocrinology, Journal of Lipid Research, Pediatric Research, American Journal of Obstetrics and Gynecology and Current Opinion in Pediatrics.

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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