Keith DiPetrillo

1.9k citations
27 papers · 1.3k · h-index 18

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
  • Genetics top 5%
    • Genetic Mapping and Diversity in Plants and Animals
    • Genetic Associations and Epidemiology
    • Genetic and phenotypic traits in livestock

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 10
    • Genetic and phenotypic traits in livestock 6
    • Genetic Associations and Epidemiology 5
    • Diabetes and associated disorders 2
    • Chronic Kidney Disease and Diabetes 4

Keith DiPetrillo

26 papers receiving 1.3k citations

Peers

Keith DiPetrillo
Comparison fields: 5 of 102
  • Nephrology 190
  • Genetics 334
  • Clinical Biochemistry 78
  • Aging 16
  • Endocrinology, Diabetes and Metabolism 108
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Citations per year

Countries citing papers authored by Keith DiPetrillo

Since Specialization
Citations

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

Fields of papers citing papers by Keith DiPetrillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008279
2 2003140
3 2018137
4 2005103
5 200481
6 200575
7 200454
8 200451
9 200947
10 201241
11 201837
12 200732
13 200432
14 200931
15 200930
16 200627
17 200224
18 201218
19 200216
20 201015

About Keith DiPetrillo

Keith DiPetrillo is a scholar working on Genetics, Nephrology, Molecular Biology, Physiology and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (10 papers), Genetic and phenotypic traits in livestock (6 papers), Genetic Associations and Epidemiology (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Adipose Tissue and Metabolism (4 papers), Diabetes and associated disorders (2 papers), Inhalation and Respiratory Drug Delivery (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Nephrology (190 citations), Genetics (334 citations), Clinical Biochemistry (78 citations), Aging (16 citations) and Endocrinology, Diabetes and Metabolism (108 citations). Keith DiPetrillo has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include F. A. Gesek, Bonita Coutermarsh, Martin Beibel, Feng Ma, Steven E. Whitesall, Gary A. Churchill, Yong Zhang, Beverly Paigen, Ron Korstanje and Minjie Feng. Their work appears in journals such as American Journal of Physiology-Renal Physiology, American Journal of Hypertension, Genetics, Mammalian Genome and G3 Genes Genomes 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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