Eric T. Matey

10 papers receiving 183 citations

Peers

Eric T. Matey
Comparison fields: 5 of 68
  • Pharmacology 97
  • Geriatrics and Gerontology 15
  • Pediatrics, Perinatology and Child Health 63
  • Toxicology 7
  • Transplantation 5
Replace Emily J. Cicali with:
Emily J. Cicali United States
Dyson T. Wake United States
Catherine Chanfreau‐Coffinier United States
JS Schildcrout United States
Yee Ming Lee United States
Marc Maliepaard Netherlands
Leland E. Hull United States
Kristin Wiisanen United States
H. Abdullah-Koolmees Netherlands
Carolyn R. Rohrer Vitek United States
Eric T. Matey relative to Emily J. Cicali United States Emily J. Cicali's profile →
Citations per field
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Emily J. Cicali · 1×
Citations per year

Countries citing papers authored by Eric T. Matey

Since Specialization
Citations

This map shows the geographic impact of Eric T. Matey'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 Eric T. Matey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric T. Matey more than expected).

Fields of papers citing papers by Eric T. Matey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric T. Matey. 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 Eric T. Matey. The network helps show where Eric T. Matey may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201966
2 201735
3 202023
4 202123
5 201820
6 201720
7 20213
8 20232
9 20231
10 20241
11 20230
12 20240

About Eric T. Matey

Eric T. Matey is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health, Genetics, Public Health, Environmental and Occupational Health and Surgery, having authored 12 papers that have together received 194 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Pharmaceutical studies and practices (4 papers), Pharmacological Effects and Toxicity Studies (2 papers), Genomics and Rare Diseases (2 papers), Metabolism and Genetic Disorders (1 paper), Pharmaceutical Practices and Patient Outcomes (1 paper), Biochemical Analysis and Sensing Techniques (1 paper) and Gastrointestinal motility and disorders (1 paper). The work is most often cited by research in Pharmacology (97 citations), Geriatrics and Gerontology (15 citations), Pediatrics, Perinatology and Child Health (63 citations), Toxicology (7 citations) and Transplantation (5 citations). Eric T. Matey has collaborated with scholars based in United States, United Kingdom and United Arab Emirates. Frequent co-authors include Ann M. Moyer, Virginia M. Miller, Wayne T. Nicholson, Robert R. Freimuth, Christine M. Formea, Jessica Wright, Tammy M. McAllister, Jyothsna Giri, Konstantinos N. Lazaridis and Carolyn R. Rohrer Vitek. Their work appears in journals such as American Journal of Health-System Pharmacy, Pharmacogenomics, CPT Pharmacometrics & Systems Pharmacology, The Pharmacogenomics Journal and Neurogastroenterology & Motility.

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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