Matthew Pratt–Hyatt

712 citations
13 papers · 562 · h-index 13

Impact in

  • Pharmacology top 10%
    • Pharmacogenetics and Drug Metabolism
    • Drug Transport and Resistance Mechanisms

Papers in

    • RNA and protein synthesis mechanisms 4
    • RNA Research and Splicing 4
    • RNA modifications and cancer 3
    • Drug Transport and Resistance Mechanisms 5

Matthew Pratt–Hyatt

13 papers receiving 561 citations

Peers

Matthew Pratt–Hyatt
Comparison fields: 5 of 71
  • Pharmacology 79
  • Oncology 134
  • Geriatrics and Gerontology 19
  • Molecular Biology 323
  • Aging 7
Replace Alexandre Berthier with:
Alexandre Berthier France
Tingying Jiao China
Amerys Cravero Argentina
Sandrine Martin France
Sushmita Bhattacharya India
Richard Martin United States
Yvonne Gloor Switzerland
Chuangpeng Shen China
Zhuoyu Li China
Virginia Gutiérrez‐de Juan Spain
Matthew Pratt–Hyatt relative to Alexandre Berthier France Alexandre Berthier's profile →
Citations per field
00.5×3.8×
Alexandre Berthier · 1×
Citations per year

Countries citing papers authored by Matthew Pratt–Hyatt

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Pratt–Hyatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew Pratt–Hyatt. 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 Matthew Pratt–Hyatt. The network helps show where Matthew Pratt–Hyatt may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2008175
2 2011114
3 201459
4 201329
5 201329
6 201027
7 201026
8 201621
9 200620
10 201417
11 201416
12 201115
13 201214

About Matthew Pratt–Hyatt

Matthew Pratt–Hyatt is a scholar working on Molecular Biology, Oncology, Pharmacology, Epidemiology and Surgery, having authored 13 papers that have together received 562 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), RNA and protein synthesis mechanisms (4 papers), Pharmacogenetics and Drug Metabolism (4 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Cholesterol and Lipid Metabolism (2 papers) and Pharmacological Effects and Toxicity Studies (1 paper). The work is most often cited by research in Pharmacology (79 citations), Oncology (134 citations), Geriatrics and Gerontology (19 citations), Molecular Biology (323 citations) and Aging (7 citations). Matthew Pratt–Hyatt has collaborated with scholars based in United States. Frequent co-authors include Rebecca A. Haeusler, David R. Engelke, Curtis D. Klaassen, Paul D. Good, Theresa A. Gipson, Domenico Accili, Carrie L. Welch, Paul F. Hollenberg, Andrew J. Lickteig and Hsia-lien Lin. Their work appears in journals such as Drug Metabolism and Disposition, Genes & Development, Toxicological Sciences, Gene and Cell Metabolism.

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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