Amanda Moore

1.0k citations
13 papers · 772 · h-index 10

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 8
    • Drug-Induced Hepatotoxicity and Protection 3
    • Drug Transport and Resistance Mechanisms 6

Amanda Moore

13 papers receiving 731 citations

Peers

Amanda Moore
Comparison fields: 5 of 80
  • Reproductive Medicine 321
  • Hepatology 181
  • Pharmacology 197
  • Physiology 90
  • Public Health, Environmental and Occupational Health 253
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Pasi Koskimies Finland
James C. Cornette United States
Qingduan Wang China
Aporn Chuncharunee Thailand
Junwei Zhang China
Ata Abbas United States
Yayun Liu China
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Ester Siqueira Caixeta Brazil
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Citations per year

Countries citing papers authored by Amanda Moore

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2005191
2 2012170
3 2013120
4 2004104
5 201349
6 200642
7 201437
8 201722
9 201619
10 20049
11 20197
12 20161
13
Special Section on Prediction of Human Pharmacokinetic Parameters from In Vitro Systems Meeting the Challenge of Predicting Hepatic Clearance of Compounds Slowly Metabolized by Cytochrome P450 Using a Novel Hepatocyte Model, HepatoPac
20131

About Amanda Moore

Amanda Moore is a scholar working on Pharmacology, Oncology, Public Health, Environmental and Occupational Health, Reproductive Medicine and Hepatology, having authored 13 papers that have together received 772 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Drug Transport and Resistance Mechanisms (6 papers), Sperm and Testicular Function (4 papers), Reproductive Biology and Fertility (4 papers), Liver physiology and pathology (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Statistical Methods in Clinical Trials (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Reproductive Medicine (321 citations), Hepatology (181 citations), Pharmacology (197 citations), Physiology (90 citations) and Public Health, Environmental and Occupational Health (253 citations). Amanda Moore has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include E.L. Squires, James K. Graham, Salman R. Khetani, J.K. Graham, Okechukwu Ukairo, Hongbin Yu, Donald Tweedie, Tom S. Chan, Chitra Kanchagar and Michael D. Aleo. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Biochemical and Molecular Toxicology, Reproduction Fertility and Development, Assay and Drug Development Technologies and Theriogenology.

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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