Peter H Bui
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Biochemistry top 10%
- Eicosanoids and Hypertension Pharmacology
Papers in
-
- Pharmacogenetics and Drug Metabolism 8
-
- Toxic Organic Pollutants Impact 4
- Co-authors
- Oliver Hankinson (9 shared papers)Sudheer Reddy Beedanagari (3 shared papers)Ilona G. Bebenek (2 shared papers)Erin L. Hsu (1 shared paper)Satoshi Imaizumi (1 shared paper)Feng Wang (1 shared paper)Derek W. Nickerson (1 shared paper)Srinivasa T. Reddy (1 shared paper)
- Journals
- Molecular Pharmacology (3 papers)Drug Metabolism and Disposition (2 papers)Molecular Cytogenetics (1 paper)European Journal of Pharmacology (1 paper)Toxicological Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
Peter H Bui
13 papers receiving 550 citations
Peers
Comparison fields: 5 of 58
- Pharmacology 181
- Biochemistry 40
- Geriatrics and Gerontology 21
- Health, Toxicology and Mutagenesis 75
- Toxicology 13
Countries citing papers authored by Peter H Bui
This map shows the geographic impact of Peter H Bui'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 Peter H Bui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter H Bui more than expected).
Fields of papers citing papers by Peter H Bui
This network shows the impact of papers produced by Peter H Bui. 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 Peter H Bui. The network helps show where Peter H Bui may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter H Bui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 121 | |
| 2 | PD-0332991, a potent and selective inhibitor of cyclin-dependent kinase 4/6, demonstrates inhibition of proliferation in renal cell carcinoma at nanomolar concentrations and molecular markers predict for sensitivity. | 2013 | 93 |
| 3 | 2010 | 75 | |
| 4 | 2010 | 63 | |
| 5 | 2009 | 46 | |
| 6 | 2009 | 44 | |
| 7 | 2011 | 35 | |
| 8 | 2008 | 27 | |
| 9 | 2011 | 17 | |
| 10 | 2013 | 15 | |
| 11 | 2011 | 12 | |
| 12 | 2024 | 5 | |
| 13 | 2013 | 2 |
About Peter H Bui
Peter H Bui is a scholar working on Pharmacology, Health, Toxicology and Mutagenesis, Biochemistry, Genetics and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 555 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Toxic Organic Pollutants Impact (4 papers), Prenatal Screening and Diagnostics (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Epigenetics and DNA Methylation (1 paper), Advanced Breast Cancer Therapies (1 paper), Chronic Lymphocytic Leukemia Research (1 paper) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Pharmacology (181 citations), Biochemistry (40 citations), Geriatrics and Gerontology (21 citations), Health, Toxicology and Mutagenesis (75 citations) and Toxicology (13 citations). Peter H Bui has collaborated with scholars based in United States. Frequent co-authors include Oliver Hankinson, Sudheer Reddy Beedanagari, Ilona G. Bebenek, Erin L. Hsu, Satoshi Imaizumi, Feng Wang, Derek W. Nickerson, Srinivasa T. Reddy, Parrisa Solaimani and Arnulfo Quesada. Their work appears in journals such as Molecular Pharmacology, Drug Metabolism and Disposition, Molecular Cytogenetics, European Journal of Pharmacology and Toxicological Sciences.
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.