Mei‐Fei Yueh
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 15
- Pollution top 5%
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- Neonatal Health and Biochemistry 6
- Oncology top 10%
- Drug Transport and Resistance Mechanisms 7
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- Carcinogens and Genotoxicity Assessment 4
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- Heme Oxygenase-1 and Carbon Monoxide 4
- DNA Repair Mechanisms 2
- Genomics, phytochemicals, and oxidative stress 2
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- Erythrocyte Function and Pathophysiology 2
- Co-authors
- Robert H. TukeyShujuan ChenJudy L. RaucyMichael KarinNghia NguyenMarleen KawaharaDavid E. WilliamsOlivier Barbier
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (3 papers)Drug Metabolism and Disposition (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Mei‐Fei Yueh
29 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 121
- Pharmacology 491
- Health, Toxicology and Mutagenesis 243
- Pollution 202
- Pediatrics, Perinatology and Child Health 262
- Oncology 326
Countries citing papers authored by Mei‐Fei Yueh
This map shows the geographic impact of Mei‐Fei Yueh'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 Mei‐Fei Yueh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Fei Yueh more than expected).
Fields of papers citing papers by Mei‐Fei Yueh
This network shows the impact of papers produced by Mei‐Fei Yueh. 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 Mei‐Fei Yueh. The network helps show where Mei‐Fei Yueh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mei‐Fei Yueh, 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 | 2020 | 51 | |
| 2 | 2017 | 39 | |
| 3 | 2016 | 14 | |
| 4 | 2015 | 33 | |
| 5 | 2015 | 6 | |
| 6 | 2014 | 190 | |
| 7 | 2014 | 39 | |
| 8 | 2008 | 72 | |
| 9 | 2007 | 128 | |
| 10 | 2005 | 41 | |
| 11 | 2005 | 19 | |
| 12 | 2004 | 46 | |
| 13 | 2004 | 54 | |
| 14 | 2003 | 146 | |
| 15 | 2002 | 62 | |
| 16 | 2002 | 34 | |
| 17 | 2002 | 40 | |
| 18 | 2001 | 48 | |
| 19 | 2000 | 68 | |
| 20 | 1999 | 6 |
About Mei‐Fei Yueh
Mei‐Fei Yueh is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health, Biological Psychiatry, Oncology and Cancer Research, having authored 29 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (15 papers), Drug Transport and Resistance Mechanisms (7 papers), Neonatal Health and Biochemistry (6 papers), Carcinogens and Genotoxicity Assessment (4 papers), Heme Oxygenase-1 and Carbon Monoxide (4 papers), DNA Repair Mechanisms (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Pharmacology (491 citations), Health, Toxicology and Mutagenesis (243 citations), Pollution (202 citations), Pediatrics, Perinatology and Child Health (262 citations) and Oncology (326 citations). Mei‐Fei Yueh has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robert H. Tukey, Shujuan Chen, Judy L. Raucy, Michael Karin, Nghia Nguyen, Marleen Kawahara, David E. Williams, Olivier Barbier, Ronald M. Evans and Koji Taniguchi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Drug Metabolism and Disposition, Molecular Pharmacology and Journal of Pharmacology and Experimental Therapeutics.
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.