Faye Hsieh
Impact in
- Geriatrics and Gerontology top 0.2%
- Sirtuins and Resveratrol in Medicine
- Biochemistry top 2%
- Phytochemicals and Antioxidant Activities
Papers in
-
- Melanoma and MAPK Pathways 7
- Protein Kinase Regulation and GTPase Signaling 6
-
- Synthesis and biological activity 5
- Co-authors
- Thomas Walle (2 shared papers)John E. Oatis (1 shared paper)Mark H. DeLegge (1 shared paper)U. Kristina Walle (1 shared paper)Yoko Otake (1 shared paper)Helen J. McBride (4 shared papers)Liping H. Pettus (5 shared papers)Matthew R. Lee (5 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (7 papers)Drug Metabolism and Disposition (3 papers)Journal of Medicinal Chemistry (2 papers)Bioanalysis (1 paper)Journal of Pharmaceutical and Biomedical Analysis (1 paper)
- Partner nations
- United States
In The Last Decade
Faye Hsieh
14 papers receiving 1.7k citations
Faye Hsieh's Hit Papers
Peers
Comparison fields: 5 of 90
- Geriatrics and Gerontology 928
- Biochemistry 220
- Physiology 90
- Molecular Medicine 72
- Physiology 350
Countries citing papers authored by Faye Hsieh
This map shows the geographic impact of Faye Hsieh'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 Faye Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faye Hsieh more than expected).
Fields of papers citing papers by Faye Hsieh
This network shows the impact of papers produced by Faye Hsieh. 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 Faye Hsieh. The network helps show where Faye Hsieh may publish in the future.
Co-authors
The 25 scholars most cited alongside Faye Hsieh, 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 | HIGH ABSORPTION BUT VERY LOW BIOAVAILABILITY OF ORAL RESVERATROL IN HUMANS Hit paper breakdown → | 2004 | 1495 |
| 2 | 2002 | 95 | |
| 3 | 2007 | 37 | |
| 4 | 2010 | 28 | |
| 5 | 2007 | 28 | |
| 6 | 2009 | 17 | |
| 7 | 2013 | 14 | |
| 8 | 2010 | 14 | |
| 9 | 2010 | 14 | |
| 10 | 2011 | 4 | |
| 11 | 2006 | 4 | |
| 12 | 2011 | 3 | |
| 13 | 2011 | 3 | |
| 14 | 2011 | 3 |
About Faye Hsieh
Faye Hsieh is a scholar working on Molecular Biology, Organic Chemistry, Computational Theory and Mathematics, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Computational Drug Discovery Methods (5 papers), Synthesis and biological activity (5 papers), Pharmacogenetics and Drug Metabolism (2 papers), Neurobiology and Insect Physiology Research (2 papers), Phytochemistry and Biological Activities (1 paper) and Tea Polyphenols and Effects (1 paper). The work is most often cited by research in Geriatrics and Gerontology (928 citations), Biochemistry (220 citations), Physiology (90 citations), Molecular Medicine (72 citations) and Physiology (350 citations). Faye Hsieh has collaborated with scholars based in United States. Frequent co-authors include Thomas Walle, John E. Oatis, Mark H. DeLegge, U. Kristina Walle, Yoko Otake, Helen J. McBride, Liping H. Pettus, Matthew R. Lee, Christiaan J. M. Saris and Ryan P. Wurz. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Drug Metabolism and Disposition, Journal of Medicinal Chemistry, Bioanalysis and Journal of Pharmaceutical and Biomedical Analysis.
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.