Eric Tien
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
-
- Cancer, Hypoxia, and Metabolism
Papers in ⓘ
-
- Peroxisome Proliferator-Activated Receptors 5
- Metabolism, Diabetes, and Cancer 2
- Cancer therapeutics and mechanisms 1
-
- Adipose Tissue and Metabolism 4
- Co-authors
- John P. Vanden Heuvel (5 shared papers)Masahiko Negishi (2 shared papers)John W. Davis (2 shared papers)Gary H. Perdew (2 shared papers)Wasana Sumanasekera (2 shared papers)Joshua P. Gray (1 shared paper)Kenji Matsui (1 shared paper)Jeffrey M. Peters (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Xenobiotica (1 paper)PPAR Research (1 paper)Biochemistry (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Eric Tien
10 papers receiving 424 citations
Peers
Comparison fields: 5 of 72
- Pharmacology 68
- Cancer Research 76
- Endocrinology, Diabetes and Metabolism 68
- Molecular Biology 272
- Biochemistry 22
Countries citing papers authored by Eric Tien
This map shows the geographic impact of Eric Tien'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 Eric Tien with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Tien more than expected).
Fields of papers citing papers by Eric Tien
This network shows the impact of papers produced by Eric Tien. 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 Eric Tien. The network helps show where Eric Tien may publish in the future.
Co-authors
The 20 scholars most cited alongside Eric Tien, 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 | 2004 | 98 | |
| 2 | 2003 | 84 | |
| 3 | 2006 | 76 | |
| 4 | 2003 | 60 | |
| 5 | 2006 | 31 | |
| 6 | Comprehensive gene expression analysis of peroxisome proliferator-treated immortalized hepatocytes: identification of peroxisome proliferator-activated receptor alpha-dependent growth regulatory genes. | 2003 | 30 |
| 7 | 2006 | 18 | |
| 8 | 2013 | 16 | |
| 9 | 2011 | 12 | |
| 10 | 2022 | 7 |
About Eric Tien
Eric Tien is a scholar working on Molecular Biology, Physiology, Epidemiology, Pharmacology and Genetics, having authored 10 papers that have together received 432 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (5 papers), Adipose Tissue and Metabolism (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Estrogen and related hormone effects (2 papers), Pancreatic function and diabetes (1 paper), Thyroid Disorders and Treatments (1 paper), Computational Drug Discovery Methods (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Pharmacology (68 citations), Cancer Research (76 citations), Endocrinology, Diabetes and Metabolism (68 citations), Molecular Biology (272 citations) and Biochemistry (22 citations). Eric Tien has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include John P. Vanden Heuvel, Masahiko Negishi, John W. Davis, Gary H. Perdew, Wasana Sumanasekera, Joshua P. Gray, Kenji Matsui, Jeffrey M. Peters, Rick Moore and Jerry T. Thompson. Their work appears in journals such as Journal of Biological Chemistry, Journal of Pharmacology and Experimental Therapeutics, Xenobiotica, PPAR Research and Biochemistry.
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.