Ping-Zi Wen
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals 7
- Genetic and phenotypic traits in livestock 2
- Animal Genetics and Reproduction 1
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity 2
- Physiology top 10%
- Adipose Tissue and Metabolism 4
-
- Lipid metabolism and biosynthesis 3
-
- Peroxisome Proliferator-Activated Receptors 4
-
- Cholesterol and Lipid Metabolism 3
- Co-authors
- Aldons J. LusisJanis S. FislerMargarete MehrabianCraig H. WardenR.C. DavisKaren L. SvensonLawrence W. CastellaniCharles R. Farber
- Journals
- Mammalian Genome (3 papers)Journal of Clinical Investigation (2 papers)Physiological Genomics (2 papers)
- Partner nations
- United StatesFrancePoland
In The Last Decade
Ping-Zi Wen
11 papers receiving 577 citations
Peers
Comparison fields: 5 of 60
- Genetics 342
- Endocrine and Autonomic Systems 80
- Physiology 194
- Biochemistry 36
- Molecular Biology 223
Countries citing papers authored by Ping-Zi Wen
This map shows the geographic impact of Ping-Zi Wen'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 Ping-Zi Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping-Zi Wen more than expected).
Fields of papers citing papers by Ping-Zi Wen
This network shows the impact of papers produced by Ping-Zi Wen. 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 Ping-Zi Wen. The network helps show where Ping-Zi Wen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ping-Zi Wen, 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 | 2012 | 98 | |
| 2 | 2011 | 32 | |
| 3 | 2008 | 43 | |
| 4 | 2004 | 32 | |
| 5 | 2004 | 15 | |
| 6 | 2004 | 18 | |
| 7 | 2000 | 54 | |
| 8 | 1998 | 118 | |
| 9 | 1997 | 11 | |
| 10 | 1996 | 11 | |
| 11 | 1995 | 159 |
About Ping-Zi Wen
Ping-Zi Wen is a scholar working on Biochemistry, Endocrine and Autonomic Systems, Genetics, Physiology and Surgery, having authored 11 papers that have together received 591 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Adipose Tissue and Metabolism (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Cholesterol and Lipid Metabolism (3 papers), Lipid metabolism and biosynthesis (3 papers), Genetic and phenotypic traits in livestock (2 papers), Regulation of Appetite and Obesity (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Genetics (342 citations), Endocrine and Autonomic Systems (80 citations), Physiology (194 citations), Biochemistry (36 citations) and Molecular Biology (223 citations). Ping-Zi Wen has collaborated with scholars based in United States, France and Poland. Frequent co-authors include Aldons J. Lusis, Janis S. Fisler, Margarete Mehrabian, Craig H. Warden, R.C. Davis, Karen L. Svenson, Lawrence W. Castellani, Charles R. Farber, Anatole Ghazalpour and Peter S. Gargalovic. Their work appears in journals such as Mammalian Genome, Journal of Clinical Investigation, Physiological Genomics, Journal of Lipid Research and Cell.
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.