Guangping Chen
Impact in
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism
- Biochemistry top 2%
Papers in
- Pharmacology 28
- Pharmacogenetics and Drug Metabolism 28
- Biochemistry 13
- Amino Acid Enzymes and Metabolism 9
- Co-authors
- Smarajit Maiti (15 shared papers)Anna Radomińska‐Pandya (8 shared papers)Jeff M. Sands (19 shared papers)Janet D. Klein (15 shared papers)Otto Fröhlich (12 shared papers)Ira J. Goldberg (4 shared papers)Hiroaki Yagyu (3 shared papers)Yunying Hu (3 shared papers)
- Journals
- American Journal of Physiology-Renal Physiology (11 papers)Journal of Biological Chemistry (6 papers)Journal of Biochemical and Molecular Toxicology (5 papers)Frontiers in Physiology (4 papers)Biochemistry (4 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Guangping Chen
97 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 117
- Pharmacology 328
- Biochemistry 209
- Molecular Biology 1.2k
- Clinical Biochemistry 104
- Cell Biology 251
Countries citing papers authored by Guangping Chen
This map shows the geographic impact of Guangping Chen'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 Guangping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangping Chen more than expected).
Fields of papers citing papers by Guangping Chen
This network shows the impact of papers produced by Guangping Chen. 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 Guangping Chen. The network helps show where Guangping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Guangping Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 336 | |
| 2 | 2006 | 117 | |
| 3 | 2004 | 113 | |
| 4 | 2000 | 97 | |
| 5 | 2000 | 96 | |
| 6 | 2008 | 79 | |
| 7 | 2014 | 72 | |
| 8 | 2019 | 68 | |
| 9 | 2018 | 66 | |
| 10 | 2003 | 59 | |
| 11 | 2006 | 50 | |
| 12 | 2006 | 49 | |
| 13 | 2004 | 47 | |
| 14 | 2008 | 42 | |
| 15 | 2012 | 41 | |
| 16 | 2022 | 39 | |
| 17 | 2011 | 36 | |
| 18 | 2008 | 36 | |
| 19 | 2003 | 36 | |
| 20 | 2018 | 35 |
About Guangping Chen
Guangping Chen is a scholar working on Pharmacology, Biochemistry, Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 101 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (28 papers), Ion Transport and Channel Regulation (20 papers), Estrogen and related hormone effects (18 papers), Pancreatic function and diabetes (17 papers), Hormonal Regulation and Hypertension (9 papers), Amino Acid Enzymes and Metabolism (9 papers), Retinoids in leukemia and cellular processes (7 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Pharmacology (328 citations), Biochemistry (209 citations), Molecular Biology (1.2k citations), Clinical Biochemistry (104 citations) and Cell Biology (251 citations). Guangping Chen has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Smarajit Maiti, Anna Radomińska‐Pandya, Jeff M. Sands, Janet D. Klein, Otto Fröhlich, Ira J. Goldberg, Hiroaki Yagyu, Yunying Hu, Yuko Kako and Xiang Song. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Journal of Biological Chemistry, Journal of Biochemical and Molecular Toxicology, Frontiers in Physiology 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.