Guqi Wang
Impact in
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
- Microbiology top 5%
- Reproductive tract infections research
Papers in
-
- Peroxisome Proliferator-Activated Receptors 7
- Muscle Physiology and Disorders 4
- Metabolomics and Mass Spectrometry Studies 2
- Oncology 6
- Drug Transport and Resistance Mechanisms 4
- Co-authors
- Frank J. Burczynski (21 shared papers)Herbert L. Bonkovsky (8 shared papers)Yuewen Gong (8 shared papers)Michael S. Roberts (3 shared papers)Judy E. Anderson (4 shared papers)Brian B. Hasinoff (4 shared papers)Leonard B. Seeff (1 shared paper)Victor J. Navarro (1 shared paper)
- Journals
- Journal of Lipid Research (2 papers)Microbiology (2 papers)Hepatology (2 papers)Biochemistry and Cell Biology (2 papers)Molecular Pharmaceutics (2 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Guqi Wang
29 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 99
- Pharmacology 153
- Microbiology 102
- Hepatology 77
- Epidemiology 254
- Biochemistry 59
Countries citing papers authored by Guqi Wang
This map shows the geographic impact of Guqi Wang'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 Guqi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guqi Wang more than expected).
Fields of papers citing papers by Guqi Wang
This network shows the impact of papers produced by Guqi Wang. 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 Guqi Wang. The network helps show where Guqi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guqi Wang, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 185 | |
| 2 | 2005 | 138 | |
| 3 | 2014 | 105 | |
| 4 | 2009 | 99 | |
| 5 | 2006 | 86 | |
| 6 | 2017 | 69 | |
| 7 | 2007 | 46 | |
| 8 | 2009 | 45 | |
| 9 | 2008 | 44 | |
| 10 | 2017 | 35 | |
| 11 | 2002 | 30 | |
| 12 | 2009 | 28 | |
| 13 | 2011 | 27 | |
| 14 | 2004 | 23 | |
| 15 | 1997 | 21 | |
| 16 | 2012 | 19 | |
| 17 | 2005 | 16 | |
| 18 | 2014 | 15 | |
| 19 | 2002 | 14 | |
| 20 | 2012 | 10 |
About Guqi Wang
Guqi Wang is a scholar working on Molecular Biology, Oncology, Epidemiology, Clinical Biochemistry and Pharmacology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (7 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Muscle Physiology and Disorders (4 papers), Metabolism and Genetic Disorders (3 papers), Hepatitis B Virus Studies (3 papers), Reproductive tract infections research (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Pharmacology (153 citations), Microbiology (102 citations), Hepatology (77 citations), Epidemiology (254 citations) and Biochemistry (59 citations). Guqi Wang has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Frank J. Burczynski, Herbert L. Bonkovsky, Yuewen Gong, Michael S. Roberts, Judy E. Anderson, Brian B. Hasinoff, Leonard B. Seeff, Victor J. Navarro, Guangming Zhong and Gerald Y. Minuk. Their work appears in journals such as Journal of Lipid Research, Microbiology, Hepatology, Biochemistry and Cell Biology and Molecular Pharmaceutics.
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.