Guoping Zhong
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
Papers in
- Oncology 17
- Drug Transport and Resistance Mechanisms 8
- Cancer Treatment and Pharmacology 5
- Co-authors
- Min Huang (36 shared papers)Huichang Bi (14 shared papers)R C Brunham (1 shared paper)Zhiying Huang (5 shared papers)Yanping Guan (13 shared papers)Greg Brown (1 shared paper)Iderlina Mateo‐Babiano (1 shared paper)Yan Liu (1 shared paper)
- Journals
- Biomedical Chromatography (5 papers)Journal of Pharmaceutical and Biomedical Analysis (5 papers)Bioanalysis (4 papers)Biopharmaceutics & Drug Disposition (4 papers)Frontiers in Pharmacology (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Guoping Zhong
71 papers receiving 841 citations
Peers
Comparison fields: 5 of 107
- Pharmacology 103
- Molecular Medicine 46
- Complementary and alternative medicine 50
- Physiology 26
- Microbiology 34
Countries citing papers authored by Guoping Zhong
This map shows the geographic impact of Guoping Zhong'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 Guoping Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoping Zhong more than expected).
Fields of papers citing papers by Guoping Zhong
This network shows the impact of papers produced by Guoping Zhong. 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 Guoping Zhong. The network helps show where Guoping Zhong may publish in the future.
Co-authors
The 25 scholars most cited alongside Guoping Zhong, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 121 | |
| 2 | 2015 | 69 | |
| 3 | 1993 | 66 | |
| 4 | 2016 | 45 | |
| 5 | 2008 | 30 | |
| 6 | 2019 | 29 | |
| 7 | 2011 | 27 | |
| 8 | 2010 | 24 | |
| 9 | 2013 | 24 | |
| 10 | 2011 | 23 | |
| 11 | 2024 | 22 | |
| 12 | 2014 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2014 | 18 | |
| 15 | 2016 | 18 | |
| 16 | 2023 | 17 | |
| 17 | 2022 | 16 | |
| 18 | 2017 | 15 | |
| 19 | 2019 | 12 | |
| 20 | 2023 | 11 |
About Guoping Zhong
Guoping Zhong is a scholar working on Molecular Biology, Oncology, Pharmacology, Pharmacology and Spectroscopy, having authored 72 papers that have together received 850 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (8 papers), Pharmacogenetics and Drug Metabolism (7 papers), Analytical Chemistry and Chromatography (7 papers), Cancer Treatment and Pharmacology (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Estrogen and related hormone effects (4 papers) and Pharmacological Effects and Toxicity Studies (4 papers). The work is most often cited by research in Pharmacology (103 citations), Molecular Medicine (46 citations), Complementary and alternative medicine (50 citations), Physiology (26 citations) and Microbiology (34 citations). Guoping Zhong has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Min Huang, Huichang Bi, R C Brunham, Zhiying Huang, Yanping Guan, Greg Brown, Iderlina Mateo‐Babiano, Yan Liu, Dong Wang and Peiqing Liu. Their work appears in journals such as Biomedical Chromatography, Journal of Pharmaceutical and Biomedical Analysis, Bioanalysis, Biopharmaceutics & Drug Disposition and Frontiers in Pharmacology.
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.