Su Guan
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Pharmacological Effects of Natural Compounds
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- Traditional Chinese Medicine Analysis
Papers in
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- Metabolomics and Mass Spectrometry Studies 7
- Natural product bioactivities and synthesis 4
- Cancer therapeutics and mechanisms 3
- Oncology 14
- Co-authors
- Min Huang (12 shared papers)Pingping Sun (2 shared papers)Fang Yuan (2 shared papers)Jing Xu (1 shared paper)Jie Chen (1 shared paper)Shufeng Zhou (4 shared papers)Mu‐Sheng Zeng (3 shared papers)Wei Duan (2 shared papers)
In The Last Decade
Su Guan
50 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 112
- Pharmacology 176
- Complementary and alternative medicine 153
- Oncology 293
- Cancer Research 134
- Molecular Biology 474
Countries citing papers authored by Su Guan
This map shows the geographic impact of Su Guan'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 Su Guan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Guan more than expected).
Fields of papers citing papers by Su Guan
This network shows the impact of papers produced by Su Guan. 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 Su Guan. The network helps show where Su Guan may publish in the future.
Co-authors
The 25 scholars most cited alongside Su Guan, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 157 | |
| 2 | 2013 | 83 | |
| 3 | 2006 | 76 | |
| 4 | 2012 | 58 | |
| 5 | 2019 | 47 | |
| 6 | 2010 | 39 | |
| 7 | 2014 | 39 | |
| 8 | 2006 | 39 | |
| 9 | 2006 | 35 | |
| 10 | 2016 | 34 | |
| 11 | 2008 | 33 | |
| 12 | 2014 | 33 | |
| 13 | 2008 | 32 | |
| 14 | 2015 | 24 | |
| 15 | 2019 | 23 | |
| 16 | 2020 | 20 | |
| 17 | 2017 | 19 | |
| 18 | 2015 | 18 | |
| 19 | 2016 | 18 | |
| 20 | 2011 | 17 |
About Su Guan
Su Guan is a scholar working on Molecular Biology, Oncology, Pharmacology, Complementary and alternative medicine and Epidemiology, having authored 53 papers that have together received 1.0k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Pharmacogenetics and Drug Metabolism (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Natural product bioactivities and synthesis (4 papers), Crystallization and Solubility Studies (3 papers), Traditional Chinese Medicine Analysis (3 papers), Cancer therapeutics and mechanisms (3 papers) and Crystallography and molecular interactions (3 papers). The work is most often cited by research in Pharmacology (176 citations), Complementary and alternative medicine (153 citations), Oncology (293 citations), Cancer Research (134 citations) and Molecular Biology (474 citations). Su Guan has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Min Huang, Pingping Sun, Fang Yuan, Jing Xu, Jie Chen, Shufeng Zhou, Mu‐Sheng Zeng, Wei Duan, Xueding Wang and Man-Zhi Li. Their work appears in journals such as Journal of Proteome Research, Journal of Neuro-Oncology, European Journal of Pharmacology, Biomedical Chromatography and British Journal of Clinical 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.