Suyan Liu
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
- Oncology 18
- Cancer Cells and Metastasis 7
- Drug Transport and Resistance Mechanisms 5
- Metal complexes synthesis and properties 4
- Co-authors
- Frank J. Gonzalez (5 shared papers)Masahiko Yano (3 shared papers)Shiyang Wu (6 shared papers)T. Michael Redmond (3 shared papers)Jiasen Xu (3 shared papers)Zhiming Liu (3 shared papers)Liurong Fang (3 shared papers)Shaobo Xiao (3 shared papers)
- Journals
- Journal of Ethnopharmacology (8 papers)International Journal of Molecular Sciences (3 papers)Frontiers in Pharmacology (3 papers)Pharmaceutical Biology (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Suyan Liu
62 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 114
- Pharmacology 233
- Cancer Research 346
- Oncology 564
- Ophthalmology 181
- Animal Science and Zoology 176
Countries citing papers authored by Suyan Liu
This map shows the geographic impact of Suyan Liu'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 Suyan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suyan Liu more than expected).
Fields of papers citing papers by Suyan Liu
This network shows the impact of papers produced by Suyan Liu. 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 Suyan Liu. The network helps show where Suyan Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Suyan Liu, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 229 | |
| 2 | 2001 | 186 | |
| 3 | 2009 | 112 | |
| 4 | 1994 | 108 | |
| 5 | 1993 | 88 | |
| 6 | 1995 | 83 | |
| 7 | 2016 | 83 | |
| 8 | 2010 | 55 | |
| 9 | 2013 | 51 | |
| 10 | 2016 | 43 | |
| 11 | 2000 | 43 | |
| 12 | 1996 | 39 | |
| 13 | 2017 | 33 | |
| 14 | 2020 | 31 | |
| 15 | 2015 | 31 | |
| 16 | 2018 | 29 | |
| 17 | 1990 | 27 | |
| 18 | 2010 | 27 | |
| 19 | 1993 | 26 | |
| 20 | 2013 | 26 |
About Suyan Liu
Suyan Liu is a scholar working on Molecular Biology, Oncology, Pharmacology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 66 papers that have together received 1.8k indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (13 papers), Nephrotoxicity and Medicinal Plants (10 papers), Cancer Cells and Metastasis (7 papers), Mast cells and histamine (6 papers), Pharmacogenetics and Drug Metabolism (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Cancer Genomics and Diagnostics (4 papers) and Metal complexes synthesis and properties (4 papers). The work is most often cited by research in Pharmacology (233 citations), Cancer Research (346 citations), Oncology (564 citations), Ophthalmology (181 citations) and Animal Science and Zoology (176 citations). Suyan Liu has collaborated with scholars based in China, United States and India. Frequent co-authors include Frank J. Gonzalez, Masahiko Yano, Shiyang Wu, T. Michael Redmond, Jiasen Xu, Zhiming Liu, Liurong Fang, Shaobo Xiao, Jing Li and Dinghua Yang. Their work appears in journals such as Journal of Ethnopharmacology, International Journal of Molecular Sciences, Frontiers in Pharmacology, Pharmaceutical Biology and Oncotarget.
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.