Ying Liu
Impact in
- Drug Discovery top 5%
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems
- Advanced Drug Delivery Systems
Papers in
-
- Plant Stress Responses and Tolerance 17
- Plant Molecular Biology Research 7
- Wheat and Barley Genetics and Pathology 5
- Soybean genetics and cultivation 4
- Plant Virus Research Studies 4
-
- Advanced Drug Delivery Systems 6
- Drug Solubulity and Delivery Systems 6
- Co-authors
- Susan J. Murch (4 shared papers)Diane Ragone (3 shared papers)舒拥军 (1 shared paper)Changhong Guo (1 shared paper)Lili Song (1 shared paper)Jun Zhang (1 shared paper)Ying Zhao (4 shared papers)Yanna Hao (4 shared papers)
- Journals
- Frontiers in Plant Science (5 papers)Plants (4 papers)Materials & Design (3 papers)Horticulture Research (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ying Liu
134 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Drug Discovery 14
- Pharmaceutical Science 133
- Plant Science 620
- Biomaterials 97
- Food Science 127
Countries citing papers authored by Ying Liu
This map shows the geographic impact of Ying 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 Ying Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Liu more than expected).
Fields of papers citing papers by Ying Liu
This network shows the impact of papers produced by Ying 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 Ying Liu. The network helps show where Ying Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying 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 247 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 154 | |
| 2 | 2016 | 128 | |
| 3 | 2021 | 109 | |
| 4 | 2016 | 75 | |
| 5 | 2011 | 59 | |
| 6 | 2019 | 57 | |
| 7 | 2015 | 51 | |
| 8 | 2015 | 47 | |
| 9 | 2017 | 45 | |
| 10 | 2014 | 40 | |
| 11 | 2012 | 39 | |
| 12 | 2020 | 28 | |
| 13 | 2017 | 27 | |
| 14 | 2018 | 27 | |
| 15 | 2021 | 26 | |
| 16 | 2020 | 25 | |
| 17 | 2020 | 24 | |
| 18 | 2014 | 22 | |
| 19 | 2019 | 22 | |
| 20 | 2018 | 18 |
About Ying Liu
Ying Liu is a scholar working on Plant Science, Pharmaceutical Science, Food Science, Biomaterials and Analytical Chemistry, having authored 247 papers that have together received 1.5k indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (17 papers), Plant Molecular Biology Research (7 papers), Advanced Drug Delivery Systems (6 papers), Plant tissue culture and regeneration (6 papers), Drug Solubulity and Delivery Systems (6 papers), Wheat and Barley Genetics and Pathology (5 papers), Soybean genetics and cultivation (4 papers) and Plant Virus Research Studies (4 papers). The work is most often cited by research in Drug Discovery (14 citations), Pharmaceutical Science (133 citations), Plant Science (620 citations), Biomaterials (97 citations) and Food Science (127 citations). Ying Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Susan J. Murch, Diane Ragone, 舒拥军, Changhong Guo, Lili Song, Jun Zhang, Ying Zhao, Yanna Hao, Jie Jiang and Chao Wu. Their work appears in journals such as Frontiers in Plant Science, Plants, Materials & Design, Horticulture Research and Proceedings of the National Academy of Sciences.
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.