Ying Liu
- Molecular Biology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Pharmacology top 2%
- Epidemiology top 5%
- Neurology top 5%
- Co-authors
- Lisa BarberaHsien SeowRinku SutradharClare AtzemaAmna HusainCraig C. EarleJonathan SussmanDeborah Dudgeon
- Topics
- Parkinson's Disease Mechanisms and Treatments (27 papers)Dementia and Cognitive Impairment Research (16 papers)Palliative Care and End-of-Life Issues (12 papers)
- Cited by
- PharmacologyNeurologyOphthalmology
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ying Liu
245 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Molecular Biology 904
- Public Health, Environmental and Occupational Health 530
- Pharmacology 523
- Epidemiology 482
- Neurology 389
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-authorship network of co-authors of Ying Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Liu. A scholar is included among the top collaborators of Ying Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying Liu. Ying Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 18 | |
| 12 | 30 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 13 | |
| 16 | 3 | |
| 17 | 327 | |
| 18 | 0 | |
| 19 | Preparation and Properties of Diethylstilbestrol Molecular Imprinted Polymers Sensor | 1 |
| 20 | Influence of ultraflne comminution technology on dissolving of polysaccharide from both Astragalus membranaceus (Fisch.) Bunge. and Epimedium brevicornum Maxim. | 1 |
About Ying Liu
Ying Liu is a scholar working on Pharmacology, Neurology and Geriatrics and Gerontology, having authored 268 papers that have together received 3.9k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (27 papers), Dementia and Cognitive Impairment Research (16 papers) and Palliative Care and End-of-Life Issues (12 papers). The work is most often cited by research in Pharmacology (523 citations), Neurology (389 citations) and Ophthalmology (183 citations). Ying Liu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lisa Barbera, Hsien Seow, Rinku Sutradhar, Clare Atzema, Amna Husain, Craig C. Earle, Jonathan Sussman, Deborah Dudgeon, Doris Howell and Daniel W. Armstrong. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.
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.