Mingna Liu
Impact in
- Ophthalmology top 5%
- Glaucoma and retinal disorders
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
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- Retinal Development and Disorders 16
- Developmental Biology and Gene Regulation 2
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- Glaucoma and retinal disorders 9
- Co-authors
- Jianhua Cang (8 shared papers)Xinyu Zhao (2 shared papers)Xiaorong Liu (15 shared papers)Liang Feng (2 shared papers)Hao F. Zhang (10 shared papers)Lupeng Wang (2 shared papers)Bor‐Shuen Wang (1 shared paper)Mark A. Segraves (1 shared paper)
- Journals
- Translational Vision Science & Technology (3 papers)Journal of Neuroscience (3 papers)Experimental Eye Research (2 papers)eNeuro (2 papers)Journal of Neurophysiology (2 papers)
- Partner nations
- United StatesChinaPhilippines
In The Last Decade
Mingna Liu
41 papers receiving 851 citations
Peers
Comparison fields: 5 of 101
- Ophthalmology 126
- Cellular and Molecular Neuroscience 277
- Cognitive Neuroscience 236
- Sensory Systems 54
- Neurology 55
Countries citing papers authored by Mingna Liu
This map shows the geographic impact of Mingna 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 Mingna Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingna Liu more than expected).
Fields of papers citing papers by Mingna Liu
This network shows the impact of papers produced by Mingna 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 Mingna Liu. The network helps show where Mingna Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingna 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 157 | |
| 2 | 2006 | 71 | |
| 3 | 2015 | 66 | |
| 4 | 2013 | 53 | |
| 5 | 2015 | 43 | |
| 6 | 2013 | 40 | |
| 7 | 2017 | 39 | |
| 8 | 2016 | 32 | |
| 9 | 2013 | 28 | |
| 10 | 2020 | 25 | |
| 11 | 2020 | 25 | |
| 12 | 2009 | 25 | |
| 13 | 2019 | 20 | |
| 14 | 2020 | 20 | |
| 15 | 2018 | 17 | |
| 16 | 2021 | 15 | |
| 17 | 2005 | 15 | |
| 18 | 2009 | 15 | |
| 19 | 2021 | 14 | |
| 20 | 2015 | 14 |
About Mingna Liu
Mingna Liu is a scholar working on Molecular Biology, Ophthalmology, Cellular and Molecular Neuroscience, Biomedical Engineering and Oncology, having authored 44 papers that have together received 858 indexed citations. Recurring topics across this work include Retinal Development and Disorders (16 papers), Glaucoma and retinal disorders (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Optical Coherence Tomography Applications (7 papers), Neural dynamics and brain function (3 papers), Cellular transport and secretion (2 papers), Developmental Biology and Gene Regulation (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Ophthalmology (126 citations), Cellular and Molecular Neuroscience (277 citations), Cognitive Neuroscience (236 citations), Sensory Systems (54 citations) and Neurology (55 citations). Mingna Liu has collaborated with scholars based in United States, China and Philippines. Frequent co-authors include Jianhua Cang, Xinyu Zhao, Xiaorong Liu, Liang Feng, Hao F. Zhang, Lupeng Wang, Bor‐Shuen Wang, Mark A. Segraves, Weifeng Xu and David A. Miller. Their work appears in journals such as Translational Vision Science & Technology, Journal of Neuroscience, Experimental Eye Research, eNeuro and Journal of Neurophysiology.
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.