Yuning Liu
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
Papers in
-
- Neuropeptides and Animal Physiology 4
- Neurology 10
- Parkinson's Disease Mechanisms and Treatments 7
- Neurological disorders and treatments 4
- Co-authors
- Kun Tang (12 shared papers)Yunli Peng (2 shared papers)Chun‐Lei Jiang (2 shared papers)Yunxia Wang (2 shared papers)Hanyu Wang (5 shared papers)Lei Liu (1 shared paper)Xia Wang (1 shared paper)Song Gao (1 shared paper)
- Journals
- BMC Public Health (3 papers)Neurobiology of Disease (3 papers)Brain Research (3 papers)American Journal of Physiology-Regulatory, Integrative and Comparative Physiology (3 papers)The Journal of Steroid Biochemistry and Molecular Biology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yuning Liu
65 papers receiving 927 citations
Peers
Comparison fields: 5 of 128
- Biological Psychiatry 144
- Behavioral Neuroscience 116
- Neurology 56
- Neurology 93
- Epidemiology 193
Countries citing papers authored by Yuning Liu
This map shows the geographic impact of Yuning 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 Yuning Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuning Liu more than expected).
Fields of papers citing papers by Yuning Liu
This network shows the impact of papers produced by Yuning 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 Yuning Liu. The network helps show where Yuning Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuning 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 112 | |
| 2 | 2015 | 108 | |
| 3 | 2021 | 75 | |
| 4 | 2019 | 70 | |
| 5 | 2018 | 48 | |
| 6 | 2019 | 45 | |
| 7 | 2018 | 34 | |
| 8 | 2019 | 29 | |
| 9 | 2019 | 25 | |
| 10 | 2021 | 24 | |
| 11 | 2024 | 23 | |
| 12 | 2021 | 21 | |
| 13 | 2019 | 20 | |
| 14 | 2022 | 19 | |
| 15 | 2020 | 19 | |
| 16 | 2014 | 17 | |
| 17 | 2019 | 16 | |
| 18 | 2022 | 15 | |
| 19 | 2020 | 13 | |
| 20 | 2021 | 13 |
About Yuning Liu
Yuning Liu is a scholar working on Cellular and Molecular Neuroscience, Neurology, Epidemiology, Molecular Biology and Genetics, having authored 71 papers that have together received 943 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Estrogen and related hormone effects (5 papers), Neurological disorders and treatments (4 papers), Breastfeeding Practices and Influences (4 papers), Neuropeptides and Animal Physiology (4 papers), Child Nutrition and Water Access (3 papers), Impact of Technology on Adolescents (3 papers) and Reproductive System and Pregnancy (3 papers). The work is most often cited by research in Biological Psychiatry (144 citations), Behavioral Neuroscience (116 citations), Neurology (56 citations), Neurology (93 citations) and Epidemiology (193 citations). Yuning Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kun Tang, Yunli Peng, Chun‐Lei Jiang, Yunxia Wang, Hanyu Wang, Lei Liu, Xia Wang, Song Gao, Fan Zhang and Yuhao Kang. Their work appears in journals such as BMC Public Health, Neurobiology of Disease, Brain Research, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and The Journal of Steroid Biochemistry and Molecular Biology.
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.