Yuning Liu

1.3k citations
67 papers · 893 indexed · h-index 17

Yuning Liu

60 papers receiving 874 citations

Peers

Yuning Liu
Comparison fields: 5 of 131
  • Biological Psychiatry 155
  • Behavioral Neuroscience 135
  • Neurology 59
  • Nutrition and Dietetics 107
  • Psychiatry and Mental health 99
Replace Susan J. Melhorn with:
Susan J. Melhorn United States
Xinyu Fang China
Douglas Hanes United States
Leanna Delhey United States
Thelma Beatriz González‐Castro Mexico
Lars‐Håkan Thorell Sweden
Süheyla Ünal Türkiye
Muneeb A. Faiq India
Kathleen A. Page United States
Bartłomiej Stańczykiewicz Poland
Yuning Liu relative to Susan J. Melhorn United States Susan J. Melhorn's profile →
Citations per field
00.5×4.5×
Susan J. Melhorn · 1×
Citations per year

Countries citing papers authored by Yuning Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Yuning Liu Line = papers co-authored together Yuning Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20240
5 20241
6 20241
7 20243
8 20230
9 20231
10 202013
11 201916
12 201920
13 20195
14 201968
15 20199
16 20199
17 201942
18 201846
19 20172
20 2015108

About Yuning Liu

Yuning Liu is a scholar working on Behavioral Neuroscience, Biological Psychiatry, Neurology, Applied Psychology and Nutrition and Dietetics, having authored 67 papers that have together received 893 indexed citations. Recurring topics across this work include Child Nutrition and Water Access (7 papers), Parkinson's Disease Mechanisms and Treatments (7 papers), Estrogen and related hormone effects (5 papers), Neurological disorders and treatments (5 papers), Neuropeptides and Animal Physiology (4 papers), Breastfeeding Practices and Influences (4 papers), Botulinum Toxin and Related Neurological Disorders (3 papers) and Vitamin D Research Studies (3 papers). The work is most often cited by research in Biological Psychiatry (155 citations), Behavioral Neuroscience (135 citations), Neurology (59 citations), Nutrition and Dietetics (107 citations) and Psychiatry and Mental health (99 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, Xia Wang, Lei Liu, Hanyu Wang, Yuhao Kang, Song Gao and Fan Zhang. Their work appears in journals such as Neurobiology of Disease, BMC Public Health, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Scientific Reports and CNS Neuroscience & Therapeutics.

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.

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