Na Yue

947 citations
27 papers · 733 indexed · h-index 13

Impact in

Papers in

Na Yue

26 papers receiving 727 citations

Peers

Na Yue
Comparison fields: 5 of 97
  • Biological Psychiatry 256
  • Behavioral Neuroscience 178
  • Physiology 89
  • Complementary and alternative medicine 128
  • Neurology 127
Replace Marta Gazal with:
Marta Gazal Brazil
Fernanda Neutzling Kaufmann Brazil
Júlia Dübois Moreira Brazil
Fernanda Urruth Fontella Brazil
Francielle Mina Brazil
Camila O. Arent Brazil
Anbrin Masood India
R.C. Cordeiro Brazil
Yong‐Jie Lian China
Bruk Getachew United States
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Citations per field
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Citations per year

Countries citing papers authored by Na Yue

Since Specialization
Citations

This map shows the geographic impact of Na Yue'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 Na Yue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Yue more than expected).

Fields of papers citing papers by Na Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Na Yue. 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 Na Yue. The network helps show where Na Yue may publish in the future.

Co-authors

The 25 scholars most cited alongside Na Yue, 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 Na Yue Line = papers co-authored together Na Yue links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20235
3 202310
4 202327
5 202217
6 20224
7 20227
8 20229
9 202012
10 20204
11 202023
12 20206
13
Antianxiety and anti-depressant effects of Maca (L. meyenii) ethanolic extract on chronic unpredictable mild stress of rats through hypothalamic-pituitary-adrenal axis
20190
14 20181
15 201873
16 2017260
17 201799
18 201420
19 201462
20 201330

About Na Yue

Na Yue is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Complementary and alternative medicine, Developmental Neuroscience and Gastroenterology, having authored 27 papers that have together received 733 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (5 papers), Tryptophan and brain disorders (4 papers), Acupuncture Treatment Research Studies (4 papers), Pharmacological Effects of Natural Compounds (3 papers), Gastroesophageal reflux and treatments (2 papers), Cardiovascular Disease and Adiposity (2 papers), Ginseng Biological Effects and Applications (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (256 citations), Behavioral Neuroscience (178 citations), Physiology (89 citations), Complementary and alternative medicine (128 citations) and Neurology (127 citations). Na Yue has collaborated with scholars based in China and United States. Frequent co-authors include Jin Yu, Gen-Cheng Wu, Qiu-Qin Han, Xiaocang Zhu, Qiong Liu, Bing Li, Huijie Huang, Yalin Wang, Yu‐Qiu Zhang and Rui Yu. Their work appears in journals such as Frontiers in Molecular Neuroscience, Evidence-based Complementary and Alternative Medicine, International Journal of Biological Macromolecules, Behavioural Brain Research and Journal of Neuroinflammation.

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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