Ya Tu

92 papers receiving 1.1k citations

Peers

Ya Tu
Comparison fields: 5 of 110
  • Biological Psychiatry 157
  • Complementary and alternative medicine 449
  • Behavioral Neuroscience 178
  • Neurology 78
  • Cognitive Neuroscience 143
Replace Sophia Khom with:
Sophia Khom Austria
Jing Liang United States
Sun Seek Min South Korea
Jogender Mehla India
Yao‐Ying Ma United States
Bao‐Shan Ku China
Manuela Pădurariu Romania
Debapriya Garabadu India
Deepak Sharma India
Hojjatallah Alaei Iran
Ya Tu relative to Sophia Khom Austria Sophia Khom's profile →
Citations per field
00.5×1.5×2.0×
Sophia Khom · 1×
Citations per year

Countries citing papers authored by Ya Tu

Since Specialization
Citations

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

Fields of papers citing papers by Ya Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021124
2 2015102
3 201668
4 201659
5 201352
6 201640
7 201434
8 201131
9 201731
10 202131
11 201629
12 201428
13 200928
14 202125
15 201625
16 201624
17
[Effect of electroacupuncture of "Baihui" (GV 20)-"Yintang" (EX-HN 3) on the expression of glucocorticoid and glucocorticoid receptor mRNA of the chronic stress model rats].
201021
18
[Assessment of effectiveness of electroacupuncture and fluoxetine for treatment of depression with physical symptoms].
200821
19 201620
20 201619

About Ya Tu

Ya Tu is a scholar working on Complementary and alternative medicine, Behavioral Neuroscience, Pharmacology, Molecular Biology and Pharmacology, having authored 95 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (29 papers), Stress Responses and Cortisol (13 papers), Traditional Chinese Medicine Studies (10 papers), Healthcare and Venom Research (9 papers), Tryptophan and brain disorders (9 papers), Pharmacological Effects of Natural Compounds (5 papers), Plant-based Medicinal Research (4 papers) and Piperaceae Chemical and Biological Studies (4 papers). The work is most often cited by research in Biological Psychiatry (157 citations), Complementary and alternative medicine (449 citations), Behavioral Neuroscience (178 citations), Neurology (78 citations) and Cognitive Neuroscience (143 citations). Ya Tu has collaborated with scholars based in China, United States and Mongolia. Frequent co-authors include Dongmei Duan, Jun Lü, Jian‐You Guo, Shuang Jiao, Xinjing Yang, Shasha Ge, Li Hu, Zhiyong Li, Duo Lan and Jiwon Hwang. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Journal of Ethnopharmacology, The Journal of Alternative and Complementary Medicine, Acupuncture in Medicine and Chinese Journal of Integrative Medicine.

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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