Ya Tu

88 papers receiving 1.1k citations

Peers

Ya Tu
Comparison fields: 5 of 110
  • Biological Psychiatry 193
  • Behavioral Neuroscience 243
  • Complementary and alternative medicine 475
  • Neurology 102
  • Cognitive Neuroscience 186
Replace Min Cai with:
Min Cai China
Jing Liang United States
Cong Lü China
Jiesi Wang China
Manuela Pădurariu Romania
Anete Curte Ferraz Brazil
Dongfeng Zhou China
Bao‐Shan Ku China
Pan Xu China
Rongjie Zhao South Korea
Ya Tu relative to Min Cai China Min Cai's profile →
Citations per field
00.5×3.2×
Min Cai · 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 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021108
2 201598
3 201662
4 201658
5 201352
6 201639
7 201434
8 202131
9 201730
10 201130
11 201629
12 200928
13 201428
14 201625
15 202125
16 201624
17
[Assessment of effectiveness of electroacupuncture and fluoxetine for treatment of depression with physical symptoms].
200821
18
[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].
201020
19 201619
20 201619

About Ya Tu

Ya Tu is a scholar working on Complementary and alternative medicine, Biological Psychiatry, Behavioral Neuroscience, Pharmacology and Pharmacology, having authored 91 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acupuncture Treatment Research Studies (48 papers), Stress Responses and Cortisol (19 papers), Healthcare and Venom Research (14 papers), Tryptophan and brain disorders (14 papers), Traditional Chinese Medicine Studies (12 papers), Neurological Disease Mechanisms and Treatments (6 papers), Pharmacological Effects of Natural Compounds (6 papers) and Pain Management and Placebo Effect (5 papers). The work is most often cited by research in Biological Psychiatry (193 citations), Behavioral Neuroscience (243 citations), Complementary and alternative medicine (475 citations), Neurology (102 citations) and Cognitive Neuroscience (186 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, Li Hu, Jiwon Hwang, Xiuyan Yang, Zhiyong Li and Duo Lan. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Journal of Ethnopharmacology, Acupuncture in Medicine, The Journal of Alternative and Complementary 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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