Yu-Shun Shi

408 citations
13 papers · 349 indexed · h-index 9
Topics
Pain Mechanisms and Treatments (8 papers)Acupuncture Treatment Research Studies (5 papers)Neuropeptides and Animal Physiology (4 papers)

In The Last Decade

Yu-Shun Shi

13 papers receiving 342 citations

Peers

Yu-Shun Shi
Comparison fields: 5 of 58
  • Physiology 238
  • Complementary and alternative medicine 163
  • Cellular and Molecular Neuroscience 85
  • Cognitive Neuroscience 78
  • Pharmacology 69
Replace Han Jisheng with:
Han Jisheng China
Jae‐Hwan Jang South Korea
Hsin-Jung Lee Taiwan
Mikael Brusberg Sweden
Hajime Ariga United States
Hamed Ghazvini Iran
Liuzhen Wu China
Zui Shen China
Minna M. Hämäläinen Finland
Liuqing Huang China
Yu-Shun Shi relative to Han Jisheng China Han Jisheng's profile →
Citations per field
00.5×10×15×
Han Jisheng · 1×
Citations per year

Countries citing papers authored by Yu-Shun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Shun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Shun Shi. 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 Yu-Shun Shi. The network helps show where Yu-Shun Shi may publish in the future.

Co-authorship network of co-authors of Yu-Shun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Shun Shi. A scholar is included among the top collaborators of Yu-Shun Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yu-Shun Shi. Yu-Shun Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 15
2 35
3 3
4 36
5 57
6 24
7 67
8 13
9
[Electroacupuncture up-regulated arcuate nucleus alpha-MSH expression in the rat of diet-induced obesity].
8
10
[Study on the effect of transcutaneous electric nerve stimulation on obesity].
5
11 51
12 3
13 32

About Yu-Shun Shi

Yu-Shun Shi is a scholar working on Endocrine and Autonomic Systems, Complementary and alternative medicine and Physiology, having authored 13 papers that have together received 349 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (8 papers), Acupuncture Treatment Research Studies (5 papers) and Neuropeptides and Animal Physiology (4 papers). The work is most often cited by research in Complementary and alternative medicine (163 citations), Physiology (238 citations) and Endocrine and Autonomic Systems (58 citations). Yu-Shun Shi has collaborated with scholars based in China, United States and Montenegro. Frequent co-authors include Ji‐Sheng Han, You Wan, Cheng Huang, Qing‐Ping Ma, Zhiping Hu, Derun Tian, Jaw‐Kang Chang, Yu-Ting Xuan, Jun Yang and Xiaomin Wang. Their work appears in journals such as Brain Research, Neuroscience and Neuroscience Letters.

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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