Shu-Ping Fu

703 total citations
34 papers, 512 citations indexed

About

Shu-Ping Fu is a scholar working on Complementary and alternative medicine, Physiology and Molecular Biology. According to data from OpenAlex, Shu-Ping Fu has authored 34 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Complementary and alternative medicine, 8 papers in Physiology and 7 papers in Molecular Biology. Recurrent topics in Shu-Ping Fu's work include Acupuncture Treatment Research Studies (18 papers), Traditional Chinese Medicine Studies (4 papers) and Vagus Nerve Stimulation Research (3 papers). Shu-Ping Fu is often cited by papers focused on Acupuncture Treatment Research Studies (18 papers), Traditional Chinese Medicine Studies (4 papers) and Vagus Nerve Stimulation Research (3 papers). Shu-Ping Fu collaborates with scholars based in China, Canada and United States. Shu-Ping Fu's co-authors include Meiling Yu, Sheng-Feng Lu, Bing‐Mei Zhu, S. Lu, Xingmiao Chen, Xi Chen, Mingjing Xu, Jiang Jian-qin, Jiangang Shen and Yong Gu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Molecules.

In The Last Decade

Shu-Ping Fu

33 papers receiving 509 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shu-Ping Fu China 14 253 122 112 109 69 34 512
Xiaoling Zhu China 16 137 0.5× 150 1.2× 81 0.7× 158 1.4× 44 0.6× 27 561
Ji-huang Li China 12 166 0.7× 199 1.6× 65 0.6× 140 1.3× 15 0.2× 14 548
Ya-Shuo Feng China 14 103 0.4× 268 2.2× 111 1.0× 226 2.1× 28 0.4× 21 705
Bo Yin China 14 96 0.4× 289 2.4× 78 0.7× 192 1.8× 30 0.4× 21 657
Fengxia Tu China 12 65 0.3× 155 1.3× 62 0.6× 148 1.4× 27 0.4× 14 412
Xiao‐Hui Xiang China 15 117 0.5× 139 1.1× 96 0.9× 27 0.2× 22 0.3× 27 499
Qinxue Dai China 16 137 0.5× 338 2.8× 115 1.0× 160 1.5× 19 0.3× 48 744
Nina Yin China 14 140 0.6× 132 1.1× 78 0.7× 74 0.7× 12 0.2× 28 463
Ruxun Huang China 17 109 0.4× 202 1.7× 85 0.8× 457 4.2× 80 1.2× 46 974
Chao-Chao Yu China 14 168 0.7× 189 1.5× 136 1.2× 82 0.8× 9 0.1× 32 466

Countries citing papers authored by Shu-Ping Fu

Since Specialization
Citations

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

Fields of papers citing papers by Shu-Ping Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-Ping Fu. 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 Shu-Ping Fu. The network helps show where Shu-Ping Fu may publish in the future.

Co-authorship network of co-authors of Shu-Ping Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Shu-Ping Fu. A scholar is included among the top collaborators of Shu-Ping Fu 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 Shu-Ping Fu. Shu-Ping Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Tian, Jilai, Zhen Yang, Mengting Wang, et al.. (2024). PDL1/HER2‐Targeted Lipid‐Encapsulated Oxygen Nanobubbles Combined with Photodynamic Therapy for HER2+ Breast Cancer Immunotherapy. Advanced Healthcare Materials. 13(31). e2400030–e2400030. 6 indexed citations
3.
Fu, Shu-Ping, Dongqiang Zeng, Shi‐Long Lu, et al.. (2021). Predicting response to vitamin D treatment on osteoarthritis-A radiomics nomogram study based on magnetic resonance imaging. Osteoarthritis and Cartilage. 29. S347–S348. 3 indexed citations
4.
Hong, Hao, Zhenzhong Cui, Lu Zhu, et al.. (2021). Correction to: Central IGF1 improves glucose tolerance and insulin sensitivity in mice. Nutrition and Diabetes. 11(1). 9–9. 1 indexed citations
5.
Fu, Shu-Ping, Meiling Yu, Qing Liu, et al.. (2021). Genome-Wide Transcription Analysis of Electroacupuncture Precondition-Induced Ischemic Tolerance on SD Rat With Ischemia–Reperfusion Injury. Frontiers in Genetics. 12. 719201–719201. 5 indexed citations
6.
Yu, Meiling, et al.. (2020). Acupuncture for Cancer‐Induced Bone Pain in Animal Models: A Systemic Review and Meta‐Analysis. Evidence-based Complementary and Alternative Medicine. 2020(1). 5606823–5606823. 1 indexed citations
7.
Ma, Yuzhu, et al.. (2020). Identification and Verification of Core Genes in Colorectal Cancer. BioMed Research International. 2020(1). 8082697–8082697. 35 indexed citations
8.
Zhang, Tao, Yaling Wang, Jing Yuan, et al.. (2020). Electroacupuncture preconditioning attenuates acute myocardial ischemia injury through inhibiting NLRP3 inflammasome activation in mice. Life Sciences. 248. 117451–117451. 31 indexed citations
9.
Yu, Meiling, Tao Zhang, Jun‐Meng Wang, et al.. (2020). Electroacupuncture Relieves Pain and Attenuates Inflammation Progression Through Inducing IL-10 Production in CFA-Induced Mice. Inflammation. 43(4). 1233–1245. 42 indexed citations
10.
Fan, Xiaolin, Meiling Yu, Shu-Ping Fu, Yi Zhuang, & S. Lu. (2019). Effectiveness of Acupuncture in Treatment of Simple Obesity in Animal Models: A Systematic Review and Meta-Analysis. Evidence-based Complementary and Alternative Medicine. 2019. 1–36. 13 indexed citations
11.
Lu, S., Tao Zhang, Shu-Ping Fu, et al.. (2019). Electroacupuncture Reduces Body Weight by Regulating Fat Browning-Related Proteins of Adipose Tissue in HFD-Induced Obese Mice. Frontiers in Psychiatry. 10. 353–353. 17 indexed citations
12.
Fu, Shu-Ping, Hao Hong, S. Lu, et al.. (2017). Genome-wide regulation of electro-acupuncture on the neural Stat5-loss-induced obese mice. PLoS ONE. 12(8). e0181948–e0181948. 15 indexed citations
13.
Hong, Hao, Zhenzhong Cui, Lu Zhu, et al.. (2017). Central IGF1 improves glucose tolerance and insulin sensitivity in mice. Nutrition and Diabetes. 7(12). 2–2. 35 indexed citations
14.
Huang, Kaiyu, et al.. (2016). A systematic review and meta-analysis of acupuncture for improving learning and memory ability in animals. BMC Complementary and Alternative Medicine. 16(1). 297–297. 15 indexed citations
15.
16.
Wang, Ning, S. Lu, Hui Chen, et al.. (2015). A protocol of histone modification-based mechanistic study of acupuncture in patients with stable angina pectoris. BMC Complementary and Alternative Medicine. 15(1). 139–139. 13 indexed citations
17.
18.
Shen, Weixing, Sheng-Feng Lu, Hao Hong, et al.. (2014). Acupuncture promotes white adipose tissue browning by inducing UCP1 expression on DIO mice. BMC Complementary and Alternative Medicine. 14(1). 501–501. 39 indexed citations
19.
Huang, Yan, Sheng-Feng Lu, Shu-Ping Fu, et al.. (2014). Electro-Acupuncture at Neiguan Pretreatment Alters Genome-Wide Gene Expressions and Protects Rat Myocardium against Ischemia-Reperfusion. Molecules. 19(10). 16158–16178. 48 indexed citations
20.
Zheng, Guo‐qing, Yan Wang, Yong Gu, et al.. (2011). Meta-Analysis of Scalp Acupuncture for Acute Hypertensive Intracerebral Hemorrhage. The Journal of Alternative and Complementary Medicine. 17(4). 293–299. 29 indexed citations

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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