Sha Sha

754 total citations
46 papers, 544 citations indexed

About

Sha Sha is a scholar working on Physiology, Pharmacology and Molecular Biology. According to data from OpenAlex, Sha Sha has authored 46 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Physiology, 11 papers in Pharmacology and 8 papers in Molecular Biology. Recurrent topics in Sha Sha's work include Alzheimer's disease research and treatments (16 papers), Computational Drug Discovery Methods (5 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Sha Sha is often cited by papers focused on Alzheimer's disease research and treatments (16 papers), Computational Drug Discovery Methods (5 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). Sha Sha collaborates with scholars based in China, Germany and Macao. Sha Sha's co-authors include Yunpeng Cao, Guoxi Li, Lin Chen, Yuebin Xu, Tingting Chen, Libin Zhou, Qin He, Ling Chen, Hermann Brenner and Ben Schöttker and has published in prestigious journals such as Nature Communications, American Journal of Clinical Nutrition and Frontiers in Immunology.

In The Last Decade

Sha Sha

44 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sha Sha China 14 160 98 91 78 60 46 544
John Culberson United States 14 233 1.5× 90 0.9× 209 2.3× 90 1.2× 64 1.1× 28 836
Fatemeh Moradi Iran 13 86 0.5× 90 0.9× 78 0.9× 65 0.8× 96 1.6× 30 552
Aida Cuenca‐Royo Spain 14 94 0.6× 122 1.2× 112 1.2× 37 0.5× 92 1.5× 29 671
Ágnes Fehér Hungary 16 182 1.1× 67 0.7× 196 2.2× 55 0.7× 105 1.8× 52 658
Luciane Bisognin Ceretta Brazil 11 82 0.5× 54 0.6× 68 0.7× 80 1.0× 49 0.8× 44 495
Iraj Aghaei Iran 16 49 0.3× 67 0.7× 86 0.9× 53 0.7× 135 2.3× 38 574
W. James Deardorff United States 11 166 1.0× 194 2.0× 164 1.8× 91 1.2× 63 1.1× 31 670
Haziq Kamal Malaysia 6 97 0.6× 70 0.7× 117 1.3× 50 0.6× 44 0.7× 9 464
Patricio Fuentes Chile 16 182 1.1× 63 0.6× 168 1.8× 103 1.3× 76 1.3× 34 658
Simon Vann Jones United Kingdom 6 198 1.2× 68 0.7× 61 0.7× 91 1.2× 56 0.9× 9 611

Countries citing papers authored by Sha Sha

Since Specialization
Citations

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

Fields of papers citing papers by Sha Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sha Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Sha Sha. A scholar is included among the top collaborators of Sha Sha 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 Sha Sha. Sha Sha 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.
Xie, Ruijie, Sha Sha, Lei Peng, et al.. (2025). Metabolomics data improve 10-year cardiovascular risk prediction with the SCORE2 algorithm for the general population without cardiovascular disease or diabetes. European Journal of Preventive Cardiology. 1 indexed citations
2.
Chen, Li‐Ju, Sha Sha, Hannah Stocker, Hermann Brenner, & Ben Schöttker. (2024). The associations of serum vitamin D status and vitamin D supplements use with all-cause dementia, Alzheimer’s disease, and vascular dementia: a UK Biobank based prospective cohort study. American Journal of Clinical Nutrition. 119(4). 1052–1064. 16 indexed citations
3.
He, Gui-Ping, Sha Sha, Xi Zhang, et al.. (2024). Circulating microRNA-409-5p and USP7 are associated with left ventricular remodeling in patients with acute myocardial infarction. BMC Cardiovascular Disorders. 24(1). 615–615. 1 indexed citations
4.
Tang, Qiang, et al.. (2023). Exercise for myocardial ischemia-reperfusion injury: A systematic review and meta-analysis based on preclinical studies. Microvascular Research. 147. 104502–104502. 2 indexed citations
5.
Sha, Sha, Thomas Chaigneau, & Slavica Krantic. (2023). Pre-symptomatic synaptic dysfunction and longitudinal decay of hippocampal synaptic function in APPPS1 mouse model of Alzheimer’s disease is sex-independent. Brain Research Bulletin. 198. 36–49. 7 indexed citations
6.
Sha, Sha, Li‐Ju Chen, Hermann Brenner, & Ben Schöttker. (2023). Associations of 25-hydroxyvitamin D status and vitamin D supplementation use with mortality due to 18 frequent cancer types in the UK Biobank cohort. European Journal of Cancer. 191. 113241–113241. 9 indexed citations
7.
8.
Liang, Sixiang, Dan Li, Xinyu Liu, et al.. (2023). Development and validation of a prediction nomogram for non-suicidal self-injury in female patients with mood disorder. Frontiers in Psychiatry. 14. 1130335–1130335. 2 indexed citations
9.
Han, Chuanliang, Xing Peng, Gan Liu, et al.. (2022). Correlation Between Resting Theta Power and Cognitive Performance in Patients With Schizophrenia. Frontiers in Human Neuroscience. 16. 853994–853994. 34 indexed citations
10.
Sha, Sha, et al.. (2022). DNA vaccines targeting amyloid-β oligomer ameliorate cognitive deficits of aged APP/PS1/tau triple-transgenic mouse models of Alzheimer’s disease. Neural Regeneration Research. 17(10). 2305–2305. 8 indexed citations
11.
Liang, Sixiang, Jinhe Zhang, Qian Zhao, et al.. (2021). Incidence Trends and Risk Prediction Nomogram for Suicidal Attempts in Patients With Major Depressive Disorder. Frontiers in Psychiatry. 12. 644038–644038. 11 indexed citations
12.
Zhao, Ruxing, Qin He, Sha Sha, et al.. (2020). Increased AHR Transcripts Correlate With Pro-inflammatory T-Helper Lymphocytes Polarization in Both Metabolically Healthy Obesity and Type 2 Diabetic Patients. Frontiers in Immunology. 11. 1644–1644. 19 indexed citations
13.
Liu, Fang, Sha Sha, Yi Su, et al.. (2020). Treatment of CML-transformed B Cell Acute Lymphoblastic Leukemia (B-ALL) in Adults with Anti-CD19 Chimeric Antigen Receptor T Cell (CAR T) Therapy. Stem Cell Reviews and Reports. 16(6). 1356–1358. 1 indexed citations
14.
Sha, Sha, Xiaoming Liu, Ruxing Zhao, et al.. (2019). Effects of glucagon-like peptide-1 analog liraglutide on the systemic inflammation in high-fat-diet-induced mice. Endocrine. 66(3). 494–502. 13 indexed citations
15.
Liu, Huilan, et al.. (2018). Risk factors for radiation esophagitis and pneumonitis in esophageal cancer patients with diabetes or hypertension. Zhonghua fangshe yixue yu fanghu zazhi. 38(8). 584–589. 1 indexed citations
16.
Shi, Chuan, Gang Wang, Feng Tian, et al.. (2017). Reliability and validity of Chinese version of perceived deficits questionnaire for depression in patients with MDD. Psychiatry Research. 252. 319–324. 40 indexed citations
17.
Zhang, Qinge, Zhimin Wang, Sha Sha, et al.. (2016). Common Use of Electroconvulsive Therapy for Chinese Adolescent Psychiatric Patients. Journal of Ect. 32(4). 251–255. 15 indexed citations
18.
19.
Cao, Yunpeng, et al.. (2014). Nasal mucosal inhalation of amyloid-beta peptide 3-10 defective adenovirus attenuates cytotoxicity induced by beta-amyloid (1-42). Neural Regeneration Research. 9(8). 872–872. 1 indexed citations
20.

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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