Can Sheng

1.1k total citations
41 papers, 758 citations indexed

About

Can Sheng is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Physiology. According to data from OpenAlex, Can Sheng has authored 41 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 20 papers in Psychiatry and Mental health and 15 papers in Physiology. Recurrent topics in Can Sheng's work include Dementia and Cognitive Impairment Research (19 papers), Functional Brain Connectivity Studies (18 papers) and Alzheimer's disease research and treatments (13 papers). Can Sheng is often cited by papers focused on Dementia and Cognitive Impairment Research (19 papers), Functional Brain Connectivity Studies (18 papers) and Alzheimer's disease research and treatments (13 papers). Can Sheng collaborates with scholars based in China, Germany and United States. Can Sheng's co-authors include Ying Han, Yu Sun, Xiaoni Wang, Yuxia Li, Yong He, Wenying Du, Wenjing Jiang, Yan Lin, Lin Ma and Peiyan Shan and has published in prestigious journals such as PLoS ONE, NeuroImage and Radiology.

In The Last Decade

Can Sheng

39 papers receiving 744 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Can Sheng China 17 330 278 211 182 181 41 758
Priya Rajagopalan United States 17 192 0.6× 283 1.0× 223 1.1× 131 0.7× 186 1.0× 43 880
Catharina Lange Germany 16 198 0.6× 300 1.1× 253 1.2× 101 0.6× 271 1.5× 51 870
Jessica Alber United States 11 248 0.8× 191 0.7× 251 1.2× 155 0.9× 283 1.6× 32 1.0k
Valtteri Julkunen Finland 11 253 0.8× 454 1.6× 390 1.8× 194 1.1× 181 1.0× 16 949
Sean M. Nestor Canada 14 272 0.8× 337 1.2× 232 1.1× 59 0.3× 219 1.2× 48 916
Yuxia Li China 15 304 0.9× 237 0.9× 157 0.7× 91 0.5× 171 0.9× 47 735
Muhammad Naveed Iqbal Qureshi South Korea 12 516 1.6× 353 1.3× 246 1.2× 64 0.4× 202 1.1× 21 942
Samantha L. Allison United States 14 253 0.8× 457 1.6× 301 1.4× 53 0.3× 58 0.3× 23 740
Weina Zhao China 14 184 0.6× 197 0.7× 115 0.5× 77 0.4× 117 0.6× 32 603

Countries citing papers authored by Can Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Can Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Sheng

This figure shows the co-authorship network connecting the top 25 collaborators of Can Sheng. A scholar is included among the top collaborators of Can Sheng 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 Can Sheng. Can Sheng 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.
Qin, Yang, Can Sheng, Xing Zhao, et al.. (2025). Transcranial photobiomodulation improves functional brain networks and working memory in healthy older adults: An fNIRS study. NeuroImage. 316. 121305–121305.
2.
Gong, Yining, Xiaoqing Ma, Xueying Gao, et al.. (2025). New insights into the pharmacological mechanisms of Jinqi Jiangtang Tablets in the treatment of type 2 diabetes mellitus: A multi-omics approach combined with experimental validation. Journal of Ethnopharmacology. 350. 120020–120020. 1 indexed citations
3.
Guan, Peipei, Guoliang Xu, Can Sheng, et al.. (2025). Designing a T cell multi-epitope vaccine against hRSV with reverse vaccinology: An immunoinformatics approach. Colloids and Surfaces B Biointerfaces. 251. 114599–114599. 1 indexed citations
4.
Sheng, Can, Wenying Du, Yuan Liang, et al.. (2023). An integrated neuroimaging-omics approach for the gut-brain communication pathways in Alzheimer’s disease. Frontiers in Aging Neuroscience. 15. 1211979–1211979. 9 indexed citations
5.
Sheng, Can, Xu Chu, Yan He, et al.. (2023). Alterations in Peripheral Metabolites as Key Actors in Alzheimer’s Disease. Current Alzheimer Research. 20(6). 379–393. 2 indexed citations
6.
Jin, Junjun, Fang Dong, Can Sheng, et al.. (2023). Study on the prevention of moisture intrusion of different shielding gas environments for stable perovskite solar cells. Solar Energy. 257. 307–312. 3 indexed citations
7.
Sheng, Can, et al.. (2023). Alterations of gut microbiota are associated with brain structural changes in the spectrum of Alzheimer's disease: the SILCODE study in Hainan cohort. Frontiers in Aging Neuroscience. 15. 1216509–1216509. 13 indexed citations
8.
9.
Li, Bei, Dejun Liu, Qiaoqin Wan, et al.. (2022). Differences in treatment for Alzheimer's disease between urban and rural areas in China. Frontiers in Neurology. 13. 996093–996093. 6 indexed citations
10.
Li, Lanlan, Can Sheng, Xueyan Jiang, et al.. (2022). A review of brain imaging biomarker genomics in Alzheimer’s disease: implementation and perspectives. Translational Neurodegeneration. 11(1). 42–42. 17 indexed citations
11.
Li, Yuxia, Can Sheng, Guanqun Chen, et al.. (2020). Relationship between Urinary Alzheimer-Associated Neuronal Thread Protein and Apolipoprotein Epsilon 4 Allele in the Cognitively Normal Population. Neural Plasticity. 2020. 1–10. 6 indexed citations
12.
Sheng, Can, Kun Yang, Xiaoni Wang, et al.. (2020). Advances in Non-Pharmacological Interventions for Subjective Cognitive Decline: A Systematic Review and Meta-Analysis. Journal of Alzheimer s Disease. 77(2). 903–920. 18 indexed citations
13.
Li, Yuxia, Shaochen Guan, Jin He, et al.. (2020). The relationship between urinary Alzheimer-associated neuronal thread protein and blood biochemical indicators in the general population. Aging. 12(15). 15260–15280. 6 indexed citations
14.
Li, Yang, Jingyu Liu, Ziwen Peng, et al.. (2019). Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification. Neuroinformatics. 18(1). 1–24. 23 indexed citations
15.
Li, Taoran, Xiao‐Ni Wang, Can Sheng, et al.. (2019). Extracellular vesicles as an emerging tool for the early detection of Alzheimer’s disease. Mechanisms of Ageing and Development. 184. 111175–111175. 36 indexed citations
16.
Lin, Yan, Peiyan Shan, Wenjing Jiang, Can Sheng, & Lin Ma. (2018). Subjective cognitive decline: preclinical manifestation of Alzheimer’s disease. Neurological Sciences. 40(1). 41–49. 64 indexed citations
17.
Zhang, Yiwen, Zhilian Zhao, Zhigang Qi, et al.. (2017). Local-to-remote cortical connectivity in amnestic mild cognitive impairment. Neurobiology of Aging. 56. 138–149. 17 indexed citations
18.
Zhao, Tengda, et al.. (2017). Age-related differences in the topological efficiency of the brain structural connectome in amnestic mild cognitive impairment. Neurobiology of Aging. 59. 144–155. 22 indexed citations
19.
Han, Ying, Yongbin Wei, Mingrui Xia, et al.. (2016). Regional homogeneity changes in amnestic mild cognitive impairment patients. Neuroscience Letters. 629. 1–8. 38 indexed citations
20.
Hu, Zhongjie, Can Sheng, Yu Sun, et al.. (2014). Structural and resting-state functional MRI characteristics of patients at high risk for Alzheimer’s disease. Chin J Neurol. 47(12). 824–830. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Priya Rajagopalan Breakdown of academic impact, for papers by Catharina Lange Breakdown of academic impact, for papers by Jessica Alber Breakdown of academic impact, for papers by Valtteri Julkunen Breakdown of academic impact, for papers by Sean M. Nestor Breakdown of academic impact, for papers by Yuxia Li Breakdown of academic impact, for papers by Muhammad Naveed Iqbal Qureshi Breakdown of academic impact, for papers by Samantha L. Allison Breakdown of academic impact, for papers by Weina Zhao
Rankless by CCL
2026