Shaohui Ma

567 total citations
27 papers, 412 citations indexed

About

Shaohui Ma is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Shaohui Ma has authored 27 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 9 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Psychiatry and Mental health. Recurrent topics in Shaohui Ma's work include Functional Brain Connectivity Studies (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Advanced MRI Techniques and Applications (4 papers). Shaohui Ma is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Advanced Neuroimaging Techniques and Applications (7 papers) and Advanced MRI Techniques and Applications (4 papers). Shaohui Ma collaborates with scholars based in China, Taiwan and United States. Shaohui Ma's co-authors include Ming Zhang, Yuan Wang, Jixin Liu, Chenwang Jin, Xueying Ma, Ce Chen, Netra Rana, Chengge Gao, Wanghuan Dun and Peng Li and has published in prestigious journals such as NeuroImage, Journal of Cerebral Blood Flow & Metabolism and Human Brain Mapping.

In The Last Decade

Shaohui Ma

25 papers receiving 408 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shaohui Ma China 12 212 138 73 66 61 27 412
Knut K. Kolskår Norway 14 273 1.3× 144 1.0× 109 1.5× 43 0.7× 39 0.6× 22 503
Na Young Kim South Korea 11 220 1.0× 89 0.6× 98 1.3× 73 1.1× 48 0.8× 38 525
Kristine M. Ulrichsen Norway 12 178 0.8× 100 0.7× 86 1.2× 20 0.3× 25 0.4× 14 364
Chantel D. Mayo Canada 8 179 0.8× 260 1.9× 88 1.2× 46 0.7× 16 0.3× 13 483
J.‐M. Lee South Korea 10 121 0.6× 159 1.2× 70 1.0× 114 1.7× 31 0.5× 14 457
Jingyi Long China 8 137 0.6× 53 0.4× 67 0.9× 13 0.2× 36 0.6× 11 312
Anne‐Marthe Sanders Norway 12 186 0.9× 95 0.7× 101 1.4× 10 0.2× 21 0.3× 16 424
Greta Demichelis Italy 11 90 0.4× 58 0.4× 83 1.1× 40 0.6× 26 0.4× 22 254
Yao-Liang Chen Taiwan 11 130 0.6× 62 0.4× 72 1.0× 17 0.3× 34 0.6× 13 289
Chuanzhu Sun China 14 118 0.6× 104 0.8× 75 1.0× 31 0.5× 14 0.2× 22 389

Countries citing papers authored by Shaohui Ma

Since Specialization
Citations

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

Fields of papers citing papers by Shaohui Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaohui Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Shaohui Ma. A scholar is included among the top collaborators of Shaohui Ma 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 Shaohui Ma. Shaohui Ma 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
2.
Niu, Xuan, Haiyang Liu, Baoqi Wang, et al.. (2025). The association among individual gray matter volume of frontal-limbic circuitry, fatigue susceptibility, and comorbid neuropsychiatric symptoms following COVID-19. NeuroImage. 306. 121011–121011. 2 indexed citations
5.
Li, Haining, Junya Mu, Wen Gu, et al.. (2022). Reduced cortical complexity in patients with end-stage kidney disease prior to dialysis initiation. Frontiers in Neuroscience. 16. 971010–971010. 2 indexed citations
6.
Gu, Wen, Hang Su, Lei Zhang, et al.. (2021). Changes in the Shape and Volume of Subcortical Structures in Patients With End-Stage Renal Disease. Frontiers in Human Neuroscience. 15. 778807–778807. 8 indexed citations
7.
Ma, Liang, Shaohui Ma, Peng Li, et al.. (2021). Neurological effects of hemodialysis on white matter microstructure in end-stage renal disease. NeuroImage Clinical. 31. 102743–102743. 8 indexed citations
8.
Ma, Shaohui, Ming Zhang, Yang Liu, et al.. (2020). Abnormal rich club organization in end-stage renal disease patients before dialysis initiation and undergoing maintenance hemodialysis. BMC Nephrology. 21(1). 515–515. 3 indexed citations
9.
Luo, Feifei, Jianbao Wang, Li‐Xia Yuan, et al.. (2020). Higher Sensitivity and Reproducibility of Wavelet-Based Amplitude of Resting-State fMRI. Frontiers in Neuroscience. 14. 224–224. 27 indexed citations
10.
He, Juan, Wanghuan Dun, Fang Han, et al.. (2020). Abnormal white matter microstructure along the thalamus fiber pathways in women with primary dysmenorrhea. Brain Imaging and Behavior. 15(4). 2061–2068. 7 indexed citations
11.
Du, Heng, et al.. (2019). Inhibition of both endplate nutritional pathways results in intervertebral disc degeneration in a goat model. Journal of Orthopaedic Surgery and Research. 14(1). 138–138. 23 indexed citations
12.
Ma, Xueying, Yan Zhang, Shaohui Ma, et al.. (2018). Association between abnormal thalamic metabolites and sleep disturbance in patients with end-stage renal disease. Metabolic Brain Disease. 33(5). 1641–1648. 9 indexed citations
13.
Mu, Junya, Xiaohui Liu, Shaohui Ma, et al.. (2018). The variation of motor-related brain structure and its relation to abnormal motor behaviors in end-stage renal disease patients with restless legs syndrome. Brain Imaging and Behavior. 14(1). 42–50. 11 indexed citations
14.
Li, Peng, Xueying Ma, Wanghuan Dun, et al.. (2017). The relationship between putamen-SMA functional connectivity and sensorimotor abnormality in ESRD patients. Brain Imaging and Behavior. 12(5). 1346–1354. 14 indexed citations
15.
Dun, Wanghuan, Jing Yang, Ling Yang, et al.. (2016). Abnormal structure and functional connectivity of the anterior insula at pain-free periovulation is associated with perceived pain during menstruation. Brain Imaging and Behavior. 11(6). 1787–1795. 30 indexed citations
16.
Dun, Wanghuan, Ling Yang, Shaohui Ma, et al.. (2016). Abnormal white matter integrity during pain-free periovulation is associated with pain intensity in primary dysmenorrhea. Brain Imaging and Behavior. 11(4). 1061–1070. 16 indexed citations
17.
Wang, Yuan, et al.. (2014). Thalamic metabolic alterations with cognitive dysfunction in idiopathic trigeminal neuralgia: a multivoxel spectroscopy study. Neuroradiology. 56(8). 685–693. 17 indexed citations
18.
Jin, Chenwang, Chengge Gao, Ce Chen, et al.. (2011). A preliminary study of the dysregulation of the resting networks in first-episode medication-naive adolescent depression. Neuroscience Letters. 503(2). 105–109. 97 indexed citations
19.
Du, Heng, Shaohui Ma, Min Guan, et al.. (2011). Dynamic contrast enhanced‐magnetic resonance imaging study of the nutrition pathway for lumbar intervertebral disk cartilage of normal goats. Orthopaedic Surgery. 3(2). 106–112. 4 indexed citations
20.
Jiang, Li, et al.. (2007). The repairing effect of a recombinant human connective‐tissue growth factor in a burn‐wounded rhesus‐monkey (Macaca mulatta) model. Biotechnology and Applied Biochemistry. 47(2). 105–112. 15 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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