Shuo Gao

500 total citations
28 papers, 368 citations indexed

About

Shuo Gao is a scholar working on Neurology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shuo Gao has authored 28 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 7 papers in Physiology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shuo Gao's work include Alzheimer's disease research and treatments (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and Glioma Diagnosis and Treatment (4 papers). Shuo Gao is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Parkinson's Disease Mechanisms and Treatments (6 papers) and Glioma Diagnosis and Treatment (4 papers). Shuo Gao collaborates with scholars based in China, Australia and United States. Shuo Gao's co-authors include Benshu Zhang, Ping Zhao, Renju Bai, Li Cai, Yajun Li, Yuying Zhou, Zhihong Shi, Yong Ji, Shuai Liu and Shilin Liu and has published in prestigious journals such as PLoS ONE, Medicine and Journal of Nuclear Medicine.

In The Last Decade

Shuo Gao

27 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuo Gao China 13 135 103 69 56 56 28 368
Kayıhan Uluç Türkiye 12 155 1.1× 79 0.8× 53 0.8× 44 0.8× 57 1.0× 49 406
Edyta Dziadkowiak Poland 10 133 1.0× 43 0.4× 54 0.8× 14 0.3× 66 1.2× 46 354
Daniëlle Hernalsteen Belgium 8 53 0.4× 109 1.1× 87 1.3× 41 0.7× 27 0.5× 16 276
D Melançon Canada 10 158 1.2× 65 0.6× 37 0.5× 62 1.1× 38 0.7× 32 371
J. M. MacKenzie United Kingdom 10 174 1.3× 89 0.9× 17 0.2× 74 1.3× 22 0.4× 24 396
Lianghong Yu China 14 308 2.3× 45 0.4× 29 0.4× 67 1.2× 32 0.6× 46 503
Zhemin Huang China 10 142 1.1× 77 0.7× 32 0.5× 35 0.6× 93 1.7× 20 344
Christopher Kneebone Australia 8 227 1.7× 44 0.4× 28 0.4× 26 0.5× 16 0.3× 12 420
Hidehiro Ishikawa Japan 11 178 1.3× 45 0.4× 30 0.4× 21 0.4× 29 0.5× 46 326
C Leno Spain 12 186 1.4× 81 0.8× 135 2.0× 29 0.5× 16 0.3× 25 499

Countries citing papers authored by Shuo Gao

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuo Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Shuo Gao. A scholar is included among the top collaborators of Shuo Gao 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 Shuo Gao. Shuo Gao 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.
Gao, Shuo, et al.. (2025). Primary leiomyosarcoma of the scalp: a case report and review of the literature. Frontiers in Oncology. 15. 1533114–1533114.
2.
Ma, Jing, et al.. (2024). The role of GRB2 in diabetes, diabetes complications and related disorders. Diabetes Obesity and Metabolism. 27(1). 23–34. 4 indexed citations
3.
Liu, Ling, et al.. (2021). Comparison of 18F‐FDG PET/CT and 68Ga‐DOTATATE PET/CT in the Targeted Imaging of Culprit Tumors Causing Osteomalacia. Orthopaedic Surgery. 13(3). 791–798. 2 indexed citations
4.
Shi, Zhihong, Liping Fu, Nan Zhang, et al.. (2020). Amyloid PET in Dementia Syndromes: A Chinese Multicenter Study. Journal of Nuclear Medicine. 61(12). 1814–1819. 21 indexed citations
5.
Zhao, Ping, Benshu Zhang, Shuo Gao, & Xin Li. (2020). Clinical features, MRI, and 18F‐FDG‐PET in differential diagnosis of Parkinson disease from multiple system atrophy. Brain and Behavior. 10(11). e01827–e01827. 25 indexed citations
6.
Wang, Ying, Zhihong Shi, Nan Zhang, et al.. (2018). Spatial Patterns of Hypometabolism and Amyloid Deposition in Variants of Alzheimer’s Disease Corresponding to Brain Networks: a Prospective Cohort Study. Molecular Imaging and Biology. 21(1). 140–148. 16 indexed citations
7.
Shi, Zhihong, Shuai Liu, Ying Wang, et al.. (2017). Correlations between clinical characteristics and neuroimaging in Chinese patients with subtypes of frontotemporal lobe degeneration. Medicine. 96(37). e7948–e7948. 4 indexed citations
8.
Liu, Shuai, Xiaodan Wang, Ying Wang, et al.. (2017). Clinical and neuroimaging characteristics of Chinese dementia with Lewy bodies. PLoS ONE. 12(3). e0171802–e0171802. 17 indexed citations
9.
Shi, Zhihong, Shuai Liu, Ying Wang, et al.. (2016). Frontotemporal dementia-related gene mutations in clinical dementia patients from a Chinese population. Journal of Human Genetics. 61(12). 1003–1008. 28 indexed citations
10.
Shi, Zhihong, Ying Wang, Shuai Liu, et al.. (2014). Clinical and Neuroimaging Characterization of Chinese Dementia Patients with <b><i>PSEN1</i></b> and <b><i>PSEN2</i></b> Mutations. Dementia and Geriatric Cognitive Disorders. 39(1-2). 32–40. 31 indexed citations
11.
Sun, Jikui, Li Cai, Kai Zhang, et al.. (2013). A Pilot Study on EGFR-Targeted Molecular Imaging of PET/CT With 11C-PD153035 in Human Gliomas. Clinical Nuclear Medicine. 39(1). e20–e26. 17 indexed citations
12.
Zhao, Ping, Benshu Zhang, & Shuo Gao. (2011). 18[F]-FDG PET study on the Idiopathic Parkinson's disease from several parkinsonian-plus syndromes. Parkinsonism & Related Disorders. 18. S60–S62. 57 indexed citations
13.
Wang, Hu, Yubao Zou, Jizheng Wang, et al.. (2009). The genotype-phenotype correlation of the MYH7 gene c.1273G > A mutation in familial hypertrophic cardiomyopathy. Hereditas (Beijing). 31(5). 485–488. 3 indexed citations
14.
Wang, Hu, Wen Li, Weili Zhang, et al.. (2009). Novel promoter and exon mutations of the BMPR2 gene in Chinese patients with pulmonary arterial hypertension. European Journal of Human Genetics. 17(8). 1063–1069. 16 indexed citations
15.
Cai, Li, et al.. (2009). [Value of 18F-FDG and 11C-MET PET-CT in differentiation of brain ringlike-enhanced neoplastic and non-neoplastic lesions on MRI imaging].. PubMed. 31(2). 134–8. 4 indexed citations
16.
Gao, Shuo. (2008). The relationship between angiotensin I-converting enzyme gene insertion/deletion polymorphism and type 2 diabetics nephropathy. 3 indexed citations
17.
Li, Yajun, Li Cai, Haoran Sun, Shuo Gao, & Renju Bai. (2008). Increased FDG Uptake in Bilateral Adrenal Tuberculosis Appearing Like Malignancy. Clinical Nuclear Medicine. 33(3). 191–192. 29 indexed citations
18.
Li, Yajun, Yue Zhang, Shuo Gao, & Renju Bai. (2008). Systemic Disseminated Tuberculosis Mimicking Malignancy on F-18 FDG PET-CT. Clinical Nuclear Medicine. 33(1). 49–51. 22 indexed citations
19.
Gao, Shuo. (2006). PET in the evaluation of bone metastases. 1 indexed citations
20.
Li, Yajun, et al.. (2006). Primary Bilateral Adrenal Lymphoma. Journal of Computer Assisted Tomography. 30(5). 791–793. 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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