Bao Yang

735 total citations
43 papers, 543 citations indexed

About

Bao Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Molecular Biology. According to data from OpenAlex, Bao Yang has authored 43 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Bao Yang's work include Medical Imaging Techniques and Applications (14 papers), Advanced MRI Techniques and Applications (11 papers) and Glioma Diagnosis and Treatment (7 papers). Bao Yang is often cited by papers focused on Medical Imaging Techniques and Applications (14 papers), Advanced MRI Techniques and Applications (11 papers) and Glioma Diagnosis and Treatment (7 papers). Bao Yang collaborates with scholars based in China, United States and Hong Kong. Bao Yang's co-authors include Min Huang, Qibing Zhu, Jing Tang, Leslie Ying, Chenlong Yang, Yulun Xu, Jingyi Fang, Yanan Ma, Arman Rahmim and Shaowu Li and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Cancer Letters and Physics in Medicine and Biology.

In The Last Decade

Bao Yang

41 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bao Yang China 15 115 105 87 83 79 43 543
Michael Murek Switzerland 20 25 0.2× 128 1.2× 43 0.5× 394 4.7× 453 5.7× 47 1.2k
Yifan Cheng China 14 16 0.1× 38 0.4× 50 0.6× 5 0.1× 49 0.6× 49 622
Carole Frindel France 14 6 0.1× 200 1.9× 26 0.3× 19 0.2× 42 0.5× 49 472
Xue Yang China 19 4 0.0× 102 1.0× 53 0.6× 29 0.3× 19 0.2× 62 981
Doaa Mahmoud‐Ghoneim United Arab Emirates 10 4 0.0× 124 1.2× 28 0.3× 29 0.3× 16 0.2× 14 456
Hua Fan China 14 5 0.0× 76 0.7× 47 0.5× 10 0.1× 16 0.2× 34 727
Takayuki Sakai Japan 13 10 0.1× 34 0.3× 7 0.1× 17 0.2× 15 0.2× 64 454
Yuanyuan Qu China 14 3 0.0× 54 0.5× 23 0.3× 64 0.8× 25 0.3× 51 639
Xiaoqin Wang China 13 11 0.1× 320 3.0× 42 0.5× 3 0.0× 21 0.3× 78 735
Jinghong Xu China 10 4 0.0× 17 0.2× 21 0.2× 16 0.2× 22 0.3× 36 349

Countries citing papers authored by Bao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Bao Yang. A scholar is included among the top collaborators of Bao Yang 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 Bao Yang. Bao Yang 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.
Liu, Yantao, Yu Peng, Zongran Liu, et al.. (2025). Tumor-associated macrophage-derived exosomes modulate the immunotherapeutic sensitivity of SHH-medulloblastoma by targeting m6A-modified FOXD1. Neuro-Oncology. 27(11). 3000–3015. 1 indexed citations
2.
3.
Li, Hong, et al.. (2024). Efficacy and safety of GLP-1RAs for people with obesity: A systematic review based on RCT and Bayesian network meta-analysis. Biomedicine & Pharmacotherapy. 171. 116150–116150. 19 indexed citations
4.
Yang, Bao, Mika Naganawa, Kathryn Fontaine, et al.. (2023). Dose reduction in dynamic synaptic vesicle glycoprotein 2A PET imaging using artificial neural networks. Physics in Medicine and Biology. 68(24). 245006–245006. 1 indexed citations
5.
Liu, Yantao, Luzheng Xu, Ziwen Sun, et al.. (2023). Tumor‐associated astrocytes promote tumor progression of Sonic Hedgehog medulloblastoma by secreting lipocalin‐2. Brain Pathology. 34(1). e13212–e13212. 9 indexed citations
6.
Yang, Ying, Luzheng Xu, Yantao Liu, et al.. (2022). Exosomal microRNAs induce tumor-associated macrophages via PPARγ during tumor progression in SHH medulloblastoma. Cancer Letters. 535. 215630–215630. 26 indexed citations
7.
Yang, Bao, et al.. (2022). Cycle-consistent learning-based hybrid iterative reconstruction for whole-body PET imaging. Physics in Medicine and Biology. 67(8). 85016–85016. 6 indexed citations
8.
Yang, Bao, et al.. (2021). Dictionary Learning Constrained Direct Parametric Estimation in Dynamic Myocardial Perfusion PET. IEEE Transactions on Medical Imaging. 40(12). 3485–3497. 4 indexed citations
9.
Yang, Bao, Tao Jiang, Jiang Du, et al.. (2021). Intracranial Choroid Plexus Carcinomas: Report of 11 Cases from a Single Institution. World Neurosurgery. 152. e45–e50. 1 indexed citations
10.
Yuan, Jing, Jianxun Qu, Chunxue Wu, et al.. (2021). Assessment of blood supply of the external carotid artery in moyamoya disease using super-selective pseudo-continuous arterial spin labeling technique. European Radiology. 31(12). 9287–9295. 3 indexed citations
11.
Wang, Ying, Jingchuan Wu, Wei Li, et al.. (2020). Retrospective investigation of hereditary syndromes in patients with medulloblastoma in a single institution. Child s Nervous System. 37(2). 411–417. 4 indexed citations
12.
Tang, Jing, Bao Yang, Ivan S. Klyuzhin, et al.. (2019). Artificial Neural Network–Based Prediction of Outcome in Parkinson’s Disease Patients Using DaTscan SPECT Imaging Features. Molecular Imaging and Biology. 21(6). 1165–1173. 40 indexed citations
13.
Yang, Bao, et al.. (2019). Chordoid glioma: an entity occurring not exclusively in the third ventricle. Neurosurgical Review. 43(5). 1315–1322. 9 indexed citations
14.
Yang, Bao, Chenlong Yang, Jiang Du, et al.. (2018). Mixed gangliocytoma-pituitary adenoma in the sellar region: a large-scale single-center experience. Acta Neurochirurgica. 160(10). 1989–1999. 19 indexed citations
15.
Yang, Bao, Leslie Ying, & Jing Tang. (2018). Artificial Neural Network Enhanced Bayesian PET Image Reconstruction. IEEE Transactions on Medical Imaging. 37(6). 1297–1309. 39 indexed citations
16.
Wang, Xinhui, et al.. (2018). Improved myocardial perfusion PET imaging with MRI assisted reconstruction incorporating multi-resolution joint entropy. Physics in Medicine and Biology. 63(17). 175017–175017. 2 indexed citations
17.
Yang, Bao, Chenlong Yang, Jingyi Fang, et al.. (2016). Clinicoradiologic Features and Surgical Outcomes of Sellar Xanthogranulomas: A Single-Center 10-Year Experience. World Neurosurgery. 99. 439–447. 18 indexed citations
18.
Yang, Bao, et al.. (2016). Correlation between chromosome 1p/19q status and VEGF mRNA expression in gliomas. Genetics and Molecular Research. 15(1). 2 indexed citations
19.
Yang, Chenlong, Guang Li, Jingyi Fang, et al.. (2016). Spinal Intramedullary Syphilitic Gumma: An Unusual Presentation of Neurosyphilis. World Neurosurgery. 95. 622.e17–622.e23. 13 indexed citations
20.
Tang, Jing, et al.. (2016). Sparsity-constrained PET image reconstruction with learned dictionaries. Physics in Medicine and Biology. 61(17). 6347–6368. 26 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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