Meiling Bao

1.1k total citations
54 papers, 803 citations indexed

About

Meiling Bao is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Meiling Bao has authored 54 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pulmonary and Respiratory Medicine, 14 papers in Molecular Biology and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Meiling Bao's work include Prostate Cancer Diagnosis and Treatment (22 papers), Prostate Cancer Treatment and Research (16 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Meiling Bao is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (22 papers), Prostate Cancer Treatment and Research (16 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). Meiling Bao collaborates with scholars based in China, United States and United Kingdom. Meiling Bao's co-authors include Yu‐Dong Zhang, Chen‐Jiang Wu, Xiaoning Wang, Jing Wang, Jing Zhang, Hai‐Bin Shi, Ying Hou, Pengfei Shao, Chao Qin and Qiang Cao and has published in prestigious journals such as PLoS ONE, Free Radical Biology and Medicine and British Journal of Cancer.

In The Last Decade

Meiling Bao

48 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meiling Bao China 15 404 359 251 206 80 54 803
Jalen Benson United States 8 225 0.6× 238 0.7× 122 0.5× 89 0.4× 158 2.0× 20 538
Kazuhiro Tabata Japan 14 260 0.6× 120 0.3× 151 0.6× 95 0.5× 151 1.9× 75 697
Gu‐Wei Ji China 14 311 0.8× 539 1.5× 145 0.6× 126 0.6× 236 3.0× 36 940
Desheng Sun China 13 141 0.3× 239 0.7× 101 0.4× 86 0.4× 77 1.0× 36 656
Bum‐Sup Jang South Korea 14 147 0.4× 261 0.7× 133 0.5× 105 0.5× 221 2.8× 67 663
Jianwei Wang China 13 344 0.9× 275 0.8× 162 0.6× 113 0.5× 71 0.9× 46 659
Hongkun Yin China 14 121 0.3× 272 0.8× 146 0.6× 96 0.5× 168 2.1× 42 590
Hongna Tan China 14 103 0.3× 432 1.2× 79 0.3× 146 0.7× 82 1.0× 29 688

Countries citing papers authored by Meiling Bao

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiling Bao

This figure shows the co-authorship network connecting the top 25 collaborators of Meiling Bao. A scholar is included among the top collaborators of Meiling Bao 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 Meiling Bao. Meiling Bao 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.
3.
Shao, Lizhi, Chao Liang, Ye Yan, et al.. (2025). An MRI–pathology foundation model for noninvasive diagnosis and grading of prostate cancer. Nature Cancer. 6(10). 1621–1637.
4.
Huang, Longjian, Lizhi Shao, Meiling Bao, et al.. (2024). Federated learning with comparative learning-based dynamic parameter updating on glioma whole slide images. Engineering Applications of Artificial Intelligence. 137. 109233–109233. 1 indexed citations
5.
Bao, Meiling, et al.. (2024). Imbalanced Sample Learning Method for Transformer Fault Diagnosis Based on GHM Loss and Stacking Frames. IEEE Transactions on Instrumentation and Measurement. 73. 1–13. 3 indexed citations
6.
Bao, Meiling, et al.. (2024). The role of cyclin-dependent kinase inhibitor 3 in the proliferation and migration of renal cell carcinoma. Chemico-Biological Interactions. 397. 111092–111092. 1 indexed citations
7.
Wang, Yuhao, et al.. (2023). Trigred motif 36 regulates neuroendocrine differentiation of prostate cancer via HK2 ubiquitination and GPx4 deficiency. Cancer Science. 114(6). 2445–2459. 26 indexed citations
8.
Wu, Qikai, Xiao Yang, Kai Li, et al.. (2023). Renal Lipoma-Like Angiomyolipoma of Tumour Thrombus Extending to the Confluence of Inferior Vena Cava with Right Atrium: A Rare Case Report and Literature Review. Urologia Internationalis. 107(7). 742–746. 3 indexed citations
9.
Hou, Ying, Lili Wang, Rui Zhi, et al.. (2023). Biopsy-free AI-aided precision MRI assessment in prediction of prostate cancer biochemical recurrence. British Journal of Cancer. 129(10). 1625–1633. 10 indexed citations
10.
Song, Yang, Ying Hou, Rui Zhi, et al.. (2022). Performance of Artificial Intelligence‐Aided Diagnosis System for Clinically Significant Prostate Cancer with MRI: A Diagnostic Comparison Study. Journal of Magnetic Resonance Imaging. 57(5). 1352–1364. 14 indexed citations
11.
Liang, Chao, Lei Ding, Meiling Bao, et al.. (2022). A comprehensive prostate biopsy standardization system according to quantitative multiparametric MRI and PSA value: P.R.O.S.T score. World Journal of Urology. 40(9). 2245–2253. 1 indexed citations
12.
Wu, Qikai, Baorui Yuan, Qiang Cao, et al.. (2022). The application value of multi-parameter cystoscope in improving the accuracy of preoperative bladder cancer grading. BMC Urology. 22(1). 111–111. 2 indexed citations
13.
Hou, Ying, Yihong Zhang, Jie Bao, et al.. (2021). Artificial intelligence is a promising prospect for the detection of prostate cancer extracapsular extension with mpMRI: a two-center comparative study. European Journal of Nuclear Medicine and Molecular Imaging. 48(12). 3805–3816. 30 indexed citations
14.
Zhu, Boqian, Yanjuan Wang, Meiling Bao, et al.. (2021). Protective effect of rosuvastatin against the formation of benign esophageal stricture. Esophagus. 19(2). 343–350. 3 indexed citations
15.
Miao, Chenkui, Shouyong Liu, Jing Zhang, et al.. (2021). Clusterin suppresses invasion and metastasis of testicular seminoma by upregulating COL15a1. Molecular Therapy — Nucleic Acids. 26. 1336–1350. 10 indexed citations
16.
Hou, Ying, Meiling Bao, Chen‐Jiang Wu, et al.. (2020). A radiomics machine learning-based redefining score robustly identifies clinically significant prostate cancer in equivocal PI-RADS score 3 lesions. Abdominal Radiology. 45(12). 4223–4234. 34 indexed citations
17.
Qian, Jian, Jie Jiang, Pu Li, et al.. (2019). Factors Influencing the Feasibility of Segmental Artery Clamping During Retroperitoneal Laparoscopic Partial Nephrectomy. Urology. 129. 92–97. 14 indexed citations
18.
Yu, Yajie, Chao Liang, Meiling Bao, Pengfei Shao, & Zengjun Wang. (2017). Retroperitoneal laparoscopic partial nephrectomy with segmental renal artery clamping for cancer of the left upper calyx: a case report. BMC Urology. 17(1). 73–73. 1 indexed citations
19.
Liu, Yiyang, Jian Qian, Meiling Bao, et al.. (2015). miR-134 Functions as a Tumor Suppressor in Cell Proliferation and Epithelial-to-Mesenchymal Transition by Targeting KRAS in Renal Cell Carcinoma Cells. DNA and Cell Biology. 34(6). 429–436. 58 indexed citations
20.
Qin, Chao, Zhijian Han, Jian Qian, et al.. (2014). Expression Pattern of Long Non-Coding RNAs in Renal Cell Carcinoma Revealed by Microarray. PLoS ONE. 9(6). e99372–e99372. 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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