Lianping Zhao

1.2k total citations
41 papers, 679 citations indexed

About

Lianping Zhao is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Lianping Zhao has authored 41 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Cognitive Neuroscience and 8 papers in Psychiatry and Mental health. Recurrent topics in Lianping Zhao's work include Functional Brain Connectivity Studies (18 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Lianping Zhao is often cited by papers focused on Functional Brain Connectivity Studies (18 papers), Advanced Neuroimaging Techniques and Applications (13 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Lianping Zhao collaborates with scholars based in China, Australia and United States. Lianping Zhao's co-authors include Shuming Zhong, Li Huang, Ying Wang, Yanbin Jia, Guanmao Chen, Zhangzhang Qi, Gang Huang, Shunkai Lai, Yao Sun and Shaojuan Qiu and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Brain Research.

In The Last Decade

Lianping Zhao

39 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lianping Zhao China 15 410 288 277 164 51 41 679
Saroja Bangaru United States 7 615 1.5× 113 0.4× 349 1.3× 154 0.9× 29 0.6× 18 980
Jieke Liu China 14 302 0.7× 145 0.5× 298 1.1× 42 0.3× 76 1.5× 35 580
Letizia Squarcina Italy 16 272 0.7× 153 0.5× 236 0.9× 85 0.5× 44 0.9× 45 717
G. Katherine S. Lymer United Kingdom 12 496 1.2× 354 1.2× 544 2.0× 45 0.3× 31 0.6× 14 981
Rozanna Meijboom United Kingdom 14 141 0.3× 162 0.6× 183 0.7× 82 0.5× 23 0.5× 29 684
Lei Gao China 18 479 1.2× 89 0.3× 264 1.0× 152 0.9× 79 1.5× 74 931
Veronica Marinelli Italy 13 176 0.4× 183 0.6× 75 0.3× 48 0.3× 25 0.5× 26 474

Countries citing papers authored by Lianping Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Lianping Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianping Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Lianping Zhao. A scholar is included among the top collaborators of Lianping Zhao 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 Lianping Zhao. Lianping Zhao 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.
Yang, Chen, Zihan Ma, Jian Tan, et al.. (2024). Structural and functional alterations of the hippocampal subfields in T2DM with mild cognitive impairment and insulin resistance: A prospective study. Journal of Diabetes. 16(11). e70029–e70029. 5 indexed citations
2.
Ma, Zihan, et al.. (2024). Resting-State Brain Function Alteration in Colorectal Cancer Patients. Journal of Integrative Neuroscience. 23(8). 151–151.
3.
Shi, Qian, et al.. (2024). Frequency-Specific Alterations of Fractional Amplitude of Low-Frequency Fluctuations in Adult-Onset Hypothyroidism. Journal of Integrative Neuroscience. 23(6). 111–111. 1 indexed citations
4.
Zhao, Jianxin, et al.. (2024). Prediction of prostate cancer aggressiveness using magnetic resonance imaging radiomics: a dual-center study. Discover Oncology. 15(1). 122–122. 2 indexed citations
5.
Ren, Jialiang, et al.. (2023). Radiogenomics study to predict the nuclear grade of renal clear cell carcinoma. European Journal of Radiology Open. 10. 100476–100476. 6 indexed citations
6.
Huang, Gang, Jialiang Ren, Ruifang Liu, et al.. (2023). Potential predictive value of CT radiomics features for treatment response in patients with COVID‐19. The Clinical Respiratory Journal. 17(5). 394–404. 2 indexed citations
7.
Zhao, Lianping, Shisan Bao, Jing Tian, et al.. (2023). Alterations in Gray Matter Morphology and Functional Connectivity in Adult Patients with Newly Diagnosed Untreated Hypothyroidism. Thyroid. 33(7). 791–803. 6 indexed citations
8.
Tian, Jing, Ruifang Liu, Jian Tan, et al.. (2023). Alterations of Spontaneous Cortical and Subcortical Activity in Type 2 Diabetes Mellitus with and without Depression. Neuroendocrinology. 113(7). 736–755. 4 indexed citations
9.
10.
Jia, Lulu, et al.. (2022). Current status and quality of radiomic studies for predicting KRAS mutations in colorectal cancer patients: A systematic review and meta‑analysis. European Journal of Radiology. 158. 110640–110640. 28 indexed citations
11.
Jia, Lulu, et al.. (2022). Artificial intelligence model on chest imaging to diagnose COVID-19 and other pneumonias: A systematic review and meta-analysis. European Journal of Radiology Open. 9. 100438–100438. 26 indexed citations
12.
13.
Zhao, Lianping, Zhenye Luo, Shaojuan Qiu, et al.. (2020). Abnormalities of aquaporin-4 in the cerebellum in bipolar II disorder: An ultra-high b-values diffusion weighted imaging study. Journal of Affective Disorders. 274. 136–143. 10 indexed citations
14.
Zhao, Lianping, Guanmao Chen, Yanbin Jia, et al.. (2019). Alteration of Red Nucleus Microstructure in Depressive Bipolar II Disorder and Unipolar Depression: A Diffusion Kurtosis and Perfusion Imaging Study. Neuropsychiatry. 9(1). 2 indexed citations
15.
Gong, Jiaying, Guanmao Chen, Yanbin Jia, et al.. (2018). Disrupted functional connectivity within the default mode network and salience network in unmedicated bipolar II disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 88. 11–18. 56 indexed citations
16.
Zhang, Shikui, et al.. (2018). Inhalation lung injury induced by smoke bombs in children: CT manifestations, dynamic evolution features and quantitative analysis. Journal of Thoracic Disease. 10(10). 5860–5869. 2 indexed citations
17.
Wang, Junjing, Ying Wang, Xia Wu, et al.. (2018). Shared and specific functional connectivity alterations in unmedicated bipolar and major depressive disorders based on the triple-network model. Brain Imaging and Behavior. 14(1). 186–199. 52 indexed citations
18.
Chen, Guanmao, Lianping Zhao, Yanbin Jia, et al.. (2018). Abnormal cerebellum-DMN regions connectivity in unmedicated bipolar II disorder. Journal of Affective Disorders. 243. 441–447. 50 indexed citations
19.
Chen, Guanmao, Lianping Zhao, Yanbin Jia, et al.. (2017). Functional connectivity strengths in unmedicated patients with major depressive disorder: a resting-state functional magnetic resonance imaging study. Chin J Psychiatry. 50(5). 377–382. 1 indexed citations
20.
Zhao, Lianping, Ying Wang, Yanbin Jia, et al.. (2017). Altered interhemispheric functional connectivity in remitted bipolar disorder: A Resting State fMRI Study. Scientific Reports. 7(1). 4698–4698. 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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