Liangping Luo

3.6k total citations · 1 hit paper
125 papers, 2.3k citations indexed

About

Liangping Luo is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Liangping Luo has authored 125 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Radiology, Nuclear Medicine and Imaging, 28 papers in Molecular Biology and 26 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Liangping Luo's work include MRI in cancer diagnosis (20 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Nanoplatforms for cancer theranostics (14 papers). Liangping Luo is often cited by papers focused on MRI in cancer diagnosis (20 papers), Radiomics and Machine Learning in Medical Imaging (20 papers) and Nanoplatforms for cancer theranostics (14 papers). Liangping Luo collaborates with scholars based in China, United States and Hong Kong. Liangping Luo's co-authors include Changzheng Shi, Zeyu Xiao, Xi Xu, Jianye Liang, Zhiping Zhang, Yan Ding, Lieguang Zhang, Zhoukun Ling, Lin Lin and Songfeng Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and PLoS ONE.

In The Last Decade

Liangping Luo

119 papers receiving 2.3k citations

Hit Papers

Imaging and clinical features of patients with 2019 novel... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liangping Luo China 23 767 451 433 410 408 125 2.3k
Feng Chen China 28 639 0.8× 440 1.0× 185 0.4× 477 1.2× 209 0.5× 126 2.5k
Dajing Guo China 31 1.4k 1.8× 483 1.1× 994 2.3× 307 0.7× 1.0k 2.5× 102 3.4k
Lan Lan China 22 356 0.5× 259 0.6× 185 0.4× 237 0.6× 853 2.1× 93 2.2k
Olaf Dirsch Germany 37 373 0.5× 653 1.4× 273 0.6× 820 2.0× 81 0.2× 184 4.1k
Jin Wang China 31 683 0.9× 683 1.5× 281 0.6× 372 0.9× 82 0.2× 164 2.7k
Dae‐Hee Kim South Korea 34 556 0.7× 1.3k 2.9× 198 0.5× 396 1.0× 300 0.7× 250 4.8k
Ernest K. J. Pauwels Netherlands 32 1.1k 1.4× 420 0.9× 286 0.7× 567 1.4× 114 0.3× 116 3.4k
Hua Ren China 27 196 0.3× 423 0.9× 172 0.4× 646 1.6× 441 1.1× 137 2.7k
Zeming Liu China 28 119 0.2× 194 0.4× 504 1.2× 704 1.7× 334 0.8× 152 2.5k

Countries citing papers authored by Liangping Luo

Since Specialization
Citations

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

Fields of papers citing papers by Liangping Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangping Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Liangping Luo. A scholar is included among the top collaborators of Liangping Luo 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 Liangping Luo. Liangping Luo 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.
Wu, Jiayang, Xinhui Chen, Xi Xu, et al.. (2025). Deciphering Immunometabolic Landscape in Rheumatoid Arthritis: Integrative Multiomics, Explainable Machine Learning and Experimental Validation. Journal of Inflammation Research. Volume 18. 637–652. 1 indexed citations
2.
Guo, Zhiwei, Ke Wang, Xiang Huang, et al.. (2025). Genome-wide nucleosome footprints of plasma cfDNA predict preterm birth: A case-control study. PLoS Medicine. 22(4). e1004571–e1004571. 1 indexed citations
3.
Nie, Tianqi, Jifeng Chen, Siqi Zhang, et al.. (2025). Injectable pH Responsive Conductive Hydrogel for Intelligent Delivery of Metformin and Exosomes to Enhance Cardiac Repair after Myocardial Ischemia‐Reperfusion Injury. Advanced Science. 12(24). e2410590–e2410590. 13 indexed citations
4.
5.
Zhang, Zhenghua, Yang Tian, Yubin Hu, et al.. (2024). Detection of PD-L1 expression levels in malignant pleural mesothelioma with a targeted MRI nanoprobe in vivo. Frontiers in Chemistry. 12. 1508912–1508912.
6.
Yu, Xiaojun, Xiaoyu Hua, Dong Zhang, et al.. (2024). Pediatric diffuse intrinsic pontine glioma radiotherapy response prediction: MRI morphology and T2 intensity-based quantitative analyses. European Radiology. 34(12). 7962–7972. 3 indexed citations
7.
Shi, Changzheng, et al.. (2024). Clinical and imaging predictors for hemorrhagic transformation of acute ischemic stroke after endovascular thrombectomy. Journal of Neuroimaging. 34(3). 339–347. 9 indexed citations
8.
Chen, Wen‐Ying, Jiahui Zhang, Lili Chen, et al.. (2024). Bioactive metabolites: A clue to the link between MASLD and CKD?. Clinical and Molecular Hepatology. 31(1). 56–73. 3 indexed citations
9.
Luo, Liangping, et al.. (2024). The causal role of circulating inflammatory markers in osteoporosis: a bidirectional Mendelian randomized study. Frontiers in Immunology. 15. 1412298–1412298. 3 indexed citations
10.
Fang, Weimin, et al.. (2023). A Progressively Disassembled DNA Repair Inhibitors Nanosystem for the Treatment of BRCA Wild-Type Triple-Negative Breast Cancer. International Journal of Nanomedicine. Volume 18. 6001–6019. 3 indexed citations
11.
12.
Yang, Yongqing, et al.. (2023). How Nanotherapeutic Platforms Play a Key Role in Glioma? A Comprehensive Review of Literature. International Journal of Nanomedicine. Volume 18. 3663–3694. 12 indexed citations
13.
Fang, Weimin, Duo Wang, Jifeng Chen, et al.. (2023). Nanomaterial-Based Antivascular Therapy in the Multimodal Treatment of Cancer. Pharmaceutics. 15(4). 1207–1207. 6 indexed citations
14.
Xu, Xi, et al.. (2022). Radiologic and Histopathologic Features of a Neck-Localised Follicular Dendritic Cell Sarcoma: A Case Report and Literature Review. Journal of College of Physicians And Surgeons Pakistan. 32(5). 674–676. 1 indexed citations
15.
Wang, Duo, Tianqi Nie, Cuiqing Huang, et al.. (2022). Metal‐Cyclic Dinucleotide Nanomodulator‐Stimulated STING Signaling for Strengthened Radioimmunotherapy of Large Tumor. Small. 18(41). e2203227–e2203227. 51 indexed citations
16.
Yu, Juan, Fanfan Chen, Hanwen Zhang, et al.. (2020). Comparative Analysis of the MRI Characteristics of Meningiomas According to the 2016 WHO Pathological Classification. Technology in Cancer Research & Treatment. 19. 1079250935–1079250935. 9 indexed citations
17.
Liang, Jianye, et al.. (2018). Using IVIM-MRI and R2⁎ Mapping to Differentiate Early Stage Liver Fibrosis in a Rat Model of Radiation-Induced Liver Fibrosis. BioMed Research International. 2018. 1–9. 16 indexed citations
18.
Shi, Changzheng, Dexiang Liu, Zeyu Xiao, et al.. (2017). Monitoring Tumor Response to Antivascular Therapy Using Non-Contrast Intravoxel Incoherent Motion Diffusion-Weighted MRI. Cancer Research. 77(13). 3491–3501. 50 indexed citations
19.
Luo, Liangping, et al.. (2017). Head and Neck Cancer Tumor Segmentation Using Support Vector Machine in Dynamic Contrast-Enhanced MRI. Contrast Media & Molecular Imaging. 2017. 1–5. 23 indexed citations
20.
Luo, Liangping & Haifeng Yu. (2010). Correlation of hepatitis B virus infection with non-Hodgkin's lymphoma. Zhonghua zhongliu fangzhi zazhi. 1 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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