Ziping Liu

1.3k total citations
58 papers, 869 citations indexed

About

Ziping Liu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications. According to data from OpenAlex, Ziping Liu has authored 58 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Computer Networks and Communications. Recurrent topics in Ziping Liu's work include Medical Imaging Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Ubiquitin and proteasome pathways (4 papers). Ziping Liu is often cited by papers focused on Medical Imaging Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Ubiquitin and proteasome pathways (4 papers). Ziping Liu collaborates with scholars based in China, United States and Canada. Ziping Liu's co-authors include Song Zhang, Xingguang Su, Wen Wu, Xingguang Su, Zihan Lin, Beiwen Li, Jian‐Ming Yang, Shanshan Zhang, Hao Zhang and Abhinav K. Jha and has published in prestigious journals such as Oncogene, Scientific Reports and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Ziping Liu

57 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ziping Liu China 18 207 123 122 112 110 58 869
Billy Chen United States 12 227 1.1× 266 2.2× 137 1.1× 47 0.4× 33 0.3× 16 1.1k
Hyun-Seok Kim South Korea 18 248 1.2× 37 0.3× 75 0.6× 178 1.6× 22 0.2× 62 1.2k
Yitong Huang China 13 157 0.8× 177 1.4× 29 0.2× 118 1.1× 41 0.4× 45 949
Huiquan Wang China 19 267 1.3× 228 1.9× 82 0.7× 226 2.0× 100 0.9× 150 1.6k
Cheng Peng China 20 243 1.2× 117 1.0× 80 0.7× 65 0.6× 52 0.5× 68 1.0k
Thomas Li United States 21 331 1.6× 60 0.5× 39 0.3× 17 0.2× 142 1.3× 52 1.3k
Yoon‐Chul Kim South Korea 20 90 0.4× 387 3.1× 122 1.0× 47 0.4× 45 0.4× 71 1.3k
E Du China 15 131 0.6× 45 0.4× 37 0.3× 45 0.4× 54 0.5× 49 976
Jiong Liu China 21 238 1.1× 39 0.3× 36 0.3× 106 0.9× 79 0.7× 100 1.4k

Countries citing papers authored by Ziping Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ziping Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziping Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ziping Liu. A scholar is included among the top collaborators of Ziping Liu 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 Ziping Liu. Ziping Liu 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, Ziping, Yi Li, Shiji Song, et al.. (2024). MiR-675 Inhibits Primary Ovarian Tumor Growth and Metastasis by Suppressing EMT and TGFβ Signaling. Journal of Cancer. 16(1). 55–65. 1 indexed citations
2.
Zhao, Guannan, Ziping Liu, Hao Chen, et al.. (2024). VERU-111, an orally available tubulin inhibitor, suppresses ovarian tumor growth and metastasis. Journal of Pharmacology and Experimental Therapeutics. 392(1). 100006–100006. 2 indexed citations
3.
Liu, Ziping, Scott W. Wolfe, Richard Laforest, et al.. (2023). Observer-study-based approaches to quantitatively evaluate the realism of synthetic medical images. Physics in Medicine and Biology. 68(7). 74001–74001. 3 indexed citations
4.
Wang, Tianshi, Dehai Wang, Yanan Sun, et al.. (2023). Regulation of the Hippo/YAP axis by CXCR7 in the tumorigenesis of gastric cancer. Journal of Experimental & Clinical Cancer Research. 42(1). 297–297. 14 indexed citations
5.
Wang, Guanghui, Siyuan Shen, Fan Yang, et al.. (2022). Regulation of PTEN and ovarian cancer progression by an E3 ubiquitin ligase RBCK1. Human Cell. 35(3). 896–908. 13 indexed citations
6.
Xue, Ying, et al.. (2022). The shadow in the darkness: Case report on adhesive intestinal obstruction secondary to ventriculoperitoneal shunt catheter in an elderly patient. Annals of Medicine and Surgery. 77. 103661–103661. 1 indexed citations
7.
Liu, Ziping, Zekun Li, Joyce Mhlanga, Barry A. Siegel, & Abhinav K. Jha. (2022). No-gold-standard evaluation of quantitative imaging methods in the presence of correlated noise. PubMed. 12035. 24–24. 3 indexed citations
8.
Zhang, Qun, Ziping Liu, Qian Wang, & Xiaoqian Li. (2022). Low cholesterol is not associated with depression: data from the 2005-2018 National Health and Nutrition Examination Survey. Lipids in Health and Disease. 21(1). 35–35. 15 indexed citations
9.
Jha, Abhinav K., Kyle J. Myers, Nancy A. Obuchowski, et al.. (2021). Objective Task-Based Evaluation of Artificial Intelligence-Based Medical Imaging Methods. PET Clinics. 16(4). 493–511. 29 indexed citations
10.
Liu, Ziping, et al.. (2021). A Bayesian approach to tissue-fraction estimation for oncological PET segmentation. Physics in Medicine and Biology. 66(12). 124002–124002. 16 indexed citations
12.
Wang, Zhe, Qun Zhang, Hongfei Huang, & Ziping Liu. (2020). The efficacy and acceptability of curcumin for the treatment of depression or depressive symptoms: A systematic review and meta-analysis. Journal of Affective Disorders. 282. 242–251. 18 indexed citations
13.
Shi, Yu, Yanyan Zeng, Lei Wu, et al.. (2017). A Study of the Brain Abnormalities of Post-Stroke Depression in Frontal Lobe Lesion. Scientific Reports. 7(1). 13203–13203. 35 indexed citations
14.
Wu, Xiaohua, et al.. (2014). Perceived stigma, medical social support and quality of life among people living with HIV/AIDS in Hunan, China. Applied Nursing Research. 28(2). 169–174. 55 indexed citations
15.
Wu, Wen, et al.. (2014). Resting-state connectivity in the default mode network and insula during experimental low back pain. Neural Regeneration Research. 9(2). 135–135. 34 indexed citations
16.
Zhang, Shanshan, et al.. (2014). Altered regional homogeneity in experimentally induced low back pain: a resting-state fMRI study. Journal of NeuroEngineering and Rehabilitation. 11(1). 115–115. 39 indexed citations
17.
Gao, Xue, Ziping Liu, Zihan Lin, & Xingguang Su. (2013). CuInS2 quantum dots/poly(l-glutamic acid)–drug conjugates for drug delivery and cell imaging. The Analyst. 139(4). 831–831. 31 indexed citations
18.
Wei, Zhongyong, Hua Yang, Ziping Liu, et al.. (2012). N-Methyl-3-(tetrahydro-2H-pyran-4-yl)-2,3,4,9-tetrahydro-1H-carbazole-6-carboxamides as a novel class of cannabinoid receptors agonists with low CNS penetration. Bioorganic & Medicinal Chemistry Letters. 22(12). 3884–3889. 3 indexed citations
19.
Rahimi, Shahram, et al.. (2008). A New High Performance Checkpointing Approach for Mobile Computing Systems. 5 indexed citations
20.
Liu, Ziping, et al.. (2002). A Sender-Initiated Group-shared Ad-hoc On-Demand Multicast Routing Protocol. Parallel and Distributed Processing Techniques and Applications. 1617–1623. 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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