Liping Shan

495 total citations
26 papers, 284 citations indexed

About

Liping Shan is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Cancer Research. According to data from OpenAlex, Liping Shan has authored 26 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pulmonary and Respiratory Medicine, 7 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Liping Shan's work include Ferroptosis and cancer prognosis (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Land Use and Ecosystem Services (3 papers). Liping Shan is often cited by papers focused on Ferroptosis and cancer prognosis (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Land Use and Ecosystem Services (3 papers). Liping Shan collaborates with scholars based in China, United States and Japan. Liping Shan's co-authors include Yongsheng Song, Jiaojiao Luo, Wei Wang, Enchong Zhang, Wei Liu, Zhi Liu, Zhengwei Yuan, Yongsheng Song, Xuesong Dong and Bo Yin and has published in prestigious journals such as Scientific Reports, Life Sciences and Ecological Indicators.

In The Last Decade

Liping Shan

24 papers receiving 283 citations

Peers

Liping Shan

PRM

ONCOL

Yoon-ha Lee South Korea

Yi Deng China

Nathan Smith United States

Qun Ren China

Jackie Haines United Kingdom

Mariano Amo‐Salas Spain

Catherine Enders United States

Helotônio Carvalho Brazil

Zongtai Li China

Yoon-ha Lee South Korea

Liping Shan

195 ×1.8

44 ×0.7

PRM

72 ×1.3

41 ×1.2

ONCOL

9 ×0.3

Citations per year, relative to Liping Shan Liping Shan (= 1×) peers Yoon-ha Lee

Countries citing papers authored by Liping Shan

Since Specialization

Citations

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

Fields of papers citing papers by Liping Shan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liping Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Liping Shan. A scholar is included among the top collaborators of Liping Shan 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 Liping Shan. Liping Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shan, Liping, et al.. (2025). What factors contribute to self-organized collective action for old village reconstruction? A qualitative comparative analysis of 36 villages in China. Land Use Policy. 157. 107644–107644. 1 indexed citations

Shan, Liping, et al.. (2024). Markers in Identifying Pathological Complete Response Status in Muscle Invasive Bladder Cancer Patients Who Achieved Clinical Complete Response After Neoadjuvant Chemotherapy. Clinical Genitourinary Cancer. 22(6). 102211–102211.

Shan, Liping, et al.. (2023). Associations between grain intake and hospitalized nephrolithiasis in Chinese adults: a case-control study. Food & Function. 14(8). 3863–3870. 2 indexed citations

Li, Jia, et al.. (2023). Prospective comparison of extracorporeal shock wave lithotripsy versus flexible ureterorenoscopy in patients with non–lower pole kidney stones under the COVID-19 pandemic. Urolithiasis. 51(1). 38–38. 3 indexed citations

Xiang, Shanshan, Mengmeng Zhou, Lingyan Huang, Liping Shan, & Ke Wang. (2023). Assessing the dynamic land utilization efficiency and relevant driving mechanism in in-situ urbanized rural areas: A case study of 1979 administrative villages in Hangzhou. Environmental Impact Assessment Review. 101. 107111–107111. 10 indexed citations

Chen, Sha, et al.. (2023). Optimizing the Cropland Fallow for Water Resource Security in the Groundwater Funnel Area of China. Land. 12(2). 462–462. 7 indexed citations

Shan, Liping, et al.. (2023). A Comparative Analysis of the Interaction between Urban-Rural Construction Land Transition and Population Flow: Dominant and Recessive Perspectives. Land. 12(10). 1829–1829. 3 indexed citations

Wang, Xiaobin, et al.. (2022). Prospective Comparison of Local Anesthesia with General or Spinal Anesthesia in Patients Treated with Microscopic Varicocelectomy. Journal of Clinical Medicine. 11(21). 6397–6397. 6 indexed citations

Li, Jia, et al.. (2022). Nomogram for predicting spontaneous pregnancy after microscopic varicocelectomy in infertile men with normal hormone. BMC Pregnancy and Childbirth. 22(1). 791–791. 2 indexed citations

10.

Gao, Song, Liping Shan, Mo Zhang, et al.. (2022). Inhibition of PP2A by LB100 sensitizes bladder cancer cells to chemotherapy by inducing p21 degradation. Cellular Oncology. 45(6). 1203–1215. 4 indexed citations

11.

Zhang, Enchong, Yijing Chen, Xueying Hou, et al.. (2021). Identification of subgroups along the glycolysis-cholesterol synthesis axis and the development of an associated prognostic risk model. Human Genomics. 15(1). 53–53. 10 indexed citations

12.

Zhang, Enchong, et al.. (2021). Establishment of Novel Prostate Cancer Risk Subtypes and A Twelve-Gene Prognostic Model. Frontiers in Molecular Biosciences. 8. 676138–676138.

13.

Shan, Liping, Wei Liu, & Yunhong Zhan. (2020). Long Non-coding RNA CCAT1 Acts as an Oncogene and Promotes Sunitinib Resistance in Renal Cell Carcinoma. Frontiers in Oncology. 10. 516552–516552. 13 indexed citations

14.

Zhang, Enchong, Mo Zhang, Li Sun, et al.. (2020). An overview of advances in multi-omics analysis in prostate cancer. Life Sciences. 260. 118376–118376. 22 indexed citations

15.

Zhang, Enchong, Hui Zhang, Liping Shan, et al.. (2020). Immune-Related Gene-Based Novel Subtypes to Establish a Model Predicting the Risk of Prostate Cancer. Frontiers in Genetics. 11. 15 indexed citations

16.

Chen, Lizhu, Hui Gu, Jun Li, et al.. (2016). Comprehensive maternal serum proteomics identifies the cytoskeletal proteins as non-invasive biomarkers in prenatal diagnosis of congenital heart defects. Scientific Reports. 6(1). 19248–19248. 22 indexed citations

17.

Zhang, Mo, Lizhu Chen, Zhengwei Yuan, et al.. (2016). Combined serum and EPS-urine proteomic analysis using iTRAQ technology for discovery of potential prostate cancer biomarkers.. PubMed. 22(122). 281–295. 13 indexed citations

18.

Yin, Bo, Liping Shan, Hui Zhang, et al.. (2014). RNA Interference-Mediated Knockdown of Astrocyte Elevated Gene-1 Inhibits Growth, Induces Apoptosis, and Increases the Chemosensitivity to 5-Fluorouracil in Renal Cancer Caki-1 Cells. Molecules and Cells. 37(12). 857–864. 19 indexed citations

19.

Shan, Liping, Fan Yang, Hui Li, et al.. (2011). Proteomic analysis of amniotic fluid of pregnant rats with spina bifida aperta. Journal of Proteomics. 75(4). 1181–1189. 9 indexed citations

20.

Yang, Fan, Lili Wang, Fenghua Zhou, et al.. (2011). Comparative proteomics of spinal cords of rat fetuses with spina bifida aperta. Journal of Proteomics. 75(2). 668–676. 14 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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