Zhiping Ruan

1.7k total citations · 1 hit paper
58 papers, 1.2k citations indexed

About

Zhiping Ruan is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Zhiping Ruan has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Oncology, 25 papers in Molecular Biology and 16 papers in Cancer Research. Recurrent topics in Zhiping Ruan's work include Cancer-related molecular mechanisms research (10 papers), Cancer Mechanisms and Therapy (9 papers) and Lung Cancer Research Studies (9 papers). Zhiping Ruan is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), Cancer Mechanisms and Therapy (9 papers) and Lung Cancer Research Studies (9 papers). Zhiping Ruan collaborates with scholars based in China, United States and Hong Kong. Zhiping Ruan's co-authors include Tao Tian, Xuan Liang, Yu Yao, Kejun Nan, Hui Guo, Xiao Fu, Hui Guo, Aimin Jiang, Na Liu and Xiaoqiang Zheng and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.

In The Last Decade

Zhiping Ruan

55 papers receiving 1.2k citations

Hit Papers

Combining p53 mRNA nanoth... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhiping Ruan China 21 721 408 321 212 171 58 1.2k
Chenyue Zhang China 22 680 0.9× 578 1.4× 465 1.4× 303 1.4× 198 1.2× 74 1.4k
Changjing Cai China 19 634 0.9× 362 0.9× 371 1.2× 227 1.1× 143 0.8× 52 1.2k
Qian Wu China 20 508 0.7× 383 0.9× 285 0.9× 179 0.8× 213 1.2× 81 1.1k
Ling Huang China 21 977 1.4× 306 0.8× 660 2.1× 268 1.3× 275 1.6× 67 1.7k
Qinglian Wen China 24 755 1.0× 534 1.3× 423 1.3× 275 1.3× 327 1.9× 67 1.6k
Yan Jia China 25 1.0k 1.4× 405 1.0× 354 1.1× 226 1.1× 162 0.9× 89 1.8k
Ying Hu China 22 618 0.9× 659 1.6× 285 0.9× 319 1.5× 337 2.0× 101 1.6k
Jianxiang Shi China 21 546 0.8× 307 0.8× 192 0.6× 167 0.8× 196 1.1× 87 1.0k
Yan Zhu China 21 518 0.7× 399 1.0× 347 1.1× 243 1.1× 151 0.9× 69 1.3k
Rong Su China 15 420 0.6× 256 0.6× 238 0.7× 179 0.8× 350 2.0× 44 951

Countries citing papers authored by Zhiping Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Zhiping Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhiping Ruan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhiping Ruan. A scholar is included among the top collaborators of Zhiping Ruan 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 Zhiping Ruan. Zhiping Ruan 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.
2.
Chen, Xue, Aimin Jiang, Rui Zhang, et al.. (2022). Immune Checkpoint Inhibitor-Associated Cardiotoxicity in Solid Tumors: Real-World Incidence, Risk Factors, and Prognostic Analysis. Frontiers in Cardiovascular Medicine. 9. 882167–882167. 22 indexed citations
3.
Zheng, Haoran, Aimin Jiang, Na Liu, et al.. (2022). The Efficacy and Safety of Anlotinib in Extensive-Stage Small Cell Lung Cancer: A Multicenter Real-World Study. Cancer Management and Research. Volume 14. 2273–2287. 11 indexed citations
4.
Pu, Zhangya, Chen Jiang, Peng Fang, et al.. (2022). Establishment and validation of prognostic nomograms to predict the overall and cancer-specific survival in patients with hepatic malignant vascular tumors.. PubMed. 14(2). 798–818. 1 indexed citations
5.
Xiao, Yuling, Hui Zhou, Xiaodong Zeng, et al.. (2022). Combining p53 mRNA nanotherapy with immune checkpoint blockade reprograms the immune microenvironment for effective cancer therapy. Nature Communications. 13(1). 758–758. 179 indexed citations breakdown →
6.
Jiang, Aimin, Haoran Zheng, Na Liu, et al.. (2021). Assessment of the Clinical Utility of Circulating Tumor Cells at Different Time Points in Predicting Prognosis of Patients With Small Cell Lung Cancer: A Meta-Analysis. Cancer Control. 28. 2895468629–2895468629. 5 indexed citations
8.
Jiang, Aimin, Na Liu, Huan Gao, et al.. (2020). <p>Nosocomial Infections in Gastrointestinal Cancer Patients: Bacterial Profile, Antibiotic Resistance Pattern, and Prognostic Factors</p>. Cancer Management and Research. Volume 12. 4969–4979. 8 indexed citations
9.
Fu, Xiao, Zhiyan Liu, Mengjie Liu, et al.. (2020). <p>PD-L1 Predicts Poor Prognosis in Surgically Resected Limited Stage Small-Cell Lung Cancer</p>. Cancer Management and Research. Volume 12. 10939–10948. 10 indexed citations
10.
Fu, Xiao, Tao Tian, Zhiping Ruan, et al.. (2019). EP1.12-22 The Expression and Prognostic Roles of PD-L1, PAPR1 and DLL3 in Small Cell Lung Cancer. Journal of Thoracic Oncology. 14(10). S1024–S1025. 1 indexed citations
11.
Du, Lan, Jing Li, Tao Tian, et al.. (2019). Clinicopathological and prognostic significance of pretreatment thrombocytosis in patients with endometrial cancer: a meta-analysis.. SHILAP Revista de lepidopterología. 11. 4283–4295. 6 indexed citations
12.
Wang, Jing, Zhiyan Liu, Tinghua Hu, et al.. (2017). Nrf2 promotes progression of non-small cell lung cancer through activating autophagy. Cell Cycle. 16(11). 1053–1062. 36 indexed citations
13.
Wang, Yu, Jing Li, François X. Claret, et al.. (2017). Autophagy in the “inflammation-carcinogenesis” pathway of liver and HCC immunotherapy. Cancer Letters. 411. 82–89. 58 indexed citations
14.
Liu, Zhiyan, Tao Wu, Qing Li, et al.. (2016). Notch Signaling Components. Medicine. 95(20). e3715–e3715. 22 indexed citations
15.
Guo, Hui, Yi Li, Tao Tian, et al.. (2015). The role of cytoplasmic p57 in invasion of hepatocellular carcinoma. BMC Gastroenterology. 15(1). 104–104. 8 indexed citations
16.
Huo, Xiongwei, et al.. (2015). Tripartite motif 16 inhibits epithelial–mesenchymal transition and metastasis by down-regulating sonic hedgehog pathway in non-small cell lung cancer cells. Biochemical and Biophysical Research Communications. 460(4). 1021–1028. 34 indexed citations
17.
Ruan, Zhiping, Rui Xu, Tao Tian, et al.. (2012). Bmi1 knockdown inhibits hepatocarcinogenesis. International Journal of Oncology. 42(1). 261–268. 12 indexed citations
18.
Ruan, Zhiping, Rui Xu, Yi Lv, et al.. (2012). PTEN Enhances the Sensitivity of Human Hepatocellular Carcinoma Cells to Sorafenib. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 20(2). 113–121. 18 indexed citations
19.
Guo, Hui, Yifei Lv, Tao Tian, et al.. (2011). Downregulation of p57 accelerates the growth and invasion of hepatocellular carcinoma. Carcinogenesis. 32(12). 1897–1904. 33 indexed citations
20.
Tian, Zibin, Zhixin Jia, Jumei Shi, et al.. (2010). Tumor-Targeted Inhibition by a Novel Strategy - Mimoretrovirus Expressing siRNA Targeting the Pokemon Gene. Current Cancer Drug Targets. 10(8). 932–941. 10 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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