Ping Zhan

636 total citations
27 papers, 463 citations indexed

About

Ping Zhan is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ping Zhan has authored 27 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Ping Zhan's work include MicroRNA in disease regulation (3 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer-related molecular mechanisms research (3 papers). Ping Zhan is often cited by papers focused on MicroRNA in disease regulation (3 papers), Ubiquitin and proteasome pathways (3 papers) and Cancer-related molecular mechanisms research (3 papers). Ping Zhan collaborates with scholars based in China, United Kingdom and United States. Ping Zhan's co-authors include Chunhua Xu, Li Yu, Yuyan Lu, Fuqiang Wang, Lan Shen, Jun Yan, Ji Zhou, Zhibo Hou, Xin Yao and Ruimin Huang and has published in prestigious journals such as Clinical Infectious Diseases, Scientific Reports and Cancer Letters.

In The Last Decade

Ping Zhan

27 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ping Zhan China 10 271 213 97 88 78 27 463
Hongxia Li China 14 337 1.2× 247 1.2× 126 1.3× 64 0.7× 61 0.8× 39 575
Fangyin Zeng China 11 295 1.1× 170 0.8× 133 1.4× 151 1.7× 41 0.5× 25 544
Shu-Zhen Dai China 12 235 0.9× 140 0.7× 74 0.8× 77 0.9× 72 0.9× 33 437
Baogang Peng China 13 332 1.2× 232 1.1× 86 0.9× 56 0.6× 74 0.9× 24 495
Duoduo Lv China 9 291 1.1× 187 0.9× 58 0.6× 52 0.6× 127 1.6× 16 482
Pan Sun China 9 291 1.1× 256 1.2× 113 1.2× 27 0.3× 46 0.6× 15 486
Yanan Peng China 11 226 0.8× 172 0.8× 156 1.6× 217 2.5× 62 0.8× 31 521
Wenhua You China 7 239 0.9× 75 0.4× 144 1.5× 51 0.6× 76 1.0× 12 442
Ya‐Wen Cheng Taiwan 14 187 0.7× 97 0.5× 110 1.1× 57 0.6× 46 0.6× 19 479

Countries citing papers authored by Ping Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Ping Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Zhan. A scholar is included among the top collaborators of Ping Zhan 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 Ping Zhan. Ping Zhan 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
2.
Lü, Jing, Huita Wu, Ping Zhan, et al.. (2025). PSMD14-mediated deubiquitination of CARM1 facilitates the proliferation and metastasis of hepatocellular carcinoma by inducing the transcriptional activation of FERMT1. Cell Death and Disease. 16(1). 141–141. 2 indexed citations
3.
Zhan, Ping, Yizhe Cheng, Jing Lü, et al.. (2025). METTL21A promotes hepatocellular carcinoma progression via methylating and stabilizing BAG3. npj Precision Oncology. 9(1). 234–234. 1 indexed citations
4.
Zhan, Ping, Yuyan Lu, Jing Lü, et al.. (2024). The activation of the Notch signaling pathway by UBE2C promotes the proliferation and metastasis of hepatocellular carcinoma. Scientific Reports. 14(1). 22859–22859. 5 indexed citations
5.
Lu, Yuyan, et al.. (2023). Tumor-associated NK cells facilitate tumor growth via NKp46 in immunocompetent murine hepatocellular carcinoma. Immunology Letters. 258. 8–19. 3 indexed citations
6.
Lu, Yuyan, Jing Lü, Ping Zhan, et al.. (2023). Upregulation of helicase-like transcription factor predicts poor prognosis and facilitates hepatocellular carcinoma progression. Human Cell. 36(4). 1477–1484. 1 indexed citations
7.
Zhang, Chen, et al.. (2023). Comprehensive chemical profiling and quantitative analysis of ethnicYi medicine Miao-Fu-Zhi-Tong granules using UHPLC-MS/MS. Chinese Journal of Natural Medicines. 21(3). 214–225. 5 indexed citations
8.
Wang, Chunyan, et al.. (2023). LncRNA RBAT1 reduces chemosensitivity of cancer cells to carboplatin/paclitaxel by sponging miR‑27b in endometrial carcinoma. Journal of Ovarian Research. 16(1). 147–147. 4 indexed citations
9.
Liu, Min, Ping Zhan, Wenjuan Sun, et al.. (2023). Histone deacetylase 9 exacerbates podocyte injury in hyperhomocysteinemia through epigenetic repression of Klotho. Pharmacological Research. 198. 107009–107009. 8 indexed citations
10.
Lu, Yuyan, Jing Lü, Ping Zhan, et al.. (2023). Heat shock protein HSPA13 promotes hepatocellular carcinoma progression by stabilizing TANK. Cell Death Discovery. 9(1). 443–443. 4 indexed citations
11.
Zhan, Ping, Xue Lu, Li Zhao, et al.. (2022). Mitoquinone alleviates bleomycin-induced acute lung injury via inhibiting mitochondrial ROS-dependent pulmonary epithelial ferroptosis. International Immunopharmacology. 113(Pt A). 109359–109359. 23 indexed citations
12.
Lv, Jie, Sheng Zhang, Huita Wu, et al.. (2019). Deubiquitinase PSMD14 enhances hepatocellular carcinoma growth and metastasis by stabilizing GRB2. Cancer Letters. 469. 22–34. 83 indexed citations
13.
Wang, Fei, Huita Wu, Sheng Zhang, et al.. (2019). <p>LAPTM4B facilitates tumor growth and induces autophagy in hepatocellular carcinoma</p>. Cancer Management and Research. Volume 11. 2485–2497. 18 indexed citations
14.
Zhan, Ping, Xiao Chen, Xiao‐Yuan Wu, et al.. (2016). Mutation analysis of the EGFR gene and its downstream signaling pathway in thymic carcinoma patients from a Chinese Han population. The Clinical Respiratory Journal. 12(2). 601–607. 5 indexed citations
15.
Zhan, Ping, et al.. (2014). Expression of integrin β1 and its significance in squamous cell carcinoma of the cervix. Molecular Medicine Reports. 9(6). 2473–2478. 10 indexed citations
16.
Hou, Zhibo, Wei Zhao, Ji Zhou, et al.. (2014). A long noncoding RNA Sox2ot regulates lung cancer cell proliferation and is a prognostic indicator of poor survival. The International Journal of Biochemistry & Cell Biology. 53. 380–388. 130 indexed citations
17.
Xu, Chunhua, Ping Zhan, Li Yu, & Xiuwei Zhang. (2013). Diagnostic value of pleural interleukin 17 and carcinoembryonic antigen in lung cancer patients with malignant pleural effusions. Tumor Biology. 35(2). 1599–1603. 15 indexed citations
18.
Dai, Min, et al.. (2011). [Effect of metal ions Co2+ and Cr3+ on osteoblast apoptosis, cell cycle distribution, and secretion of alkaline phosphatase].. PubMed. 25(1). 56–60. 7 indexed citations
19.
Cui, Yan‐Hong, Ping Zhan, Dong Luo, & Yinyin Xia. (2010). Molecular mechanisms underlying pentabrominated diphenyl ether-induced proliferation in breast cancer MCF-7 cells. Toxicological & Environmental Chemistry Reviews. 92(6). 1177–1185. 1 indexed citations
20.
Liu, Ze‐Hu, Yongnian Shen, Xiaodong She, et al.. (2009). Primary Cutaneous Zygomycosis Caused byRhizomucor variabilis:A New Endemic Zygomycosis? A Case Report and Review of 6 Cases Reported from China. Clinical Infectious Diseases. 49(3). e39–e43. 44 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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