Pan Liu

834 total citations
32 papers, 554 citations indexed

About

Pan Liu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Pan Liu has authored 32 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Oncology and 11 papers in Cancer Research. Recurrent topics in Pan Liu's work include Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers) and Cancer Cells and Metastasis (4 papers). Pan Liu is often cited by papers focused on Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers) and Cancer Cells and Metastasis (4 papers). Pan Liu collaborates with scholars based in China, United States and Japan. Pan Liu's co-authors include Tao Qin, Qiang Fu, Hongwei Zhang, Kequan Xu, Chao-Nan Qian, Kaishun Hu, Xu Zhang, Xia Liu, Wen-Hua Lu and Jie Xiong and has published in prestigious journals such as Oncogene, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Pan Liu

31 papers receiving 552 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pan Liu China 15 354 233 105 65 55 32 554
Liansheng Gong China 14 306 0.9× 235 1.0× 112 1.1× 40 0.6× 54 1.0× 29 519
Feihu Bai China 17 419 1.2× 200 0.9× 177 1.7× 54 0.8× 86 1.6× 48 694
Xuan Zhu China 15 339 1.0× 273 1.2× 91 0.9× 44 0.7× 43 0.8× 28 519
Ye Xu China 12 367 1.0× 227 1.0× 129 1.2× 46 0.7× 62 1.1× 18 593
Xiaorui Su China 5 366 1.0× 145 0.6× 160 1.5× 54 0.8× 69 1.3× 13 580
Xiqiang Cai China 11 385 1.1× 225 1.0× 154 1.5× 61 0.9× 85 1.5× 14 616
Hongwei Tang China 13 367 1.0× 113 0.5× 105 1.0× 53 0.8× 42 0.8× 38 573
Hyun Gyu Lee South Korea 16 326 0.9× 108 0.5× 136 1.3× 82 1.3× 40 0.7× 23 599

Countries citing papers authored by Pan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Pan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Liu. A scholar is included among the top collaborators of Pan 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 Pan Liu. Pan 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, Pan, et al.. (2024). Polyploid giant cancer cells: origin, possible pathways of formation, characteristics, and mechanisms of regulation. Frontiers in Cell and Developmental Biology. 12. 1410637–1410637. 19 indexed citations
2.
Liu, Pan, Chao He, Lei Chen, et al.. (2024). Inhibition Effect of Pancreatic Exocrine Insufficiency on Immune Checkpoint Inhibitor Treatment in Pancreatic Cancer: A Retrospective Study. ImmunoTargets and Therapy. Volume 13. 45–54. 1 indexed citations
3.
Liu, Yixin, et al.. (2024). Development and Validation of a Comprehensive Prognostic and Depression Risk Index for Gastric Adenocarcinoma. International Journal of Molecular Sciences. 25(19). 10776–10776.
4.
Li, Kang, Huifang Zhang, Jianzhong He, et al.. (2023). Control of SOX2 protein stability and tumorigenic activity by E3 ligase CHIP in esophageal cancer cells. Oncogene. 42(30). 2315–2328. 3 indexed citations
5.
Liu, Pan, Zhilan Liu, Qiang Fu, et al.. (2023). A pan-cancer analysis of potassium channel tetramerization domain containing 12 in human cancer. Scientific Reports. 13(1). 13898–13898. 3 indexed citations
6.
Liu, Pan, et al.. (2023). Cancer Stem Cells are Actually Stem Cells with Disordered Differentiation: the Monophyletic Origin of Cancer. Stem Cell Reviews and Reports. 19(4). 827–838. 9 indexed citations
7.
Pan, Yanfeng, Qiang Fu, Xu Zhang, et al.. (2022). Immortalization-upregulated protein promotes pancreatic cancer progression by regulating NPM1/FHL1-mediated cell-cycle-checkpoint protein activity. Cell Biology and Toxicology. 39(5). 2069–2087. 6 indexed citations
8.
Song, Guo‐qing, Yao Ma, Pan Liu, et al.. (2022). miR-335-5p Targets SDC1 to Regulate the Progression of Breast Cancer. Critical Reviews in Eukaryotic Gene Expression. 32(6). 21–31. 10 indexed citations
9.
Xu, Kequan, Peng Xia, Pan Liu, & Xiao Zhang. (2022). A six lipid metabolism related gene signature for predicting the prognosis of hepatocellular carcinoma. Scientific Reports. 12(1). 20781–20781. 20 indexed citations
10.
Wang, Jie, et al.. (2021). The clinical prognostic value of lncRNA LINC00675 in cancer patients. Medicine. 100(16). e25244–e25244. 1 indexed citations
11.
Liu, Pan, et al.. (2021). miR-199a-5p inhibits the proliferation of hepatocellular carcinoma cells by regulating CDC25A to induce cell cycle arrest. Biochemical and Biophysical Research Communications. 571. 96–103. 14 indexed citations
12.
Zhang, Yang, et al.. (2021). Effects of HOX transcript antisense intergenic RNA on the metastasis, epithelial-mesenchymal transition, and Notch signaling pathway in tongue cancer. Translational Cancer Research. 10(1). 520–528. 5 indexed citations
13.
Zhang, Xu, Ming Zhu, Xiaoliang Jiang, et al.. (2020). P-selectin glycoprotein ligand 1 deficiency prevents development of acute pancreatitis by attenuating leukocyte infiltration. World Journal of Gastroenterology. 26(41). 6361–6377. 13 indexed citations
14.
Liao, Yuandong, et al.. (2020). Identification of Long Noncoding RNA Expression Profiles in HPV-Negative Cervical Cancer. Gynecologic and Obstetric Investigation. 85(5). 377–387. 5 indexed citations
15.
Liu, Pan, Chunyu Zhang, Yuandong Liao, et al.. (2020). High expression of PTPRM predicts poor prognosis and promotes tumor growth and lymph node metastasis in cervical cancer. Cell Death and Disease. 11(8). 687–687. 19 indexed citations
16.
Fu, Qiang, Xu Zhang, Peng Xia, et al.. (2019). <p>Emerging Roles Of hsa-circ-0046600 Targeting The miR-640/HIF-1α Signalling Pathway In The Progression Of HCC</p>. OncoTargets and Therapy. Volume 12. 9291–9302. 34 indexed citations
17.
Xia, Peng, Pan Liu, Qiang Fu, et al.. (2019). Long noncoding RNA EPIC1 interacts with YAP1 to regulate the cell cycle and promote the growth of pancreatic cancer cells. Biochemical and Biophysical Research Communications. 522(4). 978–985. 19 indexed citations
18.
Yang, Fan, Lei Luo, Xuan Zhou, et al.. (2017). Chlorogenic Acid Inhibits Liver Fibrosis by Blocking the miR-21-Regulated TGF-β1/Smad7 Signaling Pathway in Vitro and in Vivo. Frontiers in Pharmacology. 8. 929–929. 82 indexed citations
19.
Tu, Zhenbo, Songping Xie, Meng Xiong, et al.. (2016). CXCR4 is involved in CD133-induced EMT in non-small cell lung cancer. International Journal of Oncology. 50(2). 505–514. 32 indexed citations
20.
Liu, Xia, Yi Sang, Shuangbing Xu, et al.. (2012). MiR-138 suppressed nasopharyngeal carcinoma growth and tumorigenesis by targeting the CCND1 oncogene. Cell Cycle. 11(13). 2495–2506. 95 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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