Qiuming Pan

516 total citations
10 papers, 402 citations indexed

About

Qiuming Pan is a scholar working on Molecular Biology, Cell Biology and Pharmacology. According to data from OpenAlex, Qiuming Pan has authored 10 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Pharmacology. Recurrent topics in Qiuming Pan's work include Glycosylation and Glycoproteins Research (3 papers), Fibroblast Growth Factor Research (2 papers) and Cell Adhesion Molecules Research (2 papers). Qiuming Pan is often cited by papers focused on Glycosylation and Glycoproteins Research (3 papers), Fibroblast Growth Factor Research (2 papers) and Cell Adhesion Molecules Research (2 papers). Qiuming Pan collaborates with scholars based in China, United Kingdom and United States. Qiuming Pan's co-authors include Meiyu Geng, Min Huang, Jian Ding, Xun Huang, Danni Sun, Aijun Shen, Xianliang Xin, Zhongjie Liang, Cheng Luo and Shuai Wang and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Qiuming Pan

9 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qiuming Pan China 7 268 96 90 66 55 10 402
Toshihiro Chikanishi Japan 10 337 1.3× 80 0.8× 104 1.2× 28 0.4× 37 0.7× 12 504
Jing-Yu Lang United States 7 198 0.7× 30 0.3× 68 0.8× 41 0.6× 83 1.5× 7 331
Michael Plötz Germany 13 331 1.2× 77 0.8× 82 0.9× 26 0.4× 108 2.0× 18 505
Romina M. Wiedmann Germany 7 276 1.0× 26 0.3× 53 0.6× 50 0.8× 46 0.8× 7 364
James R. Porter United States 8 350 1.3× 53 0.6× 60 0.7× 46 0.7× 59 1.1× 12 483
Pamela Rutherford United States 7 255 1.0× 60 0.6× 53 0.6× 18 0.3× 115 2.1× 8 402
Behnaz Ahangarian Abhari Germany 15 555 2.1× 144 1.5× 55 0.6× 42 0.6× 152 2.8× 26 699
Ming Guo China 8 353 1.3× 45 0.5× 132 1.5× 23 0.3× 134 2.4× 14 540
Janakiram R. Vangala United States 9 261 1.0× 26 0.3× 96 1.1× 103 1.6× 40 0.7× 10 398
Mailin Li United States 9 188 0.7× 92 1.0× 26 0.3× 34 0.5× 57 1.0× 12 335

Countries citing papers authored by Qiuming Pan

Since Specialization
Citations

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

Fields of papers citing papers by Qiuming Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiuming Pan

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

All Works

10 of 10 papers shown
1.
Pan, Qiuming, Zhi Ting Ye, Junxi Wang, et al.. (2025). Unveiling the complexity of cellular senescence in cancers: From mechanism to therapeutic opportunities. SHILAP Revista de lepidopterología. 3(3). 1 indexed citations
2.
Qu, Shanqiang, Zhi Ye, Qiuming Pan, et al.. (2025). Contemporary Precision Stratification and Prognostic Features of Primary Gliomas in a Southern Chinese Population. Research. 8. 1014–1014.
3.
Wang, Luyao, Ye Zhu, Qiuming Pan, et al.. (2025). Targeting ferroptosis in cancer stem cells: A novel strategy to improve cancer treatment. Genes & Diseases. 12(6). 101678–101678. 3 indexed citations
4.
Dai, Xiaoyang, Juan Yan, Xuhong Fu, et al.. (2017). Aspirin Inhibits Cancer Metastasis and Angiogenesis via Targeting Heparanase. Clinical Cancer Research. 23(20). 6267–6278. 98 indexed citations
5.
Huang, Xun, Danni Sun, Qiuming Pan, et al.. (2014). JG6, a novel marine-derived oligosaccharide, suppresses breast cancer metastasis via binding to cofilin. Oncotarget. 5(11). 3568–3578. 12 indexed citations
6.
Huang, Xun, Qiuming Pan, Danni Sun, et al.. (2013). O-GlcNAcylation of Cofilin Promotes Breast Cancer Cell Invasion. Journal of Biological Chemistry. 288(51). 36418–36425. 61 indexed citations
7.
Wang, Shuai, Xun Huang, Danni Sun, et al.. (2012). Extensive Crosstalk between O-GlcNAcylation and Phosphorylation Regulates Akt Signaling. PLoS ONE. 7(5). e37427–e37427. 106 indexed citations
8.
Ai, Jing, Qingjuan Tang, Yanlin Wu, et al.. (2011). The Role of Polymeric Immunoglobulin Receptor in Inflammation-Induced Tumor Metastasis of Human Hepatocellular Carcinoma. JNCI Journal of the National Cancer Institute. 103(22). 1696–1712. 60 indexed citations
9.
Du, Lin, Hong‐Chun Liu, Wei Fu, et al.. (2011). Unprecedented Citrinin Trimer Tricitinol B Functions as a Novel Topoisomerase IIα Inhibitor. Journal of Medicinal Chemistry. 54(16). 5796–5810. 44 indexed citations
10.
Liu, Haiying, Xianliang Xin, Qiuming Pan, et al.. (2009). Marine-derived oligosaccharide sulfate (JG3) suppresses heparanase-driven cell adhesion events in heparanase over-expressing CHO-K1 cells. Acta Pharmacologica Sinica. 30(7). 1033–1038. 17 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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