Xiaorong Pan

1.9k total citations
56 papers, 1.5k citations indexed

About

Xiaorong Pan is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Xiaorong Pan has authored 56 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 18 papers in Oncology and 14 papers in Immunology. Recurrent topics in Xiaorong Pan's work include interferon and immune responses (7 papers), Liver physiology and pathology (5 papers) and MicroRNA in disease regulation (5 papers). Xiaorong Pan is often cited by papers focused on interferon and immune responses (7 papers), Liver physiology and pathology (5 papers) and MicroRNA in disease regulation (5 papers). Xiaorong Pan collaborates with scholars based in China, United States and Australia. Xiaorong Pan's co-authors include Zonghai Li, Bizhi Shi, Hua Jiang, Jianhua Tong, Huiping Gao, Kesang Li, Hongyang Wang, Shengli Yang, Jianren Gu and Juan Kong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Cancer Research.

In The Last Decade

Xiaorong Pan

55 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaorong Pan China 21 732 531 429 337 142 56 1.5k
Shengping Li China 24 467 0.6× 680 1.3× 361 0.8× 315 0.9× 171 1.2× 84 1.7k
Wenlin Du Japan 19 554 0.8× 320 0.6× 258 0.6× 195 0.6× 120 0.8× 36 1.1k
Jianming Zheng China 22 912 1.2× 517 1.0× 279 0.7× 664 2.0× 73 0.5× 59 1.7k
Ning-Bo Hao China 11 624 0.9× 365 0.7× 509 1.2× 419 1.2× 50 0.4× 21 1.3k
Bohao Zheng China 19 422 0.6× 520 1.0× 378 0.9× 333 1.0× 171 1.2× 53 1.3k
Direna Alonso‐Curbelo United States 14 947 1.3× 540 1.0× 595 1.4× 260 0.8× 46 0.3× 20 1.9k
Yun Peng China 17 1.1k 1.6× 286 0.5× 249 0.6× 374 1.1× 152 1.1× 65 1.9k
Jiacheng Huang China 19 540 0.7× 409 0.8× 265 0.6× 323 1.0× 114 0.8× 102 1.6k

Countries citing papers authored by Xiaorong Pan

Since Specialization
Citations

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

Fields of papers citing papers by Xiaorong Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaorong Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaorong Pan. A scholar is included among the top collaborators of Xiaorong 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 Xiaorong Pan. Xiaorong Pan 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.
Xia, Di, et al.. (2024). Targeting inhibition of TCTP could inhibit proliferation and induce apoptosis in AML cells. Cellular Signalling. 117. 111074–111074.
2.
Pan, Xiaorong, Yaxuan Wei, Chun‐Xia Zhao, et al.. (2024). Actomyosin-II protects axons from degeneration induced by mild mechanical stress. The Journal of Cell Biology. 223(8). 7 indexed citations
3.
Ping, Zhang, et al.. (2023). Prevalence and associating variables with fear of progression in Chinese pediatric cancer patients: A cross-sectional study. Journal of Child Health Care. 29(1). 22–33. 1 indexed citations
4.
Zhang, Xuan, Di Xia, Ruixian Wang, et al.. (2022). Identification of potential biomarkers for digestive system cancers from serum-derived extracellular vesicle RNA. Clinica Chimica Acta. 531. 36–47. 5 indexed citations
5.
Li, Kaichun, et al.. (2021). Machine learning based tissue analysis reveals Brachyury has a diagnosis value in breast cancer. Bioscience Reports. 41(4). 6 indexed citations
6.
Wang, Ruixian, et al.. (2020). A Protocol for Cancer-Related Mutation Detection on Exosomal DNA in Clinical Application. Frontiers in Oncology. 10. 558106–558106. 16 indexed citations
7.
Song, Fei, Biao Wang, Kesang Li, et al.. (2018). The Effect of and Mechanism Underlying Autophagy in Hepatocellular Carcinoma Induced by CH12, a Monoclonal Antibody Directed Against Epidermal Growth Factor Receptor Variant III. Cellular Physiology and Biochemistry. 46(1). 226–237. 12 indexed citations
8.
Jiang, Lu, Jinghua Jiang, Xue Yang, et al.. (2017). Hepatocyte nuclear factor-1beta enhances the stemness of hepatocellular carcinoma cells through activation of the Notch pathway. Scientific Reports. 7(1). 4793–4793. 20 indexed citations
9.
Pan, Xiaorong, Yuzhen Gao, Jianwei Liu, Chunying Liu, & Yong Xia. (2016). Progress in studies on autoantibodies against tumor-associated antigens in hepatocellular carcinoma. Translational Cancer Research. 5(6). 845–859. 2 indexed citations
10.
Zeng, Jianxing, Yingying Jing, Xiaorong Pan, et al.. (2016). Autophagy regulates biliary differentiation of hepatic progenitor cells through Notch1 signaling pathway. Cell Cycle. 15(12). 1602–1610. 15 indexed citations
11.
Chen, Cheng, Kesang Li, Hua Jiang, et al.. (2016). Development of T cells carrying two complementary chimeric antigen receptors against glypican-3 and asialoglycoprotein receptor 1 for the treatment of hepatocellular carcinoma. Cancer Immunology Immunotherapy. 66(4). 475–489. 82 indexed citations
12.
Wang, Biao, Jiqin Zhang, Fei Song, et al.. (2016). EGFR regulates iron homeostasis to promote cancer growth through redistribution of transferrin receptor 1. Cancer Letters. 381(2). 331–340. 66 indexed citations
13.
Xu, Wen, Jiqin Zhang, Juan Kong, et al.. (2015). Synergistic antitumor efficacy against the EGFRvIII+HER2+ breast cancers by combining trastuzumab with anti-EGFRvIII antibody CH12. Oncotarget. 6(36). 38840–38853. 6 indexed citations
14.
Gao, Huiping, Kesang Li, Hong Tu, et al.. (2014). Development of T Cells Redirected to Glypican-3 for the Treatment of Hepatocellular Carcinoma. Clinical Cancer Research. 20(24). 6418–6428. 259 indexed citations
15.
Ma, Kelong, Xiaorong Pan, Pingsheng Fan, et al.. (2014). Loss of miR-638 in vitro promotes cell invasion and a mesenchymal-like transition by influencing SOX2 expression in colorectal carcinoma cells. Molecular Cancer. 13(1). 118–118. 62 indexed citations
16.
Zhou, Min, et al.. (2014). Galectin-1 overexpression promotes progression and chemoresistance to cisplatin in epithelial ovarian cancer. Cell Death and Disease. 5(1). e991–e991. 86 indexed citations
17.
Zhou, Min, Hai Wang, Keke Zhou, et al.. (2013). A Novel EGFR Isoform Confers Increased Invasiveness to Cancer Cells. Cancer Research. 73(23). 7056–7067. 20 indexed citations
18.
Zhang, Pengfei, Min Zhou, Hua Jiang, et al.. (2013). Exon 4 deletion variant of epidermal growth factor receptor enhances invasiveness and cisplatin resistance in epithelial ovarian cancer. Carcinogenesis. 34(11). 2639–2646. 20 indexed citations
19.
Pan, Xiaorong, et al.. (2012). [Role of auto-secreted interferon α in all-trans retinoic acid-induced expression of RIG-G gene].. PubMed. 92(2). 124–7. 2 indexed citations
20.
Pan, Xiaorong, et al.. (2010). Intact JAK–STAT signaling pathway is a prerequisite for STAT1 to reinforce the expression of RIG-G gene. Experimental Cell Research. 317(4). 513–520. 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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