Xiaojiang Cui

8.5k total citations
121 papers, 6.1k citations indexed

About

Xiaojiang Cui is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xiaojiang Cui has authored 121 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 62 papers in Oncology and 35 papers in Cancer Research. Recurrent topics in Xiaojiang Cui's work include Cancer Cells and Metastasis (32 papers), HER2/EGFR in Cancer Research (18 papers) and Breast Cancer Treatment Studies (11 papers). Xiaojiang Cui is often cited by papers focused on Cancer Cells and Metastasis (32 papers), HER2/EGFR in Cancer Research (18 papers) and Breast Cancer Treatment Studies (11 papers). Xiaojiang Cui collaborates with scholars based in United States, China and Japan. Xiaojiang Cui's co-authors include Adrian V. Lee, Armando E. Giuliano, Ying Qu, Bingchen Han, Rachel Schiff, Steffi Oesterreich, Grazia Arpino, C. Kent Osborne, Yukun Cui and Manran Liu and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Journal of Clinical Oncology.

In The Last Decade

Xiaojiang Cui

116 papers receiving 6.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xiaojiang Cui 3.6k 2.2k 2.0k 764 642 121 6.1k
Ying Zhang 3.5k 1.0× 1.8k 0.8× 1.2k 0.6× 381 0.5× 578 0.9× 258 6.2k
Jianjun Shen 4.4k 1.2× 1.4k 0.6× 1.3k 0.7× 567 0.7× 635 1.0× 151 6.6k
Asha S. Multani 5.0k 1.4× 3.3k 1.5× 1.9k 1.0× 691 0.9× 650 1.0× 126 8.2k
Carlo Rago 5.6k 1.5× 2.3k 1.0× 2.2k 1.1× 585 0.8× 537 0.8× 32 7.6k
Jinjun Li 4.8k 1.3× 1.7k 0.8× 3.1k 1.6× 321 0.4× 553 0.9× 137 7.0k
Da Fu 3.1k 0.9× 922 0.4× 1.9k 1.0× 314 0.4× 469 0.7× 165 5.0k
Frank A.E. Kruyt 5.7k 1.6× 2.3k 1.0× 1.7k 0.9× 721 0.9× 826 1.3× 140 7.9k
Zhifu Sun 4.0k 1.1× 1.2k 0.5× 2.2k 1.1× 773 1.0× 1.2k 1.8× 156 6.3k
Qimin Zhan 6.8k 1.9× 2.8k 1.2× 2.7k 1.4× 612 0.8× 1.1k 1.7× 249 9.6k
Isabel Fabregat 4.8k 1.3× 2.4k 1.1× 1.4k 0.7× 387 0.5× 610 1.0× 168 8.8k

Countries citing papers authored by Xiaojiang Cui

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojiang Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojiang Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojiang Cui. A scholar is included among the top collaborators of Xiaojiang Cui 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 Xiaojiang Cui. Xiaojiang Cui 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.
Yu, Changjun, Faqing Huang, Mengmeng Liu, et al.. (2025). Targeted Treatment of Sarcomas by Single Protein Encapsulated Doxorubicin with Undetectable Cardiotoxicity and Superior Efficacy. Cancers. 17(5). 881–881.
2.
Giuliano, Armando E., et al.. (2025). PCBP2 Mediates Olaparib Resistance in Breast Cancer by Inhibiting m6A Methylation to Stabilize PARP1 mRNA. Cancer Research. 85(20). 3949–3965.
3.
Cui, Xiaojiang, Jiahui Lin, Cheng Liu, et al.. (2025). AI‐Driven De Novo Design of Ultra Long‐Acting GLP‐1 Receptor Agonists. Advanced Science. 12(40). e07044–e07044.
5.
Gao, Bowen, Qizhi Liu, Faqing Huang, et al.. (2023). Protein-encapsulated doxorubicin reduces cardiotoxicity in hiPSC-cardiomyocytes and cardiac spheroids while maintaining anticancer efficacy. Stem Cell Reports. 18(10). 1913–1924. 11 indexed citations
6.
Yu, Changjun, Faqing Huang, Mengmeng Liu, et al.. (2023). Single protein encapsulated SN38 for tumor-targeting treatment. Journal of Translational Medicine. 21(1). 897–897. 4 indexed citations
7.
Liu, Yan, Shuang Chen, Mao Tian, Armando E. Giuliano, & Xiaojiang Cui. (2023). FOXC1 restrains NF‐κB‐mediated interleukin‐1β transcription in breast cancer. SHILAP Revista de lepidopterología. 4(6). e440–e440. 1 indexed citations
8.
Shibata, Tomohiro, Duo‐Yao Cao, Faizan Ahmed, et al.. (2022). miR766-3p and miR124-3p Dictate Drug Resistance and Clinical Outcome in HNSCC. Cancers. 14(21). 5273–5273. 8 indexed citations
9.
Tang, Xi, Gang Tu, Guanglun Yang, et al.. (2019). Autocrine TGF-β1/miR-200s/miR-221/DNMT3B regulatory loop maintains CAF status to fuel breast cancer cell proliferation. Cancer Letters. 452. 79–89. 60 indexed citations
10.
Yamamoto, Hiromasa, Hirotaka Kanzaki, Ken Suzawa, et al.. (2017). Yes1 signaling mediates the resistance to Trastuzumab/Lap atinib in breast cancer. PLoS ONE. 12(2). e0171356–e0171356. 29 indexed citations
11.
Marotta, Michael, Jeffrey Johnson, G. Thomas Budd, et al.. (2017). Palindromic amplification of the ERBB2 oncogene in primary HER2-positive breast tumors. Scientific Reports. 7(1). 41921–41921. 25 indexed citations
12.
Yue, Yong, et al.. (2016). Stratification of Prognosis of Triple-Negative Breast Cancer Patients Using Combinatorial Biomarkers. PLoS ONE. 11(3). e0149661–e0149661. 26 indexed citations
13.
Jensen, Tor, Tania Ray, Jinhua Wang, et al.. (2015). Diagnosis of Basal-Like Breast Cancer Using a FOXC1-Based Assay. JNCI Journal of the National Cancer Institute. 107(8). 46 indexed citations
14.
Bagaria, Sanjay P., Jinhua Wang, Jaime Shamonki, et al.. (2011). Basal-Like Breast Cancer Defined by FOXC1 Expression Offers Superior Prognostic Value: A Retrospective Immunohistochemical Study. Annals of Surgical Oncology. 18(13). 3839–3847. 35 indexed citations
15.
Ray, Partha, Jinhua Wang, Ying Qu, et al.. (2010). FOXC1 Is a Potential Prognostic Biomarker with Functional Significance in Basal-like Breast Cancer. Cancer Research. 70(10). 3870–3876. 199 indexed citations
16.
Wang, Jinhua, Isere Kuiatse, Adrian V. Lee, et al.. (2010). Sustained c-Jun-NH2-Kinase Activity Promotes Epithelial-Mesenchymal Transition, Invasion, and Survival of Breast Cancer Cells by Regulating Extracellular Signal-Regulated Kinase Activation. Molecular Cancer Research. 8(2). 266–277. 70 indexed citations
17.
Cui, Xiaojiang, Hyun Jung Kim, Isere Kuiatse, et al.. (2006). Epidermal Growth Factor Induces Insulin Receptor Substrate-2 in Breast Cancer Cells via c-Jun NH2-Terminal Kinase/Activator Protein-1 Signaling to Regulate Cell Migration. Cancer Research. 66(10). 5304–5313. 62 indexed citations
18.
Kim, Hyun‐Jung, Xiaojiang Cui, Susan G. Hilsenbeck, & Adrian V. Lee. (2006). Progesterone Receptor Loss Correlates with Human Epidermal Growth Factor Receptor 2 Overexpression in Estrogen Receptor–Positive Breast Cancer. Clinical Cancer Research. 12(3). 1013s–1018s. 49 indexed citations
19.
Li, Tianran, et al.. (1997). Resistance to Mixed PVY and PLRV Infection in Potato Cultivars Expressing Dual PVY and PLRV Coat Protein Genes. Journal of Integrative Plant Biology. 39(3). 2 indexed citations
20.
Li, Cong, et al.. (1994). Construction of Plant Expression Vectors and Identification of Transgenic Potato Plants. Journal of Integrative Plant Biology. 36(11). 2 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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