Suling Liu

19.8k total citations · 7 hit papers
133 papers, 13.5k citations indexed

About

Suling Liu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Suling Liu has authored 133 papers receiving a total of 13.5k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 68 papers in Oncology and 31 papers in Cancer Research. Recurrent topics in Suling Liu's work include Cancer Cells and Metastasis (47 papers), Epigenetics and DNA Methylation (14 papers) and Cancer-related molecular mechanisms research (13 papers). Suling Liu is often cited by papers focused on Cancer Cells and Metastasis (47 papers), Epigenetics and DNA Methylation (14 papers) and Cancer-related molecular mechanisms research (13 papers). Suling Liu collaborates with scholars based in China, United States and France. Suling Liu's co-authors include Max S. Wicha, Gabriela Dontu, Hasan Körkaya, Christophe Ginestier, Emmanuelle Charafe‐Jauffret, Celina G. Kleer, Daniel Birnbaum, Julie Dutcher, Florence Monville and Anne F. Schott and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Suling Liu

130 papers receiving 13.3k citations

Hit Papers

ALDH1 Is a Marker of Normal and Malignant Human Mammary S... 2006 2026 2012 2019 2007 2006 2006 2010 2011 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. ALDH1 Is a Marker of Normal and Malignant Human Mammary Stem Cells and a Predictor of Poor Clinical Outcome
    2007 3.1k citations Christophe Ginestier, Emmanuelle Charafe‐Jauffret et al. profile →
  2. Cancer Stem Cells: An Old Idea—A Paradigm Shift
    2006 1.0k citations Max S. Wicha, Suling Liu et al. Cancer Research profile →
  3. Hedgehog Signaling and Bmi-1 Regulate Self-renewal of Normal and Malignant Human Mammary Stem Cells
    2006 986 citations Suling Liu, Gabriela Dontu et al. Cancer Research profile →
  4. CXCR1 blockade selectively targets human breast cancer stem cells in vitro and in xenografts
    2010 588 citations Christophe Ginestier, Suling Liu et al. profile →
  5. Breast cancer stem cells, cytokine networks, and the tumor microenvironment
    2011 498 citations Hasan Körkaya, Suling Liu et al. profile →
  6. Breast Cancer Stem Cells Are Regulated by Mesenchymal Stem Cells through Cytokine Networks
    2011 495 citations Suling Liu, Christophe Ginestier et al. Cancer Research profile →
  7. Activation of an IL6 Inflammatory Loop Mediates Trastuzumab Resistance in HER2+ Breast Cancer by Expanding the Cancer Stem Cell Population
    2012 427 citations Hasan Körkaya, April Davis et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suling Liu China 49 8.0k 7.4k 3.9k 1.5k 1.1k 133 13.5k
Christophe Ginestier France 43 8.2k 1.0× 7.2k 1.0× 4.3k 1.1× 1.2k 0.8× 1.3k 1.2× 94 12.8k
Peter M. Siegel Canada 53 7.0k 0.9× 9.0k 1.2× 3.6k 0.9× 1.7k 1.1× 1.6k 1.5× 148 14.7k
Gabriela Dontu United States 29 10.8k 1.4× 8.1k 1.1× 4.4k 1.1× 1.1k 0.7× 1.2k 1.1× 42 14.7k
Héctor Peinado Spain 41 5.5k 0.7× 10.3k 1.4× 4.5k 1.1× 2.0k 1.3× 1.4k 1.3× 91 14.7k
Mauro Biffoni Italy 42 5.7k 0.7× 6.8k 0.9× 4.4k 1.1× 1.2k 0.8× 956 0.9× 110 11.6k
Derek C. Radisky United States 61 5.9k 0.7× 7.1k 1.0× 3.8k 1.0× 1.4k 0.9× 1.7k 1.5× 196 14.3k
Ruby Yun‐Ju Huang Singapore 39 7.2k 0.9× 9.8k 1.3× 4.8k 1.2× 1.7k 1.1× 2.0k 1.8× 103 16.4k
Keping Xie United States 71 5.5k 0.7× 11.0k 1.5× 5.4k 1.4× 2.0k 1.3× 1.4k 1.2× 210 17.2k
Rolf A. Brekken United States 73 6.4k 0.8× 9.3k 1.3× 4.4k 1.1× 3.5k 2.3× 1.7k 1.6× 271 19.5k
Matilde Todaro Italy 53 9.3k 1.2× 8.1k 1.1× 4.1k 1.0× 3.5k 2.3× 980 0.9× 137 16.4k

Countries citing papers authored by Suling Liu

Since Specialization
Citations

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

Fields of papers citing papers by Suling Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suling Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Suling Liu. A scholar is included among the top collaborators of Suling 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 Suling Liu. Suling 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, Suling, et al.. (2025). Breast Cancer Stem Cell Heterogeneity, Plasticity and Treatment Strategies. 1 indexed citations
2.
Tan, Yan Qin, Yi‐Shiou Chiou, Shuwei Zhang, et al.. (2024). Vertical pathway inhibition of receptor tyrosine kinases and BAD with synergistic efficacy in triple negative breast cancer. npj Precision Oncology. 8(1). 8–8. 6 indexed citations
3.
Zhang, Lixing, Juchuanli Tu, Siqin Li, et al.. (2024). IL1R2 Blockade Alleviates Immunosuppression and Potentiates Anti-PD-1 Efficacy in Triple-Negative Breast Cancer. Cancer Research. 84(14). 2282–2296. 26 indexed citations
4.
Liu, Suling, Yuan Wang, Jiawen Feng, Zhihua Liu, & Shengtao Zhou. (2024). Building an Organ-Wide Macroscopic View of Cancer Hallmarks. Cancer Discovery. 14(11). 2041–2046. 1 indexed citations
5.
Deng, Qiaodan, Cuicui Liu, Juchuanli Tu, et al.. (2024). SOSTDC1 Nuclear Translocation Facilitates BTIC Maintenance and CHD1‐Mediated HR Repair to Promote Tumor Progression and Olaparib Resistance in TNBC. Advanced Science. 11(29). e2306860–e2306860. 1 indexed citations
6.
Wang, Han, Chenglin Liu, Yi Xiao, et al.. (2023). Genomic alterations affecting tumor-infiltrating lymphocytes and PD-L1 expression patterns in triple-negative breast cancer. JNCI Journal of the National Cancer Institute. 115(12). 1586–1596. 6 indexed citations
7.
Wu, Mingming, Xiao Zhang, Weijie Zhang, et al.. (2022). Cancer stem cell regulated phenotypic plasticity protects metastasized cancer cells from ferroptosis. Nature Communications. 13(1). 1371–1371. 107 indexed citations
8.
Xia, Lin, Junyi Liu, Yujie Chen, et al.. (2021). Targeting Triple-Negative Breast Cancer with Combination Therapy of EGFR CAR T Cells and CDK7 Inhibition. Cancer Immunology Research. 9(6). 707–722. 55 indexed citations
9.
Xu, Jiahui, Xiaoli Yang, Qiaodan Deng, et al.. (2021). TEM8 marks neovasculogenic tumor-initiating cells in triple-negative breast cancer. Nature Communications. 12(1). 4413–4413. 50 indexed citations
10.
Liu, Yajing, Monika L. Burness, Rachel Martin-Trevino, et al.. (2016). RAD51 Mediates Resistance of Cancer Stem Cells to PARP Inhibition in Triple-Negative Breast Cancer. Clinical Cancer Research. 23(2). 514–522. 123 indexed citations
11.
Sun, Shuyang, Suling Liu, Sheng Zhong Duan, et al.. (2014). Targeting the c-Met/FZD8 Signaling Axis Eliminates Patient-Derived Cancer Stem–like Cells in Head and Neck Squamous Carcinomas. Cancer Research. 74(24). 7546–7559. 83 indexed citations
12.
Luo, Ming, Xiaofeng Zhao, Song Chen, et al.. (2013). Distinct FAK Activities Determine Progenitor and Mammary Stem Cell Characteristics. Cancer Research. 73(17). 5591–5602. 49 indexed citations
13.
Liu, Suling, Christophe Ginestier, Sing J. Ou, et al.. (2011). Breast Cancer Stem Cells Are Regulated by Mesenchymal Stem Cells through Cytokine Networks. Cancer Research. 71(2). 614–624. 495 indexed citations breakdown →
14.
Li, Yanyan, Tao Zhang, Hasan Körkaya, et al.. (2010). Sulforaphane, a Dietary Component of Broccoli/Broccoli Sprouts, Inhibits Breast Cancer Stem Cells. Clinical Cancer Research. 16(9). 2580–2590. 443 indexed citations
15.
Luo, Ming, Huaping Fan, Tamás Nagy, et al.. (2009). Mammary Epithelial-Specific Ablation of the Focal Adhesion Kinase Suppresses Mammary Tumorigenesis by Affecting Mammary Cancer Stem/Progenitor Cells. Cancer Research. 69(2). 466–474. 174 indexed citations
16.
Liu, Suling, Christophe Ginestier, Emmanuelle Charafe‐Jauffret, et al.. (2008). BRCA1 regulates human mammary stem/progenitor cell fate. Proceedings of the National Academy of Sciences. 105(5). 1680–1685. 336 indexed citations
17.
Liu, Suling, et al.. (2007). Identification of a strain Prototheca zopfii var.hydrocarbonea by analyzing the sequence of ribosome RNA gene. Zhongguo renshougonghuanbing zazhi. 656–660. 3 indexed citations
18.
Liu, Suling, Gabriela Dontu, Ilia D. Mantle, et al.. (2006). Hedgehog Signaling and Bmi-1 Regulate Self-renewal of Normal and Malignant Human Mammary Stem Cells. Cancer Research. 66(12). 6063–6071. 986 indexed citations breakdown →
19.
Liu, Suling, et al.. (2006). Bmi-1 regulates self-renewal of normal and malignant human mammary stem cells. Cancer Research. 66. 938–938. 5 indexed citations
20.

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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