Ruting Xie

1.1k total citations · 2 hit papers
38 papers, 778 citations indexed

About

Ruting Xie is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ruting Xie has authored 38 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 14 papers in Cancer Research and 11 papers in Oncology. Recurrent topics in Ruting Xie's work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers) and Circular RNAs in diseases (9 papers). Ruting Xie is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers) and Circular RNAs in diseases (9 papers). Ruting Xie collaborates with scholars based in China, United States and Hong Kong. Ruting Xie's co-authors include Dexi Bi, Huiqiong Yang, Jiayi Zheng, Qing Wei, Huanlong Qin, Yaohui Gao, Yu‐Shui Ma, Da Fu, Hu Liu and Gai‐Xia Lu and has published in prestigious journals such as Nature Communications, Nano Letters and PLoS ONE.

In The Last Decade

Ruting Xie

34 papers receiving 776 citations

Hit Papers

Fusobacterium nucleatum enhances the efficacy of PD-L1 bl... 2021 2026 2022 2024 2021 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruting Xie China 18 499 263 197 85 79 38 778
Yanru Ma China 12 664 1.3× 324 1.2× 161 0.8× 98 1.2× 89 1.1× 18 930
Kunning Wang China 6 718 1.4× 249 0.9× 264 1.3× 33 0.4× 91 1.2× 8 891
Yaya Yu China 12 427 0.9× 336 1.3× 322 1.6× 130 1.5× 126 1.6× 25 871
Lang Zha China 15 414 0.8× 272 1.0× 123 0.6× 45 0.5× 72 0.9× 25 605
Jun Shang China 17 496 1.0× 267 1.0× 194 1.0× 92 1.1× 230 2.9× 48 902
Cong Liang China 12 598 1.2× 221 0.8× 176 0.9× 97 1.1× 50 0.6× 29 864
Sanjun Cai China 7 662 1.3× 178 0.7× 274 1.4× 75 0.9× 102 1.3× 8 960
Shan Lei China 14 448 0.9× 348 1.3× 92 0.5× 54 0.6× 107 1.4× 46 665
Chenliang Wang China 15 461 0.9× 355 1.3× 332 1.7× 179 2.1× 115 1.5× 28 947

Countries citing papers authored by Ruting Xie

Since Specialization
Citations

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

Fields of papers citing papers by Ruting Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruting Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Ruting Xie. A scholar is included among the top collaborators of Ruting Xie 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 Ruting Xie. Ruting Xie 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.
Wu, Yuli, Youhua Zhang, Hao Li, et al.. (2025). Fusobacterium lineage profiling facilitates the clarification of the associations between non-nucleatum Fusobacterium and colorectal cancer. npj Biofilms and Microbiomes. 11(1). 197–197.
2.
Chang, Le, et al.. (2025). Single-cell RNA sequencing and multi-omics analysis of prognosis-related staging in papillary thyroid cancer. Cancer Immunology Immunotherapy. 74(8). 267–267.
3.
Kong, Cheng, et al.. (2024). The past, present, and future of tumour deposits in colorectal cancer: Advancing staging for improved prognosis and treatment decision‐making. Journal of Cellular and Molecular Medicine. 28(16). e18562–e18562. 1 indexed citations
4.
Chang, Zhengyan, Runzhi Huang, Zhenyu Li, et al.. (2024). Modulation of SRC by SNTB1 activates the Hippo-YAP pathway during colon adenocarcinoma metastasis. Journal of Translational Medicine. 22(1). 1029–1029.
5.
Zhu, Huiyuan, Man Li, Dexi Bi, et al.. (2024). Fusobacterium nucleatum promotes tumor progression in KRAS p.G12D-mutant colorectal cancer by binding to DHX15. Nature Communications. 15(1). 1688–1688. 49 indexed citations breakdown →
6.
Lü, Ling, Yaohui Gao, Dengfeng Huang, et al.. (2023). Targeting integrin α5 in fibroblasts potentiates colorectal cancer response to PD-L1 blockade by affecting extracellular-matrix deposition. Journal for ImmunoTherapy of Cancer. 11(12). e007447–e007447. 17 indexed citations
7.
Zhu, Huiyuan, Qianyu Li, Huiqiong Yang, et al.. (2023). RIG‐I contributes to keratinocyte proliferation and wound repair by inducing TIMP‐1 expression through NF‐κB signaling pathway. Journal of Cellular Physiology. 238(8). 1876–1890. 5 indexed citations
8.
Li, Man, Qunqun Bao, Jing Guo, et al.. (2022). Low Colorectal Tumor Removal by E-Cadherin Destruction-Enabled Tumor Cell Dissociation. Nano Letters. 22(7). 2769–2779. 17 indexed citations
10.
Bi, Dexi, Yin Zhu, Yaohui Gao, et al.. (2022). Profiling Fusobacterium infection at high taxonomic resolution reveals lineage-specific correlations in colorectal cancer. Nature Communications. 13(1). 3336–3336. 22 indexed citations
11.
Zhang, Youhua, Ruting Xie, Hailong Zhang, et al.. (2021). Integrin β7 Inhibits Colorectal Cancer Pathogenesis via Maintaining Antitumor Immunity. Cancer Immunology Research. 9(8). 967–980. 18 indexed citations
12.
Bi, Dexi, Yin Zhu, Yaohui Gao, et al.. (2021). A newly developed PCR‐based method revealed distinct Fusobacterium nucleatum subspecies infection patterns in colorectal cancer. Microbial Biotechnology. 14(5). 2176–2186. 25 indexed citations
13.
Dai, Jiaqi, Xiaqing Yu, Yali Han, et al.. (2020). TMT-labeling Proteomics of Papillary Thyroid Carcinoma Reveal Invasive Biomarkers. Journal of Cancer. 11(20). 6122–6132. 19 indexed citations
14.
Ma, Yu‐Shui, Xiaofeng Wang, Yunjie Zhang, et al.. (2020). Inhibition of USP14 Deubiquitinating Activity as a Potential Therapy for Tumors with p53 Deficiency. Molecular Therapy — Oncolytics. 16. 147–157. 26 indexed citations
15.
Xie, Ruting, Yongzhi Yang, Huizhen Zhang, et al.. (2019). c-Myb and its Effector COX-2 as an Indicator Associated with Prognosis and Therapeutic Outcome in Colorectal Cancer. Journal of Cancer. 10(7). 1601–1610. 4 indexed citations
16.
Lu, Ling, Ruting Xie, Rong Wei, et al.. (2019). Integrin α5 subunit is required for the tumor supportive role of fibroblasts in colorectal adenocarcinoma and serves as a potential stroma prognostic marker. Molecular Oncology. 13(12). 2697–2714. 25 indexed citations
17.
18.
Ma, Yu‐Shui, Huiqiong Yang, Shaobo Xue, et al.. (2018). Reduced hsa-miR-124-3p levels are associated with the poor survival of patients with hepatocellular carcinoma. Molecular Biology Reports. 45(6). 2615–2623. 40 indexed citations
19.
Luo, Ping, Gai‐Xia Lu, Linlin Fan, et al.. (2017). Dysregulation of TMPRSS3 and TNFRSF11B correlates with tumorigenesis and poor prognosis in patients with breast cancer. Oncology Reports. 37(4). 2057–2062. 19 indexed citations
20.
Han, Yang, Chengyou Jia, Xianling Cong, et al.. (2015). Increased Expression of TGFβR2 Is Associated with the Clinical Outcome of Non-Small Cell Lung Cancer Patients Treated with Chemotherapy. PLoS ONE. 10(8). e0134682–e0134682. 13 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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