Ning Liao

819 total citations
16 papers, 256 citations indexed

About

Ning Liao is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Ning Liao has authored 16 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cancer Research, 8 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Ning Liao's work include Breast Cancer Treatment Studies (7 papers), Advanced Breast Cancer Therapies (4 papers) and HER2/EGFR in Cancer Research (3 papers). Ning Liao is often cited by papers focused on Breast Cancer Treatment Studies (7 papers), Advanced Breast Cancer Therapies (4 papers) and HER2/EGFR in Cancer Research (3 papers). Ning Liao collaborates with scholars based in China, United States and Germany. Ning Liao's co-authors include Guochun Zhang, Yulei Wang, Lingzhu Wen, Chongyang Ren, Bo Chen, Li Cao, Liping Guo, Xuerui Li, Xi Chen and Hailin Tang and has published in prestigious journals such as Annals of Oncology, Gene and The Oncologist.

In The Last Decade

Ning Liao

16 papers receiving 253 citations

Peers

Ning Liao
Laura Arthur United Kingdom
Shaheenah Dawood United Arab Emirates
K.C. Aalders Netherlands
Ji‐Hye Oh South Korea
Junjie Li China
Christine Vietz United States
Ning Liao
Citations per year, relative to Ning Liao Ning Liao (= 1×) peers Héctor Aquiles Maldonado-Martínez

Countries citing papers authored by Ning Liao

Since Specialization
Citations

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

Fields of papers citing papers by Ning Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Liao

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

All Works

16 of 16 papers shown
2.
Xu, Binghe, Huiping Li, Qingyuan Zhang, et al.. (2021). Pharmacokinetics, safety, activity, and biomarker analysis of palbociclib plus letrozole as first-line treatment for ER+/HER2– advanced breast cancer in Chinese women. Cancer Chemotherapy and Pharmacology. 88(1). 131–141. 11 indexed citations
3.
Xiao, Weikai, Guochun Zhang, Bo Chen, et al.. (2021). Mutational Landscape of PI3K-AKT-mTOR Pathway in Breast Cancer: Implications for Targeted Therapeutics. Journal of Cancer. 12(14). 4408–4417. 28 indexed citations
4.
Chen, Bo, Guochun Zhang, Guangnan Wei, et al.. (2020). Heterogeneity of genomic profile in patients with HER2-positive breast cancer. Endocrine Related Cancer. 27(3). 153–162. 26 indexed citations
5.
Guo, Liping, Bo Chen, Guochun Zhang, et al.. (2020). The transcription factor CBFB mutations indicate an improved survival in HR+/HER2- breast cancer. Gene. 759. 144970–144970. 3 indexed citations
6.
Zhu, Wenzhen, Chongyang Ren, Yulei Wang, et al.. (2020). <p>Prevalence of ESR1 Mutation in Chinese ER-Positive Breast Cancer</p>. OncoTargets and Therapy. Volume 13. 615–621. 6 indexed citations
7.
Ren, Guosheng, Erwei Song, Da Pan, et al.. (2020). Current Status and Factors Influencing Surgical Options for Breast Cancer in China: A Nationwide Cross-Sectional Survey of 110 Hospitals. The Oncologist. 25(10). e1473–e1480. 38 indexed citations
9.
Zhang, Guochun, Bo Chen, Yulei Wang, et al.. (2019). Association between histone lysine methyltransferase KMT2C mutation and clinicopathological factors in breast cancer. Biomedicine & Pharmacotherapy. 116. 108997–108997. 29 indexed citations
10.
Chen, Bo, Hailin Tang, Xi Chen, et al.. (2018). Transcriptomic analyses identify key differentially expressed genes and clinical outcomes between triple-negative and non-triple-negative breast cancer. Cancer Management and Research. Volume 11. 179–190. 38 indexed citations
11.
Zhang, Guochun, Yulei Wang, Chongyang Ren, et al.. (2018). Presence of circulating tumor cells is associated with metabolic-related variables in postoperative patients with early-stage breast cancer. Chinese Journal of Cancer Research. 30(3). 340–350. 6 indexed citations
12.
Shi, Yunlong, et al.. (2017). Higher MCTS1 mRNA level in breast cancer may associate with an unfavorable outcome. Annals of Oncology. 28. v94–v94. 1 indexed citations
15.
Zhang, Baoning, Xuchen Cao, Jiayi Chen, et al.. (2012). Guidelines on the diagnosis and treatment of breast cancer (2011 edition).. PubMed. 1(1). 39–61. 36 indexed citations
16.
Liu, Yan‐Hui, Fangping Xu, Ning Liao, et al.. (2010). Efficacy of intraoperative GeneSearch Breast Lymph Node (BLN) Assay for breast cancer metastasis detection in sentinel lymph node in Chinese patients. Cancer Science. 101(8). 1920–1924. 7 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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