Lingzhu Wen

617 total citations
24 papers, 341 citations indexed

About

Lingzhu Wen is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Lingzhu Wen has authored 24 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cancer Research, 13 papers in Molecular Biology and 11 papers in Oncology. Recurrent topics in Lingzhu Wen's work include Cancer Genomics and Diagnostics (11 papers), Breast Cancer Treatment Studies (6 papers) and Advanced Breast Cancer Therapies (5 papers). Lingzhu Wen is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), Breast Cancer Treatment Studies (6 papers) and Advanced Breast Cancer Therapies (5 papers). Lingzhu Wen collaborates with scholars based in China and United States. Lingzhu Wen's co-authors include Guochun Zhang, Chongyang Ren, Yulei Wang, Bo Chen, Li Cao, Cheukfai Li, Ning Liao, Hsiaopei Mok, Xuerui Li and Xiaohong Chen and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Gene.

In The Last Decade

Lingzhu Wen

24 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lingzhu Wen China 10 181 165 153 96 50 24 341
Borgny Ytterhus Norway 11 178 1.0× 125 0.8× 192 1.3× 53 0.6× 71 1.4× 23 370
Willemijne A.M.E. Schrijver Netherlands 11 286 1.6× 205 1.2× 135 0.9× 167 1.7× 65 1.3× 13 470
J-Y Pierga France 11 376 2.1× 183 1.1× 113 0.7× 135 1.4× 67 1.3× 53 479
Katrin Almstedt Germany 12 270 1.5× 119 0.7× 125 0.8× 95 1.0× 43 0.9× 33 403
Jorge E. Buendia-Buendia United States 5 238 1.3× 186 1.1× 265 1.7× 157 1.6× 16 0.3× 9 512
Lise Barlebo Ahlborn Denmark 12 105 0.6× 198 1.2× 118 0.8× 87 0.9× 20 0.4× 28 322
Hehui Fang China 7 186 1.0× 187 1.1× 229 1.5× 87 0.9× 22 0.4× 12 400
Daniela Boggiani Italy 9 195 1.1× 80 0.5× 81 0.5× 123 1.3× 29 0.6× 15 279
Teodora Goranova Bulgaria 10 129 0.7× 165 1.0× 136 0.9× 42 0.4× 16 0.3× 17 298
Birgit Wackwitz Germany 5 246 1.4× 116 0.7× 101 0.7× 91 0.9× 78 1.6× 7 331

Countries citing papers authored by Lingzhu Wen

Since Specialization
Citations

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

Fields of papers citing papers by Lingzhu Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingzhu Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Lingzhu Wen. A scholar is included among the top collaborators of Lingzhu Wen 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 Lingzhu Wen. Lingzhu Wen 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.
Liao, Ning, Cheukfai Li, Li Cao, et al.. (2022). Single-cell profile of tumor and immune cells in primary breast cancer, sentinel lymph node, and metastatic lymph node. Breast Cancer. 30(1). 77–87. 3 indexed citations
2.
Cao, Li, Chongyang Ren, Guochun Zhang, et al.. (2022). Characteristics of MYC Amplification and Their Association with Clinicopathological and Molecular Factors in Patients with Breast Cancer. DNA and Cell Biology. 41(5). 521–538. 5 indexed citations
3.
Li, Cheukfai, Chongyang Ren, Lingzhu Wen, et al.. (2022). Heterogenous and Low Expression of HER2 in Breast Cancer Overcome by DS-8201a in a Heavily Treated Patient: Case Report and Review of the Literature. Clinical Medicine Insights Oncology. 16. 1353193840–1353193840. 1 indexed citations
4.
Li, Yingzi, Bo Chen, Xiaoyi Lin, et al.. (2022). Clinicopathologic and Genomic Features in Triple-Negative Breast Cancer Between Special and No-Special Morphologic Pattern. Frontiers in Oncology. 12. 830124–830124. 4 indexed citations
5.
Li, Cheukfai, Chuanzhao Zhang, Guochun Zhang, et al.. (2022). YTHDF1 amplification is correlated with worse outcome and lower immune cell infiltrations in breast cancer. Cancer Biomarkers. 35(2). 127–142. 9 indexed citations
6.
Li, Kai, Li Cao, Cheukfai Li, et al.. (2022). Genomic alteration profile and PD‐L1 expression among different breast cancer subtypes in Chinese population and their correlations. Cancer Medicine. 12(5). 5195–5208. 2 indexed citations
7.
Jia, Minghan, Ning Liao, Bo Chen, et al.. (2021). PIK3CA somatic alterations in invasive breast cancers: different spectrum from Caucasians to Chinese detected by next generation sequencing. Breast Cancer. 28(3). 644–652. 8 indexed citations
8.
Xiao, Weikai, Guochun Zhang, Bo Chen, et al.. (2021). Characterization of Frequently Mutated Cancer Genes and Tumor Mutation Burden in Chinese Breast Cancer. Frontiers in Oncology. 11. 618767–618767. 18 indexed citations
9.
Wen, Lingzhu, Guochun Zhang, Chongyang Ren, et al.. (2021). Characterization of AKT Somatic Mutations in Chinese Breast Cancer Patients. Cancer Management and Research. Volume 13. 3055–3065. 5 indexed citations
10.
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
11.
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
12.
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
13.
Li, Xuerui, Xiaohong Chen, Lingzhu Wen, et al.. (2020). Impact ofTP53mutations in breast cancer: Clinicopathological features and prognosisImpact ofTP53mutations in breast CA. Thoracic Cancer. 11(7). 1861–1868. 10 indexed citations
14.
Cao, Li, Guochun Zhang, Yulei Wang, et al.. (2020). Abstract P5-08-22: Associations between MYC alterations and clinical pathological characteristics in Chinese patients and TCGA cohort. Cancer Research. 80(4_Supplement). P5–8. 1 indexed citations
15.
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
16.
Chen, Bo, Guochun Zhang, Xuerui Li, et al.. (2020). Comparison of BRCA versus non-BRCA germline mutations and associated somatic mutation profiles in patients with unselected breast cancer. Aging. 12(4). 3140–3155. 36 indexed citations
17.
18.
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
19.
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
20.
Liao, Ning, Shengli An, Xuerui Li, et al.. (2015). Inhibition of autophagy induced by PTEN loss promotes intrinsic breast cancer resistance to trastuzumab therapy. Tumor Biology. 37(4). 5445–5454. 18 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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