Wanying Guo

414 total citations
12 papers, 279 citations indexed

About

Wanying Guo is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Wanying Guo has authored 12 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Wanying Guo's work include HER2/EGFR in Cancer Research (3 papers), Cancer Cells and Metastasis (2 papers) and Breast Cancer Treatment Studies (2 papers). Wanying Guo is often cited by papers focused on HER2/EGFR in Cancer Research (3 papers), Cancer Cells and Metastasis (2 papers) and Breast Cancer Treatment Studies (2 papers). Wanying Guo collaborates with scholars based in China. Wanying Guo's co-authors include Miao Deng, Qipeng Liu, Xin Lu, Xuelei Zhang, Wei Xu, Leizhen Zheng, Peng Li, Ting Zhang, Peng Li and Peng Li and has published in prestigious journals such as PLoS ONE, Clinica Chimica Acta and Chemical Research in Toxicology.

In The Last Decade

Wanying Guo

12 papers receiving 278 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanying Guo China 9 202 83 72 52 29 12 279
Christopher Rossmann Austria 9 158 0.8× 51 0.6× 45 0.6× 77 1.5× 37 1.3× 11 220
D. Viñal Spain 10 166 0.8× 33 0.4× 88 1.2× 90 1.7× 45 1.6× 33 285
Trevor Feinstein United States 8 166 0.8× 52 0.6× 55 0.8× 73 1.4× 10 0.3× 27 248
Irene Papaspyrou Greece 9 106 0.5× 65 0.8× 96 1.3× 50 1.0× 19 0.7× 13 262
Gonzalo Giornelli Argentina 5 110 0.5× 52 0.6× 84 1.2× 36 0.7× 25 0.9× 8 421
Changjiang Qin China 10 114 0.6× 35 0.4× 152 2.1× 48 0.9× 25 0.9× 20 273
Myoung Won Son South Korea 10 101 0.5× 54 0.7× 68 0.9× 101 1.9× 15 0.5× 35 261
Shoujun Tang China 7 129 0.6× 86 1.0× 115 1.6× 128 2.5× 34 1.2× 11 287
Atsuro Saijo Japan 11 187 0.9× 50 0.6× 120 1.7× 141 2.7× 82 2.8× 28 374
Sara E. Martin del Campo United States 9 85 0.4× 92 1.1× 90 1.3× 44 0.8× 26 0.9× 19 284

Countries citing papers authored by Wanying Guo

Since Specialization
Citations

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

Fields of papers citing papers by Wanying Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanying Guo

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

All Works

12 of 12 papers shown
1.
Guo, Wanying, et al.. (2024). Benidipine Hydrochloride Inhibits NLRP3 Inflammasome Activation by Inhibiting LPS-Induced NF-κB Signaling in THP-1 Macrophages. Journal of Inflammation Research. Volume 17. 6307–6316. 1 indexed citations
2.
Jia, Zhiqiang, et al.. (2023). Prognostic and Clinical Significance of Human Leukocyte Antigen Class I Expression in Breast Cancer: A Meta-Analysis. Molecular Diagnosis & Therapy. 27(5). 573–582. 3 indexed citations
3.
Guo, Wanying, et al.. (2023). Pathological complete response and prognosis after neoadjuvant chemotherapy in patients with HER2-low breast cancer. Annals of Diagnostic Pathology. 64. 152125–152125. 6 indexed citations
4.
Zhang, Ting, et al.. (2022). NCAPH promotes proliferation as well as motility of breast cancer cells by activating the PI3K/AKT pathway. Physiology International. 109(3). 334–347. 9 indexed citations
5.
Wang, Wenhui, et al.. (2020). Prognostic and clinical significance of focal adhesion kinase expression in breast cancer: A systematic review and meta-analysis. Translational Oncology. 13(11). 100835–100835. 8 indexed citations
8.
Lu, Xin, et al.. (2018). Prognostic value of the Glasgow prognostic score in colorectal cancer: a meta-analysis of 9,839 patients. Cancer Management and Research. Volume 11. 229–249. 53 indexed citations
9.
Deng, Miao, et al.. (2018). Prognostic and clinicopathological value of CXCL12/SDF1 expression in breast cancer: A meta-analysis. Clinica Chimica Acta. 484. 72–80. 15 indexed citations
10.
Guo, Wanying, et al.. (2018). Prognostic and clinical significance of syndecan-1 expression in breast cancer: A systematic review and meta-analysis. European Journal of Surgical Oncology. 45(7). 1132–1137. 21 indexed citations
11.
Liu, Ruidong, Qipeng Liu, Ting Zhang, et al.. (2018). Prognostic and clinical significance of histone deacetylase 1 expression in breast cancer: A meta-analysis. Clinica Chimica Acta. 483. 209–215. 16 indexed citations
12.
Jia, Zhiqiang, Qipeng Liu, Ting Zhang, et al.. (2017). Prognostic and clinicopathological value of Twist expression in breast cancer: A meta-analysis. PLoS ONE. 12(10). e0186191–e0186191. 17 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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