Wenna Guo

823 total citations
33 papers, 527 citations indexed

About

Wenna Guo is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wenna Guo has authored 33 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Cancer Research and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wenna Guo's work include Ferroptosis and cancer prognosis (10 papers), Cancer-related molecular mechanisms research (9 papers) and Epigenetics and DNA Methylation (8 papers). Wenna Guo is often cited by papers focused on Ferroptosis and cancer prognosis (10 papers), Cancer-related molecular mechanisms research (9 papers) and Epigenetics and DNA Methylation (8 papers). Wenna Guo collaborates with scholars based in China, Hong Kong and Canada. Wenna Guo's co-authors include Liucun Zhu, Shanshan Ma, Fangxia Guan, Rui Zhu, Xin‐Jian Xu, Qiang Wang, Qihan Chen, Yueping Zhan, Yifu Wang and Qianqian Wang and has published in prestigious journals such as Nature Communications, Chemical Communications and Scientific Reports.

In The Last Decade

Wenna Guo

33 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenna Guo China 13 361 222 118 72 49 33 527
Tommaso Colangelo Italy 14 376 1.0× 300 1.4× 82 0.7× 115 1.6× 74 1.5× 27 637
Melissa M. Keenan United States 9 408 1.1× 230 1.0× 134 1.1× 67 0.9× 31 0.6× 9 578
Zhicheng Gong China 12 350 1.0× 136 0.6× 66 0.6× 96 1.3× 33 0.7× 26 490
Yantong Guo China 14 308 0.9× 154 0.7× 67 0.6× 103 1.4× 57 1.2× 26 535
Zhen Cai China 7 475 1.3× 149 0.7× 48 0.4× 81 1.1× 62 1.3× 9 593
Chong Zeng China 15 387 1.1× 173 0.8× 136 1.2× 53 0.7× 86 1.8× 34 560
Ana Galan Cobo Spain 9 348 1.0× 129 0.6× 141 1.2× 106 1.5× 42 0.9× 14 504
Chengpeng Yu China 14 318 0.9× 133 0.6× 67 0.6× 107 1.5× 84 1.7× 24 538
Shilpy Joshi United States 8 291 0.8× 136 0.6× 63 0.5× 55 0.8× 34 0.7× 13 415
Christalle C. T. Chow Japan 6 368 1.0× 284 1.3× 64 0.5× 113 1.6× 46 0.9× 8 549

Countries citing papers authored by Wenna Guo

Since Specialization
Citations

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

Fields of papers citing papers by Wenna Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenna Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Wenna Guo. A scholar is included among the top collaborators of Wenna 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 Wenna Guo. Wenna Guo 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.
Guo, Wenna, et al.. (2025). Atomic-scale interface engineering in Bi/Bi2O3 heterojunctions for selective CO2 photoreduction to methanol. Nature Communications. 17(1). 983–983. 1 indexed citations
2.
Zhao, Hua, Jingmei Liu, Chenghao Li, et al.. (2025). Glucose-triggered NIR-responsive photothermal antibacterial gelatin/dextran hydrogel simultaneously targeting the high glucose and infection microenvironment in diabetic wound. International Journal of Biological Macromolecules. 300. 140325–140325. 5 indexed citations
3.
Wang, Xue, et al.. (2025). Advances in Immunotherapy and Targeted Therapy of Malignant Melanoma. Biomedicines. 13(1). 225–225. 4 indexed citations
4.
Wang, Xue, et al.. (2024). Exploring the Role of DNA Methylation Located in Cuproptosis-Related Genes: Implications for Prognosis and Immune Landscape in Hepatocellular Carcinoma. Frontiers in Bioscience-Landmark. 29(3). 123–123. 9 indexed citations
5.
Zhu, Liucun, et al.. (2024). Cuproptosis-related gene-located DNA methylation in lower-grade glioma: Prognosis and tumor microenvironment. Cancer Biomarkers. 40(2). 185–198. 2 indexed citations
6.
Zhu, Liucun, et al.. (2024). Cuproptosis-related DNA methylation signature predict prognosis and immune microenvironment in cutaneous melanoma. Discover Oncology. 15(1). 228–228. 2 indexed citations
7.
Guo, Wenna, Xue Wang, Yanting Zhang, et al.. (2023). Construction and validation of a novel prognostic signature for cutaneous melanoma based on ferroptosis-related genes. Heliyon. 9(5). e15725–e15725. 1 indexed citations
8.
Zhu, Rui, Xue Wang, Qi Yu, Wenna Guo, & Liucun Zhu. (2023). A systems biology‐based approach to screen key splicing factors in hepatocellular carcinoma. Molecular Carcinogenesis. 62(8). 1107–1118. 2 indexed citations
9.
Guo, Wenna, et al.. (2022). Identification and Validation of Ferroptosis-Related DNA Methylation Signature for Predicting the Prognosis and Guiding the Treatment in Cutaneous Melanoma. International Journal of Molecular Sciences. 23(24). 15677–15677. 8 indexed citations
10.
Li, Ya, Minglei Yang, Yingying Wang, et al.. (2021). YAP/TEAD4‐induced KIF4A contributes to the progression and worse prognosis of esophageal squamous cell carcinoma. Molecular Carcinogenesis. 60(7). 440–454. 15 indexed citations
11.
Zhu, Rui, et al.. (2020). Prognostic Value of a Three-DNA Methylation Biomarker in Patients with Soft Tissue Sarcoma. Journal of Oncology. 2020. 1–11. 2 indexed citations
12.
Zhu, Rui, Wenna Guo, Xin‐Jian Xu, & Liucun Zhu. (2020). An Integrating Immune-Related Signature to Improve Prognosis of Hepatocellular Carcinoma. Computational and Mathematical Methods in Medicine. 2020. 1–13. 10 indexed citations
13.
Cui, Yuanbo, Wenna Guo, Ya Li, et al.. (2020). Pan-cancer analysis identifies ESM1 as a novel oncogene for esophageal cancer. Esophagus. 18(2). 326–338. 28 indexed citations
15.
Zhu, Rui, et al.. (2019). An eight-mRNA signature predicts the prognosis of patients with bladder urothelial carcinoma. PeerJ. 7. e7836–e7836. 3 indexed citations
16.
Guo, Wenna, et al.. (2018). A five-DNA methylation signature act as a novel prognostic biomarker in patients with ovarian serous cystadenocarcinoma. Clinical Epigenetics. 10(1). 142–142. 44 indexed citations
17.
Guo, Wenna, et al.. (2016). Melanoma long non-coding RNA signature predicts prognostic survival and directs clinical risk-specific treatments. Journal of Dermatological Science. 85(3). 226–234. 31 indexed citations
18.
Guo, Wenna, Qiang Wang, Yueping Zhan, et al.. (2016). Transcriptome sequencing uncovers a three–long noncoding RNA signature in predicting breast cancer survival. Scientific Reports. 6(1). 27931–27931. 61 indexed citations
19.
Guo, Wenna, Ying Zhang, Yueping Zhan, et al.. (2015). High-throughput sequencing and degradome analysis reveal neutral evolution of Cercis gigantea microRNAs and their targets. Planta. 243(1). 83–95. 10 indexed citations
20.
Zhu, Liucun, et al.. (2014). De NovoAssembly and Characterization ofSophora japonicaTranscriptome Using RNA-seq. BioMed Research International. 2014. 1–9. 16 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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