Wenhan Wu

638 total citations
27 papers, 513 citations indexed

About

Wenhan Wu is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Wenhan Wu has authored 27 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Surgery and 9 papers in Cancer Research. Recurrent topics in Wenhan Wu's work include Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Wenhan Wu is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Wenhan Wu collaborates with scholars based in China and United States. Wenhan Wu's co-authors include Jia He, Youfei Guan, Wen Su, Chunjiong Wang, Xiaoyan Zhang, Xiaozhi Liu, Xiaofang Ma, Zhongmin Jiang, Jiaqi Cao and Zong‐Guang Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Hepatology.

In The Last Decade

Wenhan Wu

24 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenhan Wu China 10 240 166 89 89 84 27 513
Jerry Angdisen United States 12 300 1.3× 161 1.0× 187 2.1× 91 1.0× 73 0.9× 23 583
Ju-Qiong Wang China 8 244 1.0× 103 0.6× 149 1.7× 60 0.7× 102 1.2× 8 513
Yanchao Jiang United States 16 281 1.2× 176 1.1× 42 0.5× 50 0.6× 83 1.0× 36 760
Núria Matías Spain 8 233 1.0× 285 1.7× 65 0.7× 88 1.0× 63 0.8× 12 562
Silke Marhenke Germany 15 415 1.7× 297 1.8× 111 1.2× 78 0.9× 94 1.1× 22 806
Juan L. García‐Rodríguez Denmark 10 298 1.2× 171 1.0× 54 0.6× 55 0.6× 103 1.2× 20 511
Hisato Maekawa Japan 10 293 1.2× 129 0.8× 84 0.9× 50 0.6× 41 0.5× 19 570
Jingjing Wu China 14 309 1.3× 55 0.3× 45 0.5× 63 0.7× 112 1.3× 27 535
Shujian Wei China 11 183 0.8× 85 0.5× 52 0.6× 49 0.6× 88 1.0× 22 488

Countries citing papers authored by Wenhan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Wenhan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenhan Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Wenhan Wu. A scholar is included among the top collaborators of Wenhan Wu 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 Wenhan Wu. Wenhan Wu 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
2.
Wu, Wenhan, et al.. (2025). The performance of the pediatric appendicitis score (PAS) in predicting complicated acute appendicitis. Asian Journal of Surgery. 48(11). 6943–6944.
3.
Wu, Wenhan, et al.. (2025). Can the Alvarado score predict complicated acute appendicitis? A systematic review and meta-analysis. The American Journal of Emergency Medicine. 92. 250–252. 1 indexed citations
4.
Zheng, Jie, Jin Liu, Yanxia Li, et al.. (2024). Pan-cancer analyses reveal the molecular and clinical characteristics of TET family members and suggests that TET3 maybe a potential therapeutic target. Frontiers in Pharmacology. 15. 1418456–1418456. 5 indexed citations
5.
Jiang, Zhongmin, et al.. (2023). Detection of CSTF2 by nano fluorescent probe and its correlation with malignant biological characteristics in liver cancer. PubMed Central.
6.
Wu, Wenhan & Jia He. (2023). Unveiling the functional paradigm of exosome-derived long non-coding RNAs (lncRNAs) in cancer: based on a narrative review and systematic review. Journal of Cancer Research and Clinical Oncology. 149(16). 15219–15247. 2 indexed citations
7.
Wu, Wenhan, Shijian Zhang, & Jia He. (2022). The Mechanism of Long Non-coding RNA in Cancer Radioresistance/Radiosensitivity: A Systematic Review. Frontiers in Pharmacology. 13. 879704–879704. 23 indexed citations
8.
9.
He, Jia & Wenhan Wu. (2022). A glimpse of research cores and frontiers on the relationship between long noncoding RNAs (lncRNAs) and colorectal cancer (CRC) using the VOSviewer tool. Scandinavian Journal of Gastroenterology. 58(3). 254–263. 2 indexed citations
10.
Wu, Wenhan, et al.. (2022). Basic demographic characteristics and prevalence of comorbidities in acute mesenteric ischemia: a systematic review and proportional meta-analysis. Scandinavian Journal of Gastroenterology. 58(6). 605–618. 7 indexed citations
11.
Wu, Wenhan & Zong‐Guang Zhou. (2021). A Comprehensive Way to Access Hospital Death Prediction Model for Acute Mesenteric Ischemia: A Combination of Traditional Statistics and Machine Learning. International Journal of General Medicine. Volume 14. 591–602. 6 indexed citations
12.
Wu, Wenhan, Lie Yang, & Zong‐Guang Zhou. (2020). <p>Clinical Features and Factors Affecting Postoperative Mortality for Obstructive Acute Mesenteric Ischemia in China: A Hospital- Based Survey</p>. Vascular Health and Risk Management. Volume 16. 479–487. 9 indexed citations
13.
Zeng, Feng, Jianfu Heng, Xinwu Guo, et al.. (2020). The novel TP53 3′-end methylation pattern associated with its expression would be a potential biomarker for breast cancer detection. Breast Cancer Research and Treatment. 180(1). 237–245. 3 indexed citations
14.
Jiang, Zhongmin, Chunyan Zhang, Xiaozhi Liu, et al.. (2020). Dexamethasone inhibits stemness maintenance and enhances chemosensitivity of hepatocellular carcinoma stem cells by inducing deSUMOylation of HIF‑1α and Oct4. International Journal of Oncology. 57(3). 780–790. 14 indexed citations
15.
Wu, Wenhan, Jianbo Liu, & Zong‐Guang Zhou. (2020). Preoperative Risk Factors for Short-Term Postoperative Mortality of Acute Mesenteric Ischemia after Laparotomy: A Systematic Review and Meta-Analysis. Emergency Medicine International. 2020. 1–12. 11 indexed citations
16.
Zhang, Chunyan, Zhongmin Jiang, Xiaofang Ma, et al.. (2019). Saikosaponin-d Inhibits the Hepatoma Cells and Enhances Chemosensitivity Through SENP5-Dependent Inhibition of Gli1 SUMOylation Under Hypoxia. Frontiers in Pharmacology. 10. 1039–1039. 43 indexed citations
17.
Heng, Jianfu, Xinwu Guo, Wenhan Wu, et al.. (2017). Integrated analysis of promoter mutation, methylation and expression of AKT1 gene in Chinese breast cancer patients. PLoS ONE. 12(3). e0174022–e0174022. 9 indexed citations
18.
Wang, Chunjiong, Yujing Chi, Jing Li, et al.. (2013). FAM3A Activates PI3K p110α/Akt Signaling to Ameliorate Hepatic Gluconeogenesis and Lipogenesis. Hepatology. 59(5). 1779–1790. 98 indexed citations
19.
Gao, Qingxiang, et al.. (2012). Factors associated with post-pancreaticoduodenectomy hemorrhage: 303 consecutive cases analysis.. PubMed. 125(9). 1571–5. 8 indexed citations
20.
Yang, Yinmo, et al.. (2009). Expression and regulation of hedgehog signaling pathway in pancreatic cancer. Langenbeck s Archives of Surgery. 395(5). 515–525. 21 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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