Yaping Wu

1.2k total citations
30 papers, 820 citations indexed

About

Yaping Wu is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Yaping Wu has authored 30 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 10 papers in Molecular Biology and 7 papers in Surgery. Recurrent topics in Yaping Wu's work include Cancer Immunotherapy and Biomarkers (8 papers), RNA modifications and cancer (3 papers) and interferon and immune responses (2 papers). Yaping Wu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (8 papers), RNA modifications and cancer (3 papers) and interferon and immune responses (2 papers). Yaping Wu collaborates with scholars based in China, United States and India. Yaping Wu's co-authors include Jie Cheng, Yanling Wang, Pengfei Diao, Boqi Liu, Junshi Chen, Rom S. Leidner, Richard Peto, Zhengming Chen, Jillian Boreham and Rong Huang and has published in prestigious journals such as Advanced Materials, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Yaping Wu

27 papers receiving 804 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yaping Wu China 17 337 251 195 104 101 30 820
Azadeh Andisheh‐Tadbir Iran 16 253 0.8× 227 0.9× 47 0.2× 198 1.9× 187 1.9× 78 883
Kyosuke Hatsushika Japan 16 162 0.5× 213 0.8× 224 1.1× 34 0.3× 74 0.7× 23 924
Talat Mirza Pakistan 14 189 0.6× 143 0.6× 43 0.2× 61 0.6× 86 0.9× 71 730
Young‐Ah Cho South Korea 15 259 0.8× 154 0.6× 97 0.5× 39 0.4× 122 1.2× 33 687
Wenjiao Zeng China 13 106 0.3× 228 0.9× 78 0.4× 29 0.3× 61 0.6× 26 606
Simona Eliza Giuşcă Romania 13 132 0.4× 229 0.9× 86 0.4× 18 0.2× 113 1.1× 82 811
Zengtong Zhou China 22 264 0.8× 579 2.3× 62 0.3× 364 3.5× 244 2.4× 65 1.6k
Bo Han China 19 183 0.5× 247 1.0× 24 0.1× 73 0.7× 173 1.7× 48 731
Keiko Aota Japan 16 155 0.5× 270 1.1× 150 0.8× 28 0.3× 84 0.8× 34 690

Countries citing papers authored by Yaping Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yaping Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaping Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Yaping Wu. A scholar is included among the top collaborators of Yaping 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 Yaping Wu. Yaping 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
1.
Zhang, Yang, et al.. (2025). Mapping the Evolving Trend and Prospect of Transoral Robotic Surgery: A Bibliometric Analysis. Journal of Craniofacial Surgery. 37(3/4). 620–626.
2.
Bao, Yuyan, Bing Hong, Kaiping Liu, et al.. (2025). Berberine derivative C51 modulates cGAS-STING-TIM-3 axis to reverse immune evasion and inhibit lung cancer growth. Cellular Signalling. 139. 112258–112258.
3.
4.
Wu, Yaping, Xiaowei Chang, Guizhu Yang, et al.. (2023). A Physiologically Responsive Nanocomposite Hydrogel for Treatment of Head and Neck Squamous Cell Carcinoma via Proteolysis‐Targeting Chimeras Enhanced Immunotherapy. Advanced Materials. 35(12). e2210787–e2210787. 81 indexed citations
5.
Wu, Qi, Lan Chen, Xiaojuan Huang, et al.. (2023). A biomimetic nanoplatform for customized photothermal therapy of HNSCC evaluated on patient-derived xenograft models. International Journal of Oral Science. 15(1). 9–9. 17 indexed citations
6.
Page, David B., Tracy L. Kelly, Alison Conlin, et al.. (2023). NeoIRX trial: Immunologic induction with peri-lymphatic cytokines to enhance pembrolizumab (pembro) response in stage II/III triple-negative breast cancer (TNBC).. Journal of Clinical Oncology. 41(16_suppl). 604–604. 3 indexed citations
7.
Leidner, Rom S., Marka R. Crittenden, Kristina H. Young, et al.. (2021). Neoadjuvant immunoradiotherapy results in high rate of complete pathological response and clinical to pathological downstaging in locally advanced head and neck squamous cell carcinoma. Journal for ImmunoTherapy of Cancer. 9(5). e002485–e002485. 120 indexed citations
8.
9.
Li, Jin, Zhongwu Li, Yaping Wu, et al.. (2019). Overexpression of lncRNA WWTR1‐AS1 associates with tumor aggressiveness and unfavorable survival in head‐neck squamous cell carcinoma. Journal of Cellular Biochemistry. 120(10). 18266–18277. 13 indexed citations
10.
Li, Jin, Zhongwu Li, Yaping Wu, et al.. (2019). The Hippo effector TAZ promotes cancer stemness by transcriptional activation of SOX2 in head neck squamous cell carcinoma. Cell Death and Disease. 10(8). 603–603. 48 indexed citations
11.
Diao, Pengfei, Yaping Wu, Han Ge, et al.. (2019). Preoperative circulating platelet, neutrophil, and lymphocyte counts predict survival in oral cancer. Oral Diseases. 25(4). 1057–1066. 23 indexed citations
12.
Zhang, Lijuan, et al.. (2019). Prevalence of Depression in Ankylosing Spondylitis: A Systematic Review and Meta-Analysis. Psychiatry Investigation. 16(8). 565–574. 21 indexed citations
13.
Baird, Jason R., R. Bryan Bell, Victoria Troesch, et al.. (2018). Evaluation of Explant Responses to STING Ligands: Personalized Immunosurgical Therapy for Head and Neck Squamous Cell Carcinoma. Cancer Research. 78(21). 6308–6319. 54 indexed citations
14.
15.
Zhou, Chen, Jin Li, Yaping Wu, et al.. (2018). High Density of Intratumor CD45RO+ Memory Tumor-Infiltrating Lymphocytes Predicts Favorable Prognosis in Patients With Oral Squamous Cell Carcinoma. Journal of Oral and Maxillofacial Surgery. 77(3). 536–545. 16 indexed citations
16.
Huang, Rong, Yaping Wu, Pengfei Diao, et al.. (2018). Overexpression of CDK7 is associated with unfavourable prognosis in oral squamous cell carcinoma. Pathology. 51(1). 74–80. 31 indexed citations
17.
Wu, Yaping, Wenjian Liu, Wenjun Zhong, et al.. (2017). Phenolic compounds from the stems of Flickingeria fimbriata. Natural Product Research. 31(13). 1518–1522. 23 indexed citations
18.
Zhang, Bin, et al.. (2016). Rib Composite Flap With Intercostal Nerve and Internal Thoracic Vessels for Mandibular Reconstruction. Journal of Craniofacial Surgery. 27(7). 1815–1818. 6 indexed citations
19.
Jiang, Jingmei, Junshi Chen, Junyao Li, et al.. (2006). Smoking and mortality from esophageal cancer in China: A large case‐control study of 19,734 male esophageal cancer deaths and 104,846 living spouse controls. International Journal of Cancer. 119(6). 1427–1432. 21 indexed citations
20.
Chen, Zhengming, Boqi Liu, Jillian Boreham, et al.. (2003). Smoking and liver cancer in China: Case‐control comparison of 36,000 liver cancer deaths vs. 17,000 cirrhosis deaths. International Journal of Cancer. 107(1). 106–112. 81 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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