Peng Wu

4.7k total citations · 1 hit paper
97 papers, 1.7k citations indexed

About

Peng Wu is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Peng Wu has authored 97 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 19 papers in Oncology and 19 papers in Epidemiology. Recurrent topics in Peng Wu's work include Cervical Cancer and HPV Research (10 papers), Histone Deacetylase Inhibitors Research (7 papers) and RNA modifications and cancer (7 papers). Peng Wu is often cited by papers focused on Cervical Cancer and HPV Research (10 papers), Histone Deacetylase Inhibitors Research (7 papers) and RNA modifications and cancer (7 papers). Peng Wu collaborates with scholars based in China, United States and Australia. Peng Wu's co-authors include Ding Ma, Yifan Meng, Canhui Cao, Jianfeng Zhou, Wencheng Ding, Gang Chen, Qinglei Gao, Lingli Gui, Qin Yu and Hong Zhang and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Nature Communications.

In The Last Decade

Peng Wu

90 papers receiving 1.7k citations

Hit Papers

Advances in cervical cancer: current insights and future ... 2024 2026 2025 2024 10 20 30
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Advances in cervical cancer: current insights and future directions
    2024 34 citations Canhui Cao, Peng Wu et al. Cancer Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Wu China 24 809 386 347 304 264 97 1.7k
Wencheng Ding China 16 645 0.8× 271 0.7× 158 0.5× 249 0.8× 204 0.8× 55 1.2k
Tianmin Xu China 27 1.3k 1.6× 370 1.0× 280 0.8× 623 2.0× 492 1.9× 96 2.6k
Alma Chávez‐Blanco Mexico 24 1.2k 1.5× 344 0.9× 210 0.6× 331 1.1× 135 0.5× 70 2.0k
Dandan Wu China 19 481 0.6× 152 0.4× 232 0.7× 200 0.7× 509 1.9× 48 1.6k
Nima Hemmat Iran 20 481 0.6× 318 0.8× 184 0.5× 211 0.7× 395 1.5× 49 1.3k
Mahmood Yaseen Hachim United Arab Emirates 22 501 0.6× 281 0.7× 141 0.4× 173 0.6× 323 1.2× 101 1.4k
Shanling Liu China 26 1.2k 1.4× 298 0.8× 233 0.7× 472 1.6× 80 0.3× 150 2.1k
Chao Tu China 26 975 1.2× 285 0.7× 135 0.4× 484 1.6× 449 1.7× 117 2.3k
Chian‐Shiu Chien Taiwan 25 1.5k 1.9× 669 1.7× 151 0.4× 710 2.3× 527 2.0× 57 2.8k

Countries citing papers authored by Peng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Peng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Wu. A scholar is included among the top collaborators of Peng 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 Peng Wu. Peng 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.
Ho, Faith, Yun Lin, Eric H. Y. Lau, et al.. (2025). Retrospective assessment of vaccination policy optimizations during an Omicron BA.2 epidemic in Hong Kong: A modelling study. Journal of Infection and Public Health. 18(12). 102972–102972.
2.
Cao, Canhui, et al.. (2024). Advances in cervical cancer: current insights and future directions. Cancer Communications. 45(2). 77–109. 34 indexed citations breakdown →
3.
4.
Huang, Junchao, Liping Wang, Yuemei Wang, et al.. (2024). Hydrolysis of 2D Nanosheets Reverses Rheumatoid Arthritis Through Anti‐Inflammation and Osteogenesis. Advanced Materials. 37(7). e2415543–e2415543. 14 indexed citations
5.
Zhang, Hongtao, Peng Wu, Zhangfeng Zhong, et al.. (2024). Lubricating and Dual‐Responsive Injectable Hydrogels Formulated From ZIF‐8 Facilitate Osteoarthritis Treatment by Remodeling the Microenvironment. Small. 21(3). e2407885–e2407885. 15 indexed citations
6.
Hu, Ting, Liang He, Fan Yang, et al.. (2023). Testing for viral DNA integration among HPV‐positive women to detect cervical precancer: An observational cohort study. BJOG An International Journal of Obstetrics & Gynaecology. 131(3). 309–318. 12 indexed citations
7.
Jiao, Xin, et al.. (2023). Network pharmacology and bioinformatics analysis identifies potential therapeutic targets of Naringenin against COVID-19/LUSC. Frontiers in Endocrinology. 14. 1187882–1187882. 9 indexed citations
8.
Ye, Wei, Shitong Lin, Wenhua Zhi, et al.. (2023). Genomic analysis of cervical carcinoma identifies Alpelisib as a therapeutic option for PIK3CA‐mutant cervical carcinoma via the PI3K/AKT pathway. Journal of Medical Virology. 95(3). e28656–e28656. 14 indexed citations
9.
Liu, Xuemei, Hong Chen, Xiaobo Chen, Peng Wu, & Jianhua Zhang. (2023). Identification of Potential Targets and Mechanisms of Sinomenine in Allergic Rhinitis Treatment Based on Network Pharmacology and Molecular Docking. Critical Reviews in Immunology. 43(4). 1–10. 1 indexed citations
10.
Ye, Wei, Xiaoyu Liu, Shitong Lin, et al.. (2023). Single‐cell transcriptome analysis of the mouse and primate ovaries reveals oocyte‐specific expression patterns of risk genes in ovarian aging. SHILAP Revista de lepidopterología. 4(2). e209–e209. 5 indexed citations
11.
12.
Lin, Shitong, Yifan Meng, Canhui Cao, et al.. (2020). Comprehensive analysis of LDHAP5 pseudogene expression and potential pathogenesis in ovarian serous cystadenocarcinoma. Cancer Cell International. 20(1). 229–229. 6 indexed citations
13.
Wu, Peng, et al.. (2019). miR‐96‐5p regulates wound healing by targeting BNIP3/FAK pathway. Journal of Cellular Biochemistry. 120(8). 12904–12911. 19 indexed citations
14.
Li, Qing, Peng Wu, Zhou Zhu, Fang Yu, & Jing Tang. (2019). Tetramethylpyrazine improved the survival of multiterritory perforator flaps by inducing angiogenesis and suppressing apoptosis via the Akt/Nrf2 pathway. SHILAP Revista de lepidopterología. 1 indexed citations
15.
16.
17.
Ma, Xiaoli, Jia Liu, Jiang Wu, et al.. (2010). Synergistic Killing Effect between Vorinostat and Target of CD146 in Malignant Cells. Clinical Cancer Research. 16(21). 5165–5176. 11 indexed citations
18.
Shi, Xiaoyan, Ling Xi, Danhui Weng, et al.. (2008). Clinicopathological Significance of VEGF-C, VEGFR-3 and Cyclooxygenase-2 in Early-Stage Cervical Cancer.. Europe PMC (PubMed Central). 5 indexed citations
19.
Huang, Yanxia, et al.. (1996). A Survey of the Clinical Sequelae of Japanese Encephalitis. 12(2). 19–26. 8 indexed citations
20.
Huang, Yanxia, et al.. (1994). Investigation of an Outbreak of Hepatitis A in Su-Chi Village, Ilan County. 10(6). 79–90. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Wencheng Ding Breakdown of academic impact, for papers by Tianmin Xu Breakdown of academic impact, for papers by Alma Chávez‐Blanco Breakdown of academic impact, for papers by Dandan Wu Breakdown of academic impact, for papers by Nima Hemmat Breakdown of academic impact, for papers by Mahmood Yaseen Hachim Breakdown of academic impact, for papers by Shanling Liu Breakdown of academic impact, for papers by Chao Tu Breakdown of academic impact, for papers by Chian‐Shiu Chien
Rankless by CCL
2026