Peng Wu
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Obstetrics and Gynecology top 5%
Papers in
-
- Histone Deacetylase Inhibitors Research 7
- Ubiquitin and proteasome pathways 5
- Epigenetics and DNA Methylation 4
- Epidemiology 18
- Cervical Cancer and HPV Research 10
- Co-authors
- Canhui Cao (19 shared papers)Yifan Meng (14 shared papers)Ding Ma (21 shared papers)Jianfeng Zhou (16 shared papers)Wencheng Ding (13 shared papers)Gang Chen (12 shared papers)Qinglei Gao (8 shared papers)Lingli Gui (5 shared papers)
- Journals
- PLoS ONE (3 papers)Journal of Toxicology and Environmental Health (3 papers)Journal of Cancer (3 papers)Frontiers in Oncology (3 papers)Journal of Medical Virology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Peng Wu
90 papers receiving 1.7k citations
Peng Wu's Hit Papers
Peers
Comparison fields: 5 of 123
- Cancer Research 246
- Obstetrics and Gynecology 85
- Infectious Diseases 213
- Oncology 280
- Molecular Biology 684
Countries citing papers authored by Peng Wu
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
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-authors
The 25 scholars most cited alongside Peng Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 233 | |
| 2 | 2015 | 102 | |
| 3 | 2018 | 92 | |
| 4 | Advances in cervical cancer: current insights and future directions Hit paper breakdown → | 2024 | 51 |
| 5 | 2018 | 49 | |
| 6 | 2020 | 47 | |
| 7 | 2019 | 47 | |
| 8 | 2017 | 44 | |
| 9 | 2020 | 43 | |
| 10 | 2008 | 43 | |
| 11 | 2011 | 40 | |
| 12 | 2020 | 40 | |
| 13 | 2014 | 39 | |
| 14 | 2013 | 37 | |
| 15 | 2016 | 36 | |
| 16 | 2012 | 34 | |
| 17 | 2019 | 34 | |
| 18 | 2024 | 33 | |
| 19 | 2022 | 31 | |
| 20 | 2018 | 29 |
About Peng Wu
Peng Wu is a scholar working on Molecular Biology, Epidemiology, Oncology, Cancer Research and Surgery, having authored 96 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (10 papers), Histone Deacetylase Inhibitors Research (7 papers), Ubiquitin and proteasome pathways (5 papers), Virus-based gene therapy research (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Epigenetics and DNA Methylation (4 papers), Cancer-related molecular mechanisms research (4 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Cancer Research (246 citations), Obstetrics and Gynecology (85 citations), Infectious Diseases (213 citations), Oncology (280 citations) and Molecular Biology (684 citations). Peng Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Canhui Cao, Yifan Meng, Ding Ma, Jianfeng Zhou, Wencheng Ding, Gang Chen, Qinglei Gao, Lingli Gui, Qin Yu and Ping Wu. Their work appears in journals such as PLoS ONE, Journal of Toxicology and Environmental Health, Journal of Cancer, Frontiers in Oncology and Journal of Medical Virology.
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.