Pingping Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
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- Cancer Immunotherapy and Biomarkers
- Saffron Plant Research Studies
Papers in
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- MicroRNA in disease regulation 2
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- Systemic Lupus Erythematosus Research 2
- Co-authors
- Jing Sun (5 shared papers)Yaqin Zhang (2 shared papers)Huayun Zhu (3 shared papers)Xiaohua Wang (2 shared papers)Xiaoning Li (1 shared paper)Nishant D. Patel (1 shared paper)Haijun Zhang (1 shared paper)Peng Wu (2 shared papers)
In The Last Decade
Pingping Wu
22 papers receiving 477 citations
Pingping Wu's Hit Papers
Peers
Comparison fields: 5 of 41
- Cancer Research 79
- Oncology 72
- Immunology 37
- Biomaterials 21
- Rheumatology 17
Countries citing papers authored by Pingping Wu
This map shows the geographic impact of Pingping 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 Pingping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingping Wu more than expected).
Fields of papers citing papers by Pingping Wu
This network shows the impact of papers produced by Pingping 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 Pingping Wu. The network helps show where Pingping Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingping 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 55 | |
| 2 | 2008 | 48 | |
| 3 | NNMT promotes acquired EGFR-TKI resistance by forming EGR1 and lactate-mediated double positive feedback loops in non-small cell lung cancer Hit paper breakdown → | 2025 | 39 |
| 4 | 2015 | 33 | |
| 5 | 2017 | 32 | |
| 6 | 2015 | 30 | |
| 7 | 2018 | 27 | |
| 8 | 2011 | 24 | |
| 9 | 2017 | 24 | |
| 10 | 2018 | 22 | |
| 11 | 2019 | 19 | |
| 12 | 2012 | 18 | |
| 13 | 2014 | 18 | |
| 14 | 2018 | 17 | |
| 15 | 2020 | 17 | |
| 16 | 2011 | 15 | |
| 17 | 2017 | 15 | |
| 18 | Restoration of DLC1 gene inhibits proliferation and migration of human colon cancer HT29 cells. | 2009 | 12 |
| 19 | 2017 | 12 | |
| 20 | 2016 | 4 |
About Pingping Wu
Pingping Wu is a scholar working on Cancer Research, Rheumatology, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 485 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (2 papers), Systemic Lupus Erythematosus Research (2 papers), MicroRNA in disease regulation (2 papers), Mechanisms of cancer metastasis (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Nanoparticle-Based Drug Delivery (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Cancer Research (79 citations), Oncology (72 citations), Immunology (37 citations), Biomaterials (21 citations) and Rheumatology (17 citations). Pingping Wu has collaborated with scholars based in China, Germany and Taiwan. Frequent co-authors include Jing Sun, Yaqin Zhang, Huayun Zhu, Xiaohua Wang, Xiaoning Li, Nishant D. Patel, Haijun Zhang, Peng Wu, Haijun Zhang and Xiaofang Sun. Their work appears in journals such as OncoTargets and Therapy, Immunology Letters, Frontiers in Oncology, British Journal of Pharmacology and Biochemical and Biophysical Research Communications.
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.