Pingping Wu
Impact in
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- MicroRNA in disease regulation
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Oncology 8
- Cancer Immunotherapy and Biomarkers 3
- Drug Transport and Resistance Mechanisms 2
- Cancer-related Molecular Pathways 2
- CAR-T cell therapy research 2
- Co-authors
- Huayun Zhu (4 shared papers)Jing Sun (5 shared papers)Qing Zhou (2 shared papers)Jun Bao (1 shared paper)Yan Zhuang (1 shared paper)Yaqin Zhang (2 shared papers)Xiaohua Wang (2 shared papers)Liuliu Zhang (2 shared papers)
In The Last Decade
Pingping Wu
23 papers receiving 535 citations
Pingping Wu's Hit Papers
Peers
Comparison fields: 5 of 77
- Cancer Research 91
- Immunology 121
- Oncology 144
- Biomaterials 71
- Pharmaceutical Science 18
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 77 | |
| 2 | 2014 | 52 | |
| 3 | 2008 | 45 | |
| 4 | 2017 | 33 | |
| 5 | 2015 | 33 | |
| 6 | 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 | 31 |
| 7 | 2015 | 30 | |
| 8 | 2018 | 27 | |
| 9 | 2011 | 24 | |
| 10 | 2018 | 22 | |
| 11 | 2017 | 21 | |
| 12 | 2019 | 19 | |
| 13 | 2014 | 18 | |
| 14 | 2012 | 18 | |
| 15 | 2020 | 17 | |
| 16 | 2018 | 17 | |
| 17 | 2011 | 15 | |
| 18 | 2017 | 14 | |
| 19 | Restoration of DLC1 gene inhibits proliferation and migration of human colon cancer HT29 cells. | 2009 | 12 |
| 20 | 2017 | 11 |
About Pingping Wu
Pingping Wu is a scholar working on Oncology, Molecular Biology, Immunology, Cancer Research and Organic Chemistry, having authored 23 papers that have together received 543 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Cancer-related Molecular Pathways (2 papers), CAR-T cell therapy research (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Cancer Research (91 citations), Immunology (121 citations), Oncology (144 citations), Biomaterials (71 citations) and Pharmaceutical Science (18 citations). Pingping Wu has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Huayun Zhu, Jing Sun, Qing Zhou, Jun Bao, Yan Zhuang, Yaqin Zhang, Xiaohua Wang, Liuliu Zhang, Guanghui Bai and Xiaoning Li. Their work appears in journals such as OncoTargets and Therapy, Molecular Cancer, Microvascular Research, Biochemical and Biophysical Research Communications and Frontiers in Oncology.
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.