Pingping Wu

632 total citations · 1 hit paper
23 papers, 507 citations indexed

About

Pingping Wu is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Pingping Wu has authored 23 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Immunology. Recurrent topics in Pingping Wu's work include Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Pingping Wu is often cited by papers focused on Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). Pingping Wu collaborates with scholars based in China, Germany and Taiwan. Pingping Wu's co-authors include Jing Sun, Qing Zhou, Yan Zhuang, Yaqin Zhang, Xiaohua Wang, Liuliu Zhang, Hua Zhu, Peilin Huang, Xiaoning Li and Guanghui Bai and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and British Journal of Pharmacology.

In The Last Decade

Pingping Wu

22 papers receiving 503 citations

Hit Papers

NNMT promotes acquired EGFR-TKI resistance by forming EGR... 2025 2026 2025 5 10 15
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. NNMT promotes acquired EGFR-TKI resistance by forming EGR1 and lactate-mediated double positive feedback loops in non-small cell lung cancer
    2025 17 citations Xiyi Lu, Chang Zhang et al. Molecular Cancer profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pingping Wu China 16 196 163 131 100 72 23 507
Jiayu Zhang China 14 233 1.2× 122 0.7× 90 0.7× 102 1.0× 91 1.3× 22 484
Vahid Karpisheh Iran 11 216 1.1× 156 1.0× 164 1.3× 101 1.0× 47 0.7× 19 500
Guanggai Xia China 12 216 1.1× 182 1.1× 91 0.7× 153 1.5× 49 0.7× 17 534
Baozhen Zeng China 11 246 1.3× 201 1.2× 143 1.1× 78 0.8× 92 1.3× 36 617
Yanfang Wang China 17 174 0.9× 176 1.1× 98 0.7× 50 0.5× 56 0.8× 31 577
Qie Guo China 13 209 1.1× 100 0.6× 72 0.5× 77 0.8× 89 1.2× 41 497
Heng Zheng United States 10 243 1.2× 116 0.7× 105 0.8× 98 1.0× 36 0.5× 14 535
Tomas Koltai Italy 10 225 1.1× 198 1.2× 70 0.5× 116 1.2× 47 0.7× 24 456
Igor Piotrowski Poland 13 191 1.0× 176 1.1× 70 0.5× 102 1.0× 41 0.6× 31 545

Countries citing papers authored by Pingping Wu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Pingping Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Pingping Wu. A scholar is included among the top collaborators of Pingping 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 Pingping Wu. Pingping 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.
Yin, Dandan, Xiyi Lu, Liang Xiao, et al.. (2025). STK11 genetic alterations in metastatic EGFR mutant lung cancer. Scientific Reports. 15(1). 5729–5729.
2.
Lu, Xiyi, Chang Zhang, Tianyu Qu, et al.. (2025). NNMT promotes acquired EGFR-TKI resistance by forming EGR1 and lactate-mediated double positive feedback loops in non-small cell lung cancer. Molecular Cancer. 24(1). 79–79. 17 indexed citations breakdown →
3.
Bai, Zhaoshi, et al.. (2021). QTMP, a Novel Thiourea Polymer, Causes DNA Damage to Exert Anticancer Activity and Overcome Multidrug Resistance in Colorectal Cancer Cells. Frontiers in Oncology. 11. 667689–667689. 2 indexed citations
4.
5.
6.
Zhang, Liuliu, et al.. (2019). Dual drug-loaded PLA nanoparticles bypassing drug resistance for improved leukemia therapy. Journal of Nanoparticle Research. 21(4). 19 indexed citations
7.
Guo, Peng-Da, et al.. (2018). Clinicopathological analysis of PD-L2 expression in colorectal cancer. OncoTargets and Therapy. Volume 11. 7635–7642. 20 indexed citations
8.
9.
Sun, Yanfang, Pingping Wu, Yang Sun, et al.. (2017). Lycorine possesses notable anticancer potentials in on-small cell lung carcinoma cells via blocking Wnt/β-catenin signaling and epithelial-mesenchymal transition (EMT). Biochemical and Biophysical Research Communications. 495(1). 911–921. 33 indexed citations
10.
Sun, Jing, Tao Hong, Xiaoning Li, et al.. (2017). Clinical significance of novel costimulatory molecule B7-H6 in human breast cancer. Oncology Letters. 14(2). 2405–2409. 21 indexed citations
11.
Xiang, Min, Runlin Yang, Yaqin Zhang, et al.. (2017). Effect of crocetin on vascular smooth muscle cells migration induced by advanced glycosylation end products. Microvascular Research. 112. 30–36. 13 indexed citations
12.
Sun, Jing, et al.. (2017). Reduced sB7-H3 Expression in the Peripheral Blood of Systemic Lupus Erythematosus Patients. Journal of Immunology Research. 2017. 1–8. 11 indexed citations
13.
14.
Sun, Jing, Xiaoning Li, Yaqin Zhang, et al.. (2014). B7-H3 expression in breast cancer and upregulation of VEGF through gene silence. OncoTargets and Therapy. 7. 1979–1979. 50 indexed citations
15.
Zhang, Haijun, Pingping Wu, & Li Shang. (2014). Design real-time reversal of tumor multidrug resistance cleverly with shortened carbon nanotubes. Drug Design Development and Therapy. 8. 2431–2431. 18 indexed citations
16.
Li, Nan, Xiaodong Bu, Peng Wu, Pingping Wu, & Peilin Huang. (2012). The “HER2–PI3K/Akt–FASN Axis” Regulated Malignant Phenotype of Colorectal Cancer Cells. Lipids. 47(4). 403–411. 18 indexed citations
17.
Wu, Pingping, et al.. (2011). Detection and clinical significance of DLC1 gene methylation in serum DNA from colorectal cancer patients. Chinese Journal of Cancer Research. 23(4). 283–287. 14 indexed citations
18.
Zhang, Ning, Pingping Wu, Lei Zhao, et al.. (2011). Anti‐tumour effects of small interfering RNA targeting anion exchanger 1 in experimental gastric cancer. British Journal of Pharmacology. 165(1). 135–147. 23 indexed citations
19.
Wu, Pingping, et al.. (2009). Restoration of DLC1 gene inhibits proliferation and migration of human colon cancer HT29 cells.. PubMed. 39(3). 263–9. 12 indexed citations
20.
Wu, Pingping, Jiang Wu, Shuxun Liu, et al.. (2008). TLR9/TLR7-triggered downregulation of BDCA2 expression on human plasmacytoid dendritic cells from healthy individuals and lupus patients. Clinical Immunology. 129(1). 40–48. 39 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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