Zhening Pu

458 total citations
22 papers, 220 citations indexed

About

Zhening Pu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Zhening Pu has authored 22 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Zhening Pu's work include RNA modifications and cancer (6 papers), Cancer Genomics and Diagnostics (6 papers) and Cancer-related Molecular Pathways (3 papers). Zhening Pu is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer Genomics and Diagnostics (6 papers) and Cancer-related Molecular Pathways (3 papers). Zhening Pu collaborates with scholars based in China, United States and United Kingdom. Zhening Pu's co-authors include Hongxia Ma, Guangfu Jin, Hongbing Shen, Na Qin, Zhibin Hu, Juncheng Dai, Lingli Gong, Ni Li, Jian Zou and Meng Zhu and has published in prestigious journals such as Analytical Chemistry, Advanced Science and Journal of Animal Science.

In The Last Decade

Zhening Pu

21 papers receiving 220 citations

Peers

Zhening Pu

GENET

PRM

SURGE

Hermioni Zouridis United States

Olivier Le Tonquèze United States

Adam Mil-Homens United States

Ji-Feng Xiang China

Samuel E. Harvey United States

Sueva Cantalupo Italy

Kwoneel Kim South Korea

Karolína Trachtová Czechia

Hermioni Zouridis United States

Zhening Pu

253 ×1.5

60 ×0.7

34 ×1.1

GENET

43 ×1.5

PRM

43 ×1.8

SURGE

Citations per year, relative to Zhening Pu Zhening Pu (= 1×) peers Hermioni Zouridis

Countries citing papers authored by Zhening Pu

Since Specialization

Citations

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

Fields of papers citing papers by Zhening Pu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhening Pu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhening Pu. A scholar is included among the top collaborators of Zhening Pu 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 Zhening Pu. Zhening Pu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pu, Zhening, et al.. (2025). Highly Sensitive and Multiplexed Detection of Low-Frequency Mutation in Fragmented ctDNA by a Dual-Role Mediator Blocker Amplification Strategy. Analytical Chemistry. 97(40). 22407–22417.

Jiao, Meng, Wei Qian, Zhenkun Yang, et al.. (2024). p53/E2F7 axis promotes temozolomide chemoresistance in glioblastoma multiforme. BMC Cancer. 24(1). 317–317. 7 indexed citations

Gong, Lingli, W. F. Mader, Zhening Pu, et al.. (2024). Smad1 Promotes Tumorigenicity and Chemoresistance of Glioblastoma by Sequestering p300 From p53. Advanced Science. 12(4). e2402258–e2402258. 3 indexed citations

Liu, Zhaocheng, Ji Li, Lingli Gong, et al.. (2023). Identification of DNA variants at ultra-low variant allele frequencies via Taq polymerase cleavage of wild-specific blockers. Analytical and Bioanalytical Chemistry. 415(26). 6537–6549. 2 indexed citations

Zhang, Rui, Yuxuan Zhang, Ji Li, et al.. (2023). Hairpin amplicon cleavage PCR (HAC-PCR): A novel, highly sensitive and cost-effective approach for detection of low-frequency DNA mutations. Microchemical Journal. 196. 109654–109654. 1 indexed citations

Qian, Wei, Zhenkun Yang, Zhenghao Zhang, et al.. (2023). Acetylation halts missense mutant p53 aggregation and rescues tumor suppression in non-small cell lung cancers. iScience. 26(7). 107003–107003. 7 indexed citations

Liu, Zhaocheng, Xixi Jiang, Ji Li, et al.. (2023). Highly Sensitive Enrichment of Low-Frequency Variants by Hairpin Competition Amplification. Analytical Chemistry. 95(32). 12015–12023. 7 indexed citations

Zhang, Chang, Qi Sun, Xu Zhang, et al.. (2022). Gene amplification‐driven RNA methyltransferase KIAA1429 promotes tumorigenesis by regulating BTG2 via m6A‐YTHDF2‐dependent in lung adenocarcinoma. Cancer Communications. 42(7). 609–626. 51 indexed citations

Gong, Lingli, Ying Yin, Chen Cheng, et al.. (2022). Characterization of EGFR-reprogrammable temozolomide-resistant cells in a model of glioblastoma. Cell Death Discovery. 8(1). 438–438. 12 indexed citations

10.

Hu, Yaling, Zhenghao Zhang, Jingjing Wang, et al.. (2021). Oncogenic Activity of Glucocorticoid Receptor β Is Controlled by Ubiquitination-Dependent Interaction with USP49 in Glioblastoma Cells. Molecular Cancer Research. 20(1). 92–101. 9 indexed citations

11.

Feng, Yuyang, Surui Yao, Zhening Pu, et al.. (2021). Identification of New Tumor-Related Gene Mutations in Chinese Gastrointestinal Stromal Tumors. Frontiers in Cell and Developmental Biology. 9. 764275–764275. 4 indexed citations

12.

Pu, Zhening, Jiaqi Xu, Lu Yao, et al.. (2020). Multiplex immunoassays reveal increased serum cytokines and chemokines associated with the subtypes of achalasia. Neurogastroenterology & Motility. 32(6). e13832–e13832. 9 indexed citations

13.

Yu, Chengxiao, Na Qin, Zhening Pu, et al.. (2019). Integrating of genomic and transcriptomic profiles for the prognostic assessment of breast cancer. Breast Cancer Research and Treatment. 175(3). 691–699. 3 indexed citations

14.

Pu, Zhening, Jie Yin, Jun Chen, et al.. (2019). Whole-Exome Sequencing Reveals Novel Genetic Variation for Dilated Cardiomyopathy in Pediatric Chinese Patients. Pediatric Cardiology. 40(5). 950–957. 6 indexed citations

15.

Qin, Na, Ni Li, Cheng Wang, et al.. (2018). Association of Mosaic Loss of Chromosome Y with Lung Cancer Risk and Prognosis in a Chinese Population. Journal of Thoracic Oncology. 14(1). 37–44. 21 indexed citations

16.

Pu, Zhening, et al.. (2018). Family-based whole-exome sequencing identifies novel loss-of-function mutations of FBN1 for Marfan syndrome. PeerJ. 6. e5927–e5927. 5 indexed citations

17.

Li, Zhihua, Zhening Pu, Jingyi Fan, et al.. (2018). Fine mapping in TERT‐CLPTM1L region identified three independent lung cancer susceptibility signals: A large‐scale multi‐ethnic population study. Molecular Carcinogenesis. 57(10). 1289–1299. 5 indexed citations

18.

Jiang, Yue, Fei Chen, Na Qin, et al.. (2017). Potentially functional variants in lncRNAs are associated with breast cancer risk in a Chinese population. Molecular Carcinogenesis. 56(9). 2048–2057. 9 indexed citations

19.

Gao, Pengfei, et al.. (2017). LncRNA profiling of skeletal muscles in Large White pigs and Mashen pigs during development1,2. Journal of Animal Science. 95(10). 4239–4250. 26 indexed citations

20.

Li, Jun, Shiwei Yang, Zhening Pu, et al.. (2017). Whole-exome sequencing identifies SGCD and ACVRL1 mutations associated with total anomalous pulmonary venous return (TAPVR) in Chinese population. Oncotarget. 8(17). 27812–27819. 10 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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