Weipeng Wang

1.6k total citations
60 papers, 1.0k citations indexed

About

Weipeng Wang is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Weipeng Wang has authored 60 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 10 papers in Genetics and 9 papers in Plant Science. Recurrent topics in Weipeng Wang's work include RNA modifications and cancer (10 papers), MicroRNA in disease regulation (9 papers) and Molecular Biology Techniques and Applications (8 papers). Weipeng Wang is often cited by papers focused on RNA modifications and cancer (10 papers), MicroRNA in disease regulation (9 papers) and Molecular Biology Techniques and Applications (8 papers). Weipeng Wang collaborates with scholars based in China, United States and Hong Kong. Weipeng Wang's co-authors include Huan Zhou, Yong Mao, Jianjie Zhu, Rui Li, Dong Hua, Caiyan Zhao, Xueguang Zhang, Hongzhang Deng, Changrong Wang and Guohua Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Weipeng Wang

59 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weipeng Wang China 19 648 260 181 150 123 60 1.0k
Jason Piotrowski United States 13 1.1k 1.7× 200 0.8× 132 0.7× 216 1.4× 37 0.3× 15 1.3k
Barbara van Loon Switzerland 20 954 1.5× 249 1.0× 208 1.1× 72 0.5× 33 0.3× 41 1.1k
Mirta Mittelstedt Leal de Sousa Norway 20 977 1.5× 161 0.6× 151 0.8× 79 0.5× 85 0.7× 37 1.2k
Rune Standal Norway 5 732 1.1× 156 0.6× 84 0.5× 148 1.0× 58 0.5× 8 1.0k
Insa Buers Germany 18 666 1.0× 40 0.2× 101 0.6× 69 0.5× 267 2.2× 28 1.2k
Eleonora Parlanti Italy 19 1.6k 2.5× 534 2.1× 282 1.6× 84 0.6× 52 0.4× 26 1.8k
Joan Riley United Kingdom 16 620 1.0× 196 0.8× 199 1.1× 54 0.4× 69 0.6× 44 1.0k
Chih-Hung Hsu China 16 1.7k 2.6× 533 2.0× 233 1.3× 90 0.6× 99 0.8× 30 2.0k
Xinjun Wang China 19 486 0.8× 163 0.6× 109 0.6× 35 0.2× 98 0.8× 57 879
Adi Naamati United Kingdom 11 567 0.9× 149 0.6× 59 0.3× 28 0.2× 92 0.7× 12 830

Countries citing papers authored by Weipeng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Weipeng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weipeng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Weipeng Wang. A scholar is included among the top collaborators of Weipeng Wang 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 Weipeng Wang. Weipeng Wang 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.
Huang, Pei, Yiwen Liu, Caiyan Zhao, et al.. (2025). Permanent Efferocytosis Prevention by Terminating MerTK Recycle on Tumor-Associated Macrophages for Cancer Immunotherapy. Journal of the American Chemical Society. 147(18). 15901–15914. 3 indexed citations
2.
Zhao, Caiyan, et al.. (2024). Fusogenic Lipid Nanovesicle for Biomacromolecular Delivery. Nano Letters. 24(28). 8609–8618. 7 indexed citations
3.
Zhang, Yawen, Xinyi Xu, Qingjun You, et al.. (2023). Exosomal B7-H3 facilitates colorectal cancer angiogenesis and metastasis through AKT1/mTOR/VEGFA pathway. Cellular Signalling. 109. 110737–110737. 20 indexed citations
4.
Wang, Weipeng, et al.. (2023). The Functional Characterization of DzCYP72A12-4 Related to Diosgenin Biosynthesis and Drought Adaptability in Dioscorea zingiberensis. International Journal of Molecular Sciences. 24(9). 8430–8430. 5 indexed citations
6.
Yang, Man, Fanyi Meng, Yawen Zhang, et al.. (2022). SRSF3 Promotes Angiogenesis in Colorectal Cancer by Splicing SRF. Frontiers in Oncology. 12. 810610–810610. 9 indexed citations
7.
Chen, Mengxi, Shuang Wang, Qí Zhāng, et al.. (2022). Facile Synthesis of Bifunctional Metal–Organic Framework Nanoparticles for Isolation of Extracellular Vesicles. ACS Sustainable Chemistry & Engineering. 10(21). 7020–7030. 11 indexed citations
8.
Wang, Mengmeng, Man Yang, Yawen Zhang, et al.. (2022). Synergistic antitumor activity of 5-fluorouracil and atosiban against microsatellite stable colorectal cancer through restoring GATA3. Biochemical Pharmacology. 199. 115025–115025. 3 indexed citations
9.
Hao, Wei, Guoxiang Liu, Weipeng Wang, et al.. (2021). RNA Editing and Its Roles in Plant Organelles. Frontiers in Genetics. 12. 757109–757109. 52 indexed citations
10.
Liu, Shan, Dongjuan Wang, Hao Liu, et al.. (2020). Chinese expert brief consensus on newborn screening of inherited metabolic disorders during the novel coronavirus infection epidemic. Annals of Translational Medicine. 8(7). 429–429. 7 indexed citations
12.
Chen, Qi, Fanyi Meng, Lei Wang, et al.. (2017). A polymorphism in ABCC4 is related to efficacy of 5-FU/capecitabine-based chemotherapy in colorectal cancer patients. Scientific Reports. 7(1). 7059–7059. 27 indexed citations
13.
Wang, Weipeng, Pui Yan Ho, Qiuxia Chen, et al.. (2015). Bioengineering Novel Chimeric microRNA-34a for Prodrug Cancer Therapy: High-Yield Expression and Purification, and Structural and Functional Characterization. Journal of Pharmacology and Experimental Therapeutics. 354(2). 131–141. 56 indexed citations
14.
Fang, Kun, et al.. (2014). Analysis of meiotic segregation patterns and interchromosomal effects insperm from a Robertsonian translocation family. Biomedical Research-tokyo. 25(2). 0. 4 indexed citations
15.
Wang, Bo, et al.. (2013). Case Report: Potential Speciation in Humans Involving RobertsonianTranslocations.. Biomedical Research-tokyo. 24(1). 0. 5 indexed citations
16.
Zhu, Jianjie, et al.. (2012). Multiplex Allele-Specific Amplification from Whole Blood for Detecting Multiple Polymorphisms Simultaneously. Genetic Testing and Molecular Biomarkers. 17(1). 10–15. 3 indexed citations
17.
Wang, Weipeng, et al.. (2008). Improved adapter‐ligation‐mediated allele‐specific amplification for multiplex genotyping by using software. Electrophoresis. 29(7). 1490–1501. 1 indexed citations
18.
Zhang, Juan, Yuepu Pu, Lihong Yin, et al.. (2007). Analysis of Multiple Single Nucleotide Polymorphisms (SNPs) of Myeloperoxidase (MPO) to Screen for Genetic Markers Associated with Acute Leukemia in Chinese Han Population. Journal of Toxicology and Environmental Health. 70(11). 901–907. 16 indexed citations
19.
Ni, Kunyi, et al.. (2007). Development and validation of a LC–MS/MS method for the determination of viaminate in human plasma. Journal of Chromatography B. 856(1-2). 376–380. 6 indexed citations
20.
Wang, Weipeng, Kunyi Ni, & Guohua Zhou. (2006). Multiplex single nucleotide polymorphism genotyping by adapter ligation-mediated allele-specific amplification. Analytical Biochemistry. 355(2). 240–248. 9 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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