Weixu Meng

784 total citations
13 papers, 559 citations indexed

About

Weixu Meng is a scholar working on Epidemiology, Infectious Diseases and Oncology. According to data from OpenAlex, Weixu Meng has authored 13 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 4 papers in Infectious Diseases and 3 papers in Oncology. Recurrent topics in Weixu Meng's work include Influenza Virus Research Studies (5 papers), Viral gastroenteritis research and epidemiology (3 papers) and Respiratory viral infections research (3 papers). Weixu Meng is often cited by papers focused on Influenza Virus Research Studies (5 papers), Viral gastroenteritis research and epidemiology (3 papers) and Respiratory viral infections research (3 papers). Weixu Meng collaborates with scholars based in China, United States and New Zealand. Weixu Meng's co-authors include Zhiqiang An, Ningyan Zhang, Xuejun Fan, Ling Chen, Weiqi Pan, Qixu Zhang, Zhao Huang, Zhenyuan Dong, Chufang Li and Caijun Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Weixu Meng

13 papers receiving 553 citations

Peers

Weixu Meng
Wei-Lun Huang Taiwan
Ludmila Vitvitski France
Martin R. Burda Germany
Karl R. VanDerMeid United States
Joris Braspenning Germany
Chuanlai Shen China
Nikaïa Smith France
Kenneth L. Pinkston United States
Luigi Auletta Italy
Antonella Pasquato Switzerland
Wei-Lun Huang Taiwan
Weixu Meng
Citations per year, relative to Weixu Meng Weixu Meng (= 1×) peers Wei-Lun Huang

Countries citing papers authored by Weixu Meng

Since Specialization
Citations

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

Fields of papers citing papers by Weixu Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weixu Meng

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

All Works

13 of 13 papers shown
1.
2.
Li, Leike, Weixu Meng, Melanie Horton, et al.. (2019). Potent neutralizing antibodies elicited by dengue vaccine in rhesus macaque target diverse epitopes. PLoS Pathogens. 15(6). e1007716–e1007716. 30 indexed citations
3.
Huang, Liang, Na Wang, Yang Cao, et al.. (2018). CAR22/19 Cocktail Therapy for Patients with Refractory/Relapsed B-Cell Malignancies. Blood. 132(Supplement 1). 1408–1408. 20 indexed citations
4.
Meng, Weixu, Aimin Tang, Xiaohua Ye, et al.. (2017). Targeting Human-Cytomegalovirus-Infected Cells by Redirecting T Cells Using an Anti-CD3/Anti-Glycoprotein B Bispecific Antibody. Antimicrobial Agents and Chemotherapy. 62(1). 16 indexed citations
5.
Meng, Weixu, Leike Li, Wei Xiong, et al.. (2015). Efficient generation of monoclonal antibodies from single rhesus macaque antibody secreting cells. mAbs. 7(4). 707–718. 18 indexed citations
6.
Huang, Zhao, Weixu Meng, Xuejun Fan, et al.. (2014). Human decellularized adipose tissue scaffold as a model for breast cancer cell growth and drug treatments. Biomaterials. 35(18). 4940–4949. 130 indexed citations
7.
Shi, Yun, Xuejun Fan, Weixu Meng, et al.. (2014). Engagement of immune effector cells by trastuzumab induces HER2/ERBB2 downregulation in cancer cells through STAT1 activation. Breast Cancer Research. 16(2). R33–R33. 43 indexed citations
8.
Freed, Daniel C., Qi Tang, Aimin Tang, et al.. (2013). Pentameric complex of viral glycoprotein H is the primary target for potent neutralization by a human cytomegalovirus vaccine. Proceedings of the National Academy of Sciences. 110(51). E4997–5005. 111 indexed citations
9.
Pan, Weiqi, Zhenyuan Dong, Feng Li, et al.. (2013). Visualizing influenza virus infection in living mice. Nature Communications. 4(1). 2369–2369. 99 indexed citations
10.
Meng, Weixu, Weiqi Pan, Jinxia Zhang, et al.. (2013). Rapid Generation of Human-Like Neutralizing Monoclonal Antibodies in Urgent Preparedness for Influenza Pandemics and Virulent Infectious Diseases. PLoS ONE. 8(6). e66276–e66276. 17 indexed citations
11.
Pan, Weiqi, Zhenyuan Dong, Weixu Meng, et al.. (2012). Improvement of influenza vaccine strain A/Vietnam/1194/2004 (H5N1) growth with the neuraminidase packaging sequence from A/Puerto Rico/8/34. Human Vaccines & Immunotherapeutics. 8(2). 252–259. 14 indexed citations
12.
Wei, Guo‐Wei, Weixu Meng, Weiqi Pan, et al.. (2011). Potent Neutralization of Influenza A Virus by a Single-Domain Antibody Blocking M2 Ion Channel Protein. PLoS ONE. 6(12). e28309–e28309. 56 indexed citations
13.

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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