Meiling Dai

537 total citations
11 papers, 400 citations indexed

About

Meiling Dai is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Meiling Dai has authored 11 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 4 papers in Infectious Diseases and 4 papers in Molecular Biology. Recurrent topics in Meiling Dai's work include Influenza Virus Research Studies (7 papers), Animal Virus Infections Studies (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Meiling Dai is often cited by papers focused on Influenza Virus Research Studies (7 papers), Animal Virus Infections Studies (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Meiling Dai collaborates with scholars based in Netherlands, Australia and United States. Meiling Dai's co-authors include Frank J. M. van Kuppeveld, Erik de Vries, Cornelis A. M. de Haan, Hongbo Guo, Raoul J. de Groot, Ryan McBride, Peter J. M. Rottier, James C. Paulson, J.W.M. van Lent and Huib H. Rabouw and has published in prestigious journals such as Journal of Virology, Emerging infectious diseases and Acta Biomaterialia.

In The Last Decade

Meiling Dai

10 papers receiving 391 citations

Peers

Meiling Dai

EPIDE

ACS

ASZ

Alan Yung-Chih Hu Taiwan

Upma Gulati United States

Benjamin S. Chambers United States

Jieshi Yu United States

Jelena Ivančić-Jelečki Croatia

A. S. Gambaryan Russia

Qingyun Du Singapore

Meng Hu Hong Kong

Ilona Behrendt Germany

Yunhao Gong United States

Alan Yung-Chih Hu Taiwan

Meiling Dai

192 ×0.7

EPIDE

125 ×1.0

115 ×1.0

59 ×0.6

ACS

27 ×0.5

ASZ

Citations per year, relative to Meiling Dai Meiling Dai (= 1×) peers Alan Yung-Chih Hu

Countries citing papers authored by Meiling Dai

Since Specialization

Citations

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

Fields of papers citing papers by Meiling Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiling Dai

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

All Works

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11 of 11 papers shown

Singh, Ruhani, John White, Meiling Dai, et al.. (2022). Biomimetic metal-organic frameworks as protective scaffolds for live-virus encapsulation and vaccine stabilization. Acta Biomaterialia. 142. 320–331. 30 indexed citations

Layton, Daniel, Kostlend Mara, Meiling Dai, et al.. (2022). Interferon Signaling in Chickens Plays a Crucial Role in Inhibiting Influenza Replication in DF1 Cells. Microorganisms. 10(1). 133–133. 12 indexed citations

Mara, Kostlend, Meiling Dai, Marina R. Alexander, et al.. (2021). Investigating the Interaction between Negative Strand RNA Viruses and Their Hosts for Enhanced Vaccine Development and Production. Vaccines. 9(1). 59–59.

Dai, Meiling, Wenjuan Du, Carles Martínez‐Romero, et al.. (2021). Analysis of the Evolution of Pandemic Influenza A(H1N1) Virus Neuraminidase Reveals Entanglement of Different Phenotypic Characteristics. mBio. 12(3). 13 indexed citations

Guo, Hongbo, Huib H. Rabouw, Anne Slomp, et al.. (2018). Kinetic analysis of the influenza A virus HA/NA balance reveals contribution of NA to virus-receptor binding and NA-dependent rolling on receptor-containing surfaces. PLoS Pathogens. 14(8). e1007233–e1007233. 100 indexed citations

Du, Wenjuan, Meiling Dai, Zeshi Li, et al.. (2018). Substrate Binding by the Second Sialic Acid-Binding Site of Influenza A Virus N1 Neuraminidase Contributes to Enzymatic Activity. Journal of Virology. 92(20). 37 indexed citations

Dai, Meiling, Ryan McBride, J. C. F. M. Dortmans, et al.. (2017). Mutation of the Second Sialic Acid-Binding Site, Resulting in Reduced Neuraminidase Activity, Preceded the Emergence of H7N9 Influenza A Virus. Journal of Virology. 91(9). 39 indexed citations

Dai, Meiling, Hongbo Guo, J. C. F. M. Dortmans, et al.. (2016). Identification of Residues That Affect Oligomerization and/or Enzymatic Activity of Influenza Virus H5N1 Neuraminidase Proteins. Journal of Virology. 90(20). 9457–9470. 30 indexed citations

Vries, Erik de, Hongbo Guo, Meiling Dai, et al.. (2015). Rapid Emergence of Highly Pathogenic Avian Influenza Subtypes from a Subtype H5N1 Hemagglutinin Variant. Emerging infectious diseases. 21(5). 842–846. 71 indexed citations

10.

Ding, Li, Yong Huang, Meiling Dai, et al.. (2013). Transmissible gastroenteritis virus infection induces cell cycle arrest at S and G2/M phases via p53-dependent pathway. Virus Research. 178(2). 241–251. 36 indexed citations

11.

Huang, Yong, Li Ding, Zhaocai Li, et al.. (2013). Transmissible gastroenteritis virus infection induces cell apoptosis via activation of p53 signalling. Journal of General Virology. 94(8). 1807–1817. 32 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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