Mian Dai

817 total citations · 1 hit paper
4 papers, 466 citations indexed

About

Mian Dai is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Mian Dai has authored 4 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Epidemiology and 2 papers in Immunology. Recurrent topics in Mian Dai's work include SARS-CoV-2 and COVID-19 Research (3 papers), Influenza Virus Research Studies (2 papers) and Respiratory viral infections research (2 papers). Mian Dai is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Influenza Virus Research Studies (2 papers) and Respiratory viral infections research (2 papers). Mian Dai collaborates with scholars based in United Kingdom, Switzerland and Argentina. Mian Dai's co-authors include Joost Snijder, Joel Quispe, Elisabetta Cameroni, Antonio Lanzavecchia, Robin Gopal, Alexandra C. Walls, Xiaoli Xiong, Young‐Jun Park, M. Alejandra Tortorici and F.A. Rey and has published in prestigious journals such as Cell, Journal of General Virology and Influenza and Other Respiratory Viruses.

In The Last Decade

Mian Dai

4 papers receiving 458 citations

Hit Papers

align trajectories

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.

Unexpected Receptor Functional Mimicry Elucidates Activation of Coronavirus Fusion

2019 370 citations Alexandra C. Walls, Xiaoli Xiong et al. Cell profile →

Peers

Mian Dai

ID

MB

EPIDE

ASZ

RNMI

Arturo Torres Ortiz United Kingdom

Ruoke Wang China

Alexander S. Hahn Germany

Bojan F. Hörnich Germany

Cameron Stewart United States

Samitabh Chakraborti India

Mobolaji Olurinde United States

Deleah Pettie United States

Stephanie Giordano United States

Lindsey R. Robinson‐McCarthy United States

Arturo Torres Ortiz United Kingdom

Mian Dai

488 ×1.4

ID

169 ×1.2

MB

72 ×0.7

EPIDE

70 ×1.0

ASZ

39 ×0.6

RNMI

Citations per year, relative to Mian Dai Mian Dai (= 1×) peers Arturo Torres Ortiz

Countries citing papers authored by Mian Dai

Since Specialization

Citations

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

Fields of papers citing papers by Mian Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mian Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Mian Dai. A scholar is included among the top collaborators of Mian 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 Mian Dai. Mian 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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4 of 4 papers shown

1.

Walls, Alexandra C., Xiaoli Xiong, Young‐Jun Park, et al.. (2020). Unexpected Receptor Functional Mimicry Elucidates Activation of Coronavirus Fusion. Cell. 183(6). 1732–1732. 21 indexed citations

2.

Walls, Alexandra C., Xiaoli Xiong, Young‐Jun Park, et al.. (2019). Unexpected Receptor Functional Mimicry Elucidates Activation of Coronavirus Fusion. Cell. 176(5). 1026–1039.e15. 370 indexed citations breakdown →

3.

Dai, Mian, Steven Howell, Pramila Rijal, et al.. (2018). Characterization of neutralizing epitopes in antigenic site B of recently circulating influenza A(H3N2) viruses. Journal of General Virology. 99(8). 1001–1011. 13 indexed citations

4.

Lin, Yipu, Stephen A. Wharton, Lynne Whittaker, et al.. (2017). The characteristics and antigenic properties of recently emerged subclade 3C.3a and 3C.2a human influenza A(H3N2) viruses passaged in MDCK cells. Influenza and Other Respiratory Viruses. 11(3). 263–274. 62 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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