Huiyong Wei

20 total papers · 569 total citations
15 papers, 446 citations indexed

About

Huiyong Wei is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Huiyong Wei has authored 15 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Immunology and 4 papers in Infectious Diseases. Recurrent topics in Huiyong Wei's work include Herpesvirus Infections and Treatments (7 papers), Cytomegalovirus and herpesvirus research (6 papers) and T-cell and Retrovirus Studies (3 papers). Huiyong Wei is often cited by papers focused on Herpesvirus Infections and Treatments (7 papers), Cytomegalovirus and herpesvirus research (6 papers) and T-cell and Retrovirus Studies (3 papers). Huiyong Wei collaborates with scholars based in United States, China and Brazil. Huiyong Wei's co-authors include Zheng W. Chen, Richard Wang, Shafiqul I. Chowdhury, Dan Huang, Dan Huang, Danyun Fang, Lifang Jiang, Ling Shen, William R. Jacobs and Norman L. Letvin and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Virology.

In The Last Decade

Huiyong Wei

15 papers receiving 434 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Huiyong Wei 221 191 157 94 56 15 446
Antje Reuter 226 1.0× 204 1.1× 135 0.9× 114 1.2× 54 1.0× 10 458
Corinna Patzina 249 1.1× 131 0.7× 99 0.6× 139 1.5× 29 0.5× 7 402
Marielle Lebrun 107 0.5× 128 0.7× 124 0.8× 122 1.3× 40 0.7× 19 386
Laura Graf 149 0.7× 169 0.9× 75 0.5× 128 1.4× 21 0.4× 19 374
Christina Barnfield 195 0.9× 159 0.8× 102 0.6× 131 1.4× 30 0.5× 11 423
Abi George Aleyas 128 0.6× 142 0.7× 167 1.1× 75 0.8× 114 2.0× 28 382
Sebastian Giese 117 0.5× 261 1.4× 227 1.4× 148 1.6× 43 0.8× 16 477
Sylvester Daniel 173 0.8× 158 0.8× 211 1.3× 36 0.4× 172 3.1× 16 466
Maria D. Gainey 186 0.8× 106 0.6× 177 1.1× 80 0.9× 111 2.0× 11 390
Gudrun Heins 238 1.1× 256 1.3× 123 0.8× 108 1.1× 18 0.3× 10 428

Countries citing papers authored by Huiyong Wei

Since Specialization
Citations

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

Fields of papers citing papers by Huiyong Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiyong Wei

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

All Works

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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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