Ying-Hua Chen

25 total papers · 1.2k total citations
24 papers, 893 citations indexed

About

Ying-Hua Chen is a scholar working on Virology, Immunology and Molecular Biology. According to data from OpenAlex, Ying-Hua Chen has authored 24 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Virology, 10 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in Ying-Hua Chen's work include HIV Research and Treatment (17 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Immune Cell Function and Interaction (8 papers). Ying-Hua Chen is often cited by papers focused on HIV Research and Treatment (17 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Immune Cell Function and Interaction (8 papers). Ying-Hua Chen collaborates with scholars based in China, Austria and Poland. Ying-Hua Chen's co-authors include Xiaonan Dong, Liwei Jiang, Xi Liu, Linqi Zhang, Ye Cui, Lili Fu, Nianshuang Wang, Xinquan Wang, Pei Tong and Dongli Wang and has published in prestigious journals such as Vaccine, Cell Research and Peptides.

In The Last Decade

Ying-Hua Chen

24 papers receiving 874 citations

Hit Papers

Structure of MERS-CoV spi... 2013 2026 2017 2021 2013 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Ying-Hua Chen 557 273 195 179 119 24 893
Lester L. Gutshall 319 0.6× 83 0.3× 110 0.6× 245 1.4× 124 1.0× 21 800
Huancheng Guo 343 0.6× 245 0.9× 203 1.0× 174 1.0× 125 1.1× 41 731
Yuwei Gao 311 0.6× 192 0.7× 96 0.5× 242 1.4× 76 0.6× 54 985
Adam J. Foord 565 1.0× 101 0.4× 168 0.9× 110 0.6× 31 0.3× 18 836
Elizabeth Reid 222 0.4× 186 0.7× 401 2.1× 206 1.2× 304 2.6× 16 886
Angke Zhang 316 0.6× 293 1.1× 164 0.8× 232 1.3× 104 0.9× 41 702
Narcı́s Saubi 417 0.7× 203 0.7× 69 0.4× 214 1.2× 94 0.8× 42 948
Paul Kitching 188 0.3× 145 0.5× 409 2.1× 107 0.6× 355 3.0× 22 854
Thierry Pelet 390 0.7× 231 0.8× 100 0.5× 133 0.7× 94 0.8× 12 1.0k
Janet Meredith 296 0.5× 84 0.3× 89 0.5× 514 2.9× 402 3.4× 24 1.0k

Countries citing papers authored by Ying-Hua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Hua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying-Hua Chen. 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 Ying-Hua Chen. The network helps show where Ying-Hua Chen may publish in the future.

Co-authorship network of co-authors of Ying-Hua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Hua Chen. A scholar is included among the top collaborators of Ying-Hua Chen 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 Ying-Hua Chen. Ying-Hua Chen 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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