Mei-Chuan Hung

41 total papers · 1.4k total citations
26 papers, 731 citations indexed

About

Mei-Chuan Hung is a scholar working on Health, Epidemiology and Infectious Diseases. According to data from OpenAlex, Mei-Chuan Hung has authored 26 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Health, 13 papers in Epidemiology and 5 papers in Infectious Diseases. Recurrent topics in Mei-Chuan Hung's work include Vaccine Coverage and Hesitancy (13 papers), Influenza Virus Research Studies (7 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Mei-Chuan Hung is often cited by papers focused on Vaccine Coverage and Hesitancy (13 papers), Influenza Virus Research Studies (7 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Mei-Chuan Hung collaborates with scholars based in United States, Taiwan and Uganda. Mei-Chuan Hung's co-authors include Peng-Jun Lu, Anup Srivastav, Walter W. Williams, James A. Singleton, Kathleen Dooling, Jennifer L. Kriss, Aaron M. Harris, Alfonso Rodríguez-Lainz, Miwako Kobayashi and Lauri E. Markowitz and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Public Health and American Journal of Preventive Medicine.

In The Last Decade

Mei-Chuan Hung

25 papers receiving 702 citations

Hit Papers

Surveillance of Vaccinati... 2021 2026 2022 2024 2021 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Mei-Chuan Hung 373 350 212 89 75 26 731
Erin D. Kennedy 420 1.1× 528 1.5× 149 0.7× 63 0.7× 79 1.1× 39 790
Lorna Willocks 184 0.5× 291 0.8× 213 1.0× 58 0.7× 137 1.8× 43 769
Subhash Chandir 431 1.2× 218 0.6× 245 1.2× 171 1.9× 176 2.3× 48 816
Alison F Crawshaw 475 1.3× 161 0.5× 157 0.7× 128 1.4× 155 2.1× 37 748
Yenlik Zheteyeva 309 0.8× 446 1.3× 108 0.5× 89 1.0× 49 0.7× 24 778
Felicity Knights 382 1.0× 127 0.4× 125 0.6× 107 1.2× 145 1.9× 33 635
Joanne Yarwood 627 1.7× 494 1.4× 194 0.9× 73 0.8× 102 1.4× 19 857
Anna Deal 469 1.3× 159 0.5× 170 0.8× 132 1.5× 153 2.0× 45 778
Mohamud Sheek‐Hussein 126 0.3× 178 0.5× 200 0.9× 106 1.2× 77 1.0× 51 760
C. Jestin 501 1.3× 375 1.1× 247 1.2× 79 0.9× 86 1.1× 26 788

Countries citing papers authored by Mei-Chuan Hung

Since Specialization
Citations

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

Fields of papers citing papers by Mei-Chuan Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei-Chuan Hung. 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 Mei-Chuan Hung. The network helps show where Mei-Chuan Hung may publish in the future.

Co-authorship network of co-authors of Mei-Chuan Hung

This figure shows the co-authorship network connecting the top 25 collaborators of Mei-Chuan Hung. A scholar is included among the top collaborators of Mei-Chuan Hung 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 Mei-Chuan Hung. Mei-Chuan Hung 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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