Yumin Meng

891 citations
7 papers · 333 · h-index 6

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 detection and testing
    • Animal Virus Infections Studies

Papers in

Yumin Meng

7 papers receiving 332 citations

Peers

Yumin Meng
Comparison fields: 5 of 48
  • Infectious Diseases 286
  • Animal Science and Zoology 94
  • Modeling and Simulation 14
  • Computational Theory and Mathematics 41
  • Molecular Biology 95
Replace Samantha K. Zepeda with:
Samantha K. Zepeda United States
Mariel J. Liebeskind United States
Ruthiran Kugathasan United Kingdom
Toong Seng Tan Japan
Becky Alford United States
Keisuke Nakagawa Japan
Ariana Ghez Farrell United States
Josh R. Dillen United States
Mian Dai United Kingdom
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Citations per field
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Samantha K. Zepeda · 1×
Citations per year

Countries citing papers authored by Yumin Meng

Since Specialization
Citations

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

Fields of papers citing papers by Yumin Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yumin Meng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yumin Meng Line = papers co-authored together Yumin Meng links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2020123
2 2022106
3 202066
4 202324
5 20237
6 20255
7 20202

About Yumin Meng

Yumin Meng is a scholar working on Infectious Diseases, Animal Science and Zoology, Cardiology and Cardiovascular Medicine, Epidemiology and Agronomy and Crop Science, having authored 7 papers that have together received 333 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers), Animal Virus Infections Studies (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Influenza Virus Research Studies (1 paper), Solar-Powered Water Purification Methods (1 paper), Membrane Separation Technologies (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Infectious Diseases (286 citations), Animal Science and Zoology (94 citations), Modeling and Simulation (14 citations), Computational Theory and Mathematics (41 citations) and Molecular Biology (95 citations). Yumin Meng has collaborated with scholars based in China, Macao and Czechia. Frequent co-authors include Jianxun Qi, Kefang Liu, Yanfang Zhang, George F. Gao, Hongwei Wang, Jinghua Yan, Pei Du, Qihui Wang, Lili Wu and Jia Wang. Their work appears in journals such as Cell Discovery, Biosafety and Health, Cell, Chemical Engineering Journal and Journal of Virology.

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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