Meiling Yu

609 citations
30 papers · 479 · h-index 12

Impact in

Papers in

Meiling Yu

27 papers receiving 472 citations

Peers

Meiling Yu
Comparison fields: 5 of 88
  • Animal Science and Zoology 110
  • Infectious Diseases 170
  • Pharmaceutical Science 30
  • Endocrinology 18
  • Microbiology 19
Replace Anne‐Marie Salisbury with:
Anne‐Marie Salisbury United Kingdom
Ashok Chockalingam United States
Manish Gupta India
Hongwu Sun China
Vahab Hassan Kaviar Iran
Shima Hadifar Iran
Jiří Hrdý Czechia
Kjersti Julin Norway
Yong Xue China
Shiuh‐Bin Fang Taiwan
Meiling Yu relative to Anne‐Marie Salisbury United Kingdom Anne‐Marie Salisbury's profile →
Citations per field
00.5×2×3.2×
Anne‐Marie Salisbury · 1×
Citations per year

Countries citing papers authored by Meiling Yu

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Meiling Yu, 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 Meiling Yu Line = papers co-authored together Meiling Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202377
2 201769
3 201847
4 201740
5 201438
6 201629
7 201726
8 201821
9 201817
10 201614
11 201514
12 202414
13 201712
14 201811
15 201610
16 20248
17 20217
18 20255
19 20175
20 20244

About Meiling Yu

Meiling Yu is a scholar working on Infectious Diseases, Animal Science and Zoology, Pharmaceutical Science, Biomaterials and Genetics, having authored 30 papers that have together received 479 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (6 papers), Animal Virus Infections Studies (4 papers), Tuberculosis Research and Epidemiology (3 papers), Virus-based gene therapy research (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Silicon Carbide Semiconductor Technologies (1 paper), Power Transformer Diagnostics and Insulation (1 paper) and Electrocatalysts for Energy Conversion (1 paper). The work is most often cited by research in Animal Science and Zoology (110 citations), Infectious Diseases (170 citations), Pharmaceutical Science (30 citations), Endocrinology (18 citations) and Microbiology (19 citations). Meiling Yu has collaborated with scholars based in China and Taiwan. Frequent co-authors include Lijie Tang, Yigang Xu, Xiaona Wang, Xing Tang, Xinyuan Qiao, Hui Xu, Li Wang, Wen Shi, Chunxue Zhang and Yan-Ping Jiang. Their work appears in journals such as Viruses, Applied Microbiology and Biotechnology, Signal Transduction and Targeted Therapy, Critical Care and Journal of Pharmaceutical Sciences.

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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