Jie‐mei Yu

1.2k citations
49 papers · 896 · h-index 18

Impact in

Papers in

Jie‐mei Yu

47 papers receiving 875 citations

Peers

Jie‐mei Yu
Comparison fields: 5 of 54
  • Infectious Diseases 777
  • Animal Science and Zoology 359
  • Cardiology and Cardiovascular Medicine 327
  • Epidemiology 377
  • Hepatology 71
Replace Sunando Roy with:
Sunando Roy United Kingdom
Quang Duy Trinh Japan
Ngan Thi Kim Pham Japan
Sayaka Takanashi Japan
Laura C. Martı́nez Argentina
Hainian Yan Japan
Jérôme Kaplon France
Sigrid Baumgarte Germany
Federica Di Profio Italy
Mariam B. Gonzalez-Hernandez United States
Jie‐mei Yu relative to Sunando Roy United Kingdom Sunando Roy's profile →
Citations per field
00.5×1.5×2.3×
Sunando Roy · 1×
Citations per year

Countries citing papers authored by Jie‐mei Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jie‐mei Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200876
2 202163
3 200858
4 200954
5 200853
6 201851
7 201146
8 201246
9 201045
10 201540
11 201237
12 201134
13 201527
14 201625
15 201124
16 201321
17 201320
18 202217
19 201316
20 200914

About Jie‐mei Yu

Jie‐mei Yu is a scholar working on Infectious Diseases, Animal Science and Zoology, Epidemiology, Cardiology and Cardiovascular Medicine and Genetics, having authored 49 papers that have together received 896 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (36 papers), Animal Virus Infections Studies (29 papers), Respiratory viral infections research (18 papers), Viral Infections and Immunology Research (15 papers), Virus-based gene therapy research (10 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Hepatitis Viruses Studies and Epidemiology (4 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Infectious Diseases (777 citations), Animal Science and Zoology (359 citations), Cardiology and Cardiovascular Medicine (327 citations), Epidemiology (377 citations) and Hepatology (71 citations). Jie‐mei Yu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhaojun Duan, Weixia Cheng, Miao Jin, Ziqian Xu, Shu‐xian Cui, Yuanyun Ao, Na Liu, Qing Zhang, Zhao‐yin Fang and Yan-Peng Zheng. Their work appears in journals such as Journal of Clinical Virology, Archives of Virology, Frontiers in Microbiology, Scientific Reports and Clinical Microbiology and Infection.

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.

Explore authors with similar magnitude of impact