Yali Qin

1.1k citations
42 papers · 833 · h-index 16

Impact in

Papers in

    • Viral Infections and Vectors 10
    • Viral gastroenteritis research and epidemiology 4
    • Virology and Viral Diseases 8
    • Respiratory viral infections research 6

Yali Qin

40 papers receiving 823 citations

Peers

Yali Qin
Comparison fields: 5 of 79
  • Virology 97
  • Infectious Diseases 246
  • Epidemiology 311
  • Immunology 176
  • Cardiology and Cardiovascular Medicine 119
Replace Boli Hu with:
Boli Hu China
Chengqun Sun United States
Simone Hoppe Germany
Mohamed Lamine Hafirassou France
Yaw Shin Ooi United States
Marianita Santiana United States
Martha Simpson-Holley United States
Svetlana V. Scherbik United States
Alexander von der Malsburg Germany
Daniel Gonçalves-Carneiro United States
Yali Qin relative to Boli Hu China Boli Hu's profile →
Citations per field
00.5×3.8×
Boli Hu · 1×
Citations per year

Countries citing papers authored by Yali Qin

Since Specialization
Citations

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

Fields of papers citing papers by Yali Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018139
2 2017116
3 201870
4 201858
5 201647
6 202335
7 201032
8 201832
9 201620
10 201920
11 201918
12 201017
13 201616
14 201516
15 201615
16 201415
17 202015
18 202414
19 202214
20 202113

About Yali Qin

Yali Qin is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Virology and Immunology, having authored 42 papers that have together received 833 indexed citations. Recurring topics across this work include Viral Infections and Vectors (10 papers), HIV Research and Treatment (10 papers), Virology and Viral Diseases (8 papers), Mosquito-borne diseases and control (7 papers), Respiratory viral infections research (6 papers), Viral Infections and Immunology Research (6 papers), RNA Research and Splicing (5 papers) and Viral gastroenteritis research and epidemiology (4 papers). The work is most often cited by research in Virology (97 citations), Infectious Diseases (246 citations), Epidemiology (311 citations), Immunology (176 citations) and Cardiology and Cardiovascular Medicine (119 citations). Yali Qin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mingzhou Chen, Linliang Zhang, Yi Zhong, Binbin Ding, Xiaodan Yang, Zhifei Li, Shanshan Fan, Dong Guo, Qiang Zhang and Michael W. Cho. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Virology, Viruses and Emerging Microbes & Infections.

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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