Li Yang

4.9k citations
139 papers · 2.7k · h-index 26

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors

Papers in

    • HIV/AIDS drug development and treatment 12
    • HIV/AIDS Research and Interventions 11
    • Viral gastroenteritis research and epidemiology 10
    • SARS-CoV-2 and COVID-19 Research 9

Li Yang

129 papers receiving 2.6k citations

Peers

Li Yang
Comparison fields: 5 of 148
  • Virology 521
  • Infectious Diseases 1.2k
  • Animal Science and Zoology 396
  • Epidemiology 549
  • Plant Science 473
Replace Hinh Ly with:
Hinh Ly United States
Masayuki Shimojima Japan
Yan Xiao China
Vivek R. Nerurkar United States
Bas B. Oude Munnink Netherlands
Tao Jiang China
Rowena A. Bull Australia
Ping Ren United States
Huajun Zhang China
Li Yang relative to Hinh Ly United States Hinh Ly's profile →
Citations per field
00.5×3.2×
Hinh Ly · 1×
Citations per year

Countries citing papers authored by Li Yang

Since Specialization
Citations

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

Fields of papers citing papers by Li Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008236
2 2012232
3 2015226
4 2016127
5 2006121
6 2017113
7 201375
8 201674
9 201659
10 201558
11 201753
12 201741
13 201840
14 201340
15 201940
16 201539
17 201438
18 202135
19 201835
20 201235

About Li Yang

Li Yang is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Genetics and Plant Science, having authored 139 papers that have together received 2.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), HIV/AIDS drug development and treatment (12 papers), HIV/AIDS Research and Interventions (11 papers), Animal Virus Infections Studies (10 papers), Viral gastroenteritis research and epidemiology (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Cancer-related molecular mechanisms research (7 papers) and Bacteriophages and microbial interactions (6 papers). The work is most often cited by research in Virology (521 citations), Infectious Diseases (1.2k citations), Animal Science and Zoology (396 citations), Epidemiology (549 citations) and Plant Science (473 citations). Li Yang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Manhong Jia, Qi Jin, Zhìqiáng Wú, Shuyi Zhang, Xianwen Ren, Fan Yang, Yanling Ma, Lin Lü, Lilian Sun and Jiang Du. Their work appears in journals such as PLoS ONE, Scientific Reports, DNA and Cell Biology, BMC Infectious Diseases and Journal of General 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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