Yang Baoan

462 citations
6 papers · 210 · h-index 4

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology
    • Viral Infections and Vectors
    • COVID-19 Clinical Research Studies
    • Animal Disease Management and Epidemiology

Papers in

Yang Baoan

6 papers receiving 209 citations

Peers

Yang Baoan
Comparison fields: 5 of 41
  • Infectious Diseases 160
  • Agronomy and Crop Science 66
  • Animal Science and Zoology 56
  • Epidemiology 102
  • Modeling and Simulation 5
Replace G. S. Onkhonova with:
G. S. Onkhonova Russia
Yasuha Arai Japan
Lingshuang Sun China
Erin Hodges United States
Matthew Suderman Canada
Natalie Larionova Russia
Ginger Geiger United States
Min-Shiuh Lee Taiwan
Gounalan Pavade France
Yang Baoan relative to G. S. Onkhonova Russia G. S. Onkhonova's profile →
Citations per field
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G. S. Onkhonova · 1×
Citations per year

Countries citing papers authored by Yang Baoan

Since Specialization
Citations

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

Fields of papers citing papers by Yang Baoan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2008100
2 200583
3 200520
4 20113
5 20123
6
A general review on the effects of 60 Co γ-rays irradiation on vitamin C in fruits and vegetables
20091

About Yang Baoan

Yang Baoan is a scholar working on Infectious Diseases, Animal Science and Zoology, Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 6 papers that have together received 210 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Glycosylation and Glycoproteins Research (1 paper), Influenza Virus Research Studies (1 paper), Viral Infections and Vectors (1 paper), Animal Disease Management and Epidemiology (1 paper), Plant Genetic and Mutation Studies (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (160 citations), Agronomy and Crop Science (66 citations), Animal Science and Zoology (56 citations), Epidemiology (102 citations) and Modeling and Simulation (5 citations). Yang Baoan has collaborated with scholars based in China and United States. Frequent co-authors include Qingyu Zhu, Jiaming Li, Shuwen Liu, Yusen Zhou, Yuxian He, Shibo Jiang, Laixing Li, Jian Wang, Juan Pu and George F. Gao. Their work appears in journals such as Virology, Journal of General Virology, Entomological Science, Chinese Journal of Analytical Chemistry and Journal of Nuclear Agricultural 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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