Minnan Yang
Impact in
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
- Health top 2%
- Vaccine Coverage and Hesitancy
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- Viral gastroenteritis research and epidemiology 3
-
- Animal Virus Infections Studies 3
- Co-authors
- Xiangxi Wang (3 shared papers)Changgui Li (1 shared paper)Rong Tang (1 shared paper)Qiang Gao (1 shared paper)Hongxing Pan (1 shared paper)Yuansheng Hu (1 shared paper)Xiaoyong Liu (1 shared paper)Yan Song (1 shared paper)
In The Last Decade
Minnan Yang
8 papers receiving 1.1k citations
Minnan Yang's Hit Papers
Peers
Comparison fields: 5 of 98
- Infectious Diseases 949
- Health 302
- Modeling and Simulation 92
- Animal Science and Zoology 115
- Obstetrics and Gynecology 55
Countries citing papers authored by Minnan Yang
This map shows the geographic impact of Minnan 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 Minnan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minnan Yang more than expected).
Fields of papers citing papers by Minnan Yang
This network shows the impact of papers produced by Minnan 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 Minnan Yang. The network helps show where Minnan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Minnan Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Safety, tolerability, and immunogenicity of an inactivated SARS-CoV-2 vaccine in healthy adults aged 18–59 years: a randomised, double-blind, placebo-controlled, phase 1/2 clinical trial Hit paper breakdown → | 2020 | 937 |
| 2 | 2021 | 125 | |
| 3 | 2021 | 41 | |
| 4 | 2009 | 39 | |
| 5 | 2014 | 12 | |
| 6 | 2017 | 12 | |
| 7 | 2014 | 6 | |
| 8 | Preparation and preliminary identification of monoclonal antibodies against Nsp9 protein of porcine reproductive and respiratory syndrome virus | 2012 | 1 |
About Minnan Yang
Minnan Yang is a scholar working on Infectious Diseases, Animal Science and Zoology, Genetics, Molecular Biology and Ecology, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Virus-based gene therapy research (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Bacteriophages and microbial interactions (2 papers), Natural product bioactivities and synthesis (1 paper), Plant biochemistry and biosynthesis (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Infectious Diseases (949 citations), Health (302 citations), Modeling and Simulation (92 citations), Animal Science and Zoology (115 citations) and Obstetrics and Gynecology (55 citations). Minnan Yang has collaborated with scholars based in China, Germany and Japan. Frequent co-authors include Xiangxi Wang, Changgui Li, Rong Tang, Qiang Gao, Hongxing Pan, Yuansheng Hu, Xiaoyong Liu, Yan Song, Kai Chu and Gang Zeng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of General Virology, Nature Communications, The Lancet Infectious Diseases and PLoS ONE.
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.