Hu Shan
Impact in
- Infectious Diseases top 2%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
- Molecular Medicine top 5%
Papers in
-
- Viral gastroenteritis research and epidemiology 18
- Co-authors
- Junwei Li (2 shared papers)Cuiling Zhang (1 shared paper)Giulietta Maruggi (1 shared paper)Jiming Chen (3 shared papers)Hongliang Zhang (3 shared papers)Guimei Li (5 shared papers)R Yang (2 shared papers)Fuxiao Liu (17 shared papers)
- Journals
- Frontiers in Microbiology (8 papers)Veterinary Microbiology (7 papers)Microbial Pathogenesis (4 papers)Journal of Chromatographic Science (4 papers)Virology Journal (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Hu Shan
110 papers receiving 2.7k citations
Hu Shan's Hit Papers
Peers
Comparison fields: 5 of 159
- Infectious Diseases 583
- Molecular Medicine 157
- Endocrinology 136
- Agronomy and Crop Science 248
- Animal Science and Zoology 234
Countries citing papers authored by Hu Shan
This map shows the geographic impact of Hu Shan'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 Hu Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hu Shan more than expected).
Fields of papers citing papers by Hu Shan
This network shows the impact of papers produced by Hu Shan. 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 Hu Shan. The network helps show where Hu Shan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hu Shan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Advances in mRNA Vaccines for Infectious Diseases Hit paper breakdown → | 2019 | 487 |
| 2 | 2020 | 232 | |
| 3 | 2017 | 129 | |
| 4 | 2017 | 125 | |
| 5 | 2021 | 85 | |
| 6 | 2020 | 83 | |
| 7 | Vaccines for African swine fever: an update Hit paper breakdown → | 2023 | 70 |
| 8 | 2020 | 62 | |
| 9 | 2014 | 58 | |
| 10 | 2016 | 57 | |
| 11 | 2017 | 54 | |
| 12 | 2017 | 52 | |
| 13 | 2005 | 51 | |
| 14 | 2022 | 50 | |
| 15 | 2010 | 46 | |
| 16 | 2020 | 44 | |
| 17 | 2014 | 40 | |
| 18 | 2009 | 40 | |
| 19 | 2019 | 39 | |
| 20 | 2016 | 38 |
About Hu Shan
Hu Shan is a scholar working on Molecular Biology, Infectious Diseases, Plant Science, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 117 papers that have together received 2.7k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (18 papers), Viral Infections and Immunology Research (18 papers), Animal Virus Infections Studies (15 papers), Animal Disease Management and Epidemiology (13 papers), Virus-based gene therapy research (12 papers), Plant Virus Research Studies (9 papers), Herpesvirus Infections and Treatments (8 papers) and Virology and Viral Diseases (8 papers). The work is most often cited by research in Infectious Diseases (583 citations), Molecular Medicine (157 citations), Endocrinology (136 citations), Agronomy and Crop Science (248 citations) and Animal Science and Zoology (234 citations). Hu Shan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Junwei Li, Cuiling Zhang, Giulietta Maruggi, Jiming Chen, Hongliang Zhang, Guimei Li, R Yang, Fuxiao Liu, Haitao Lü and Chunyi Tong. Their work appears in journals such as Frontiers in Microbiology, Veterinary Microbiology, Microbial Pathogenesis, Journal of Chromatographic Science and Virology Journal.
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.