Shuo Su
Impact in
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Viral Infections and Vectors 4
- Viral gastroenteritis research and epidemiology 4
-
- Animal Virus Infections Studies 8
- Co-authors
- Jiyong Zhou (4 shared papers)Giovanni Franzo (3 shared papers)Gairu Li (4 shared papers)Ben M. Hause (1 shared paper)Robert Fux (1 shared paper)Gang Xing (3 shared papers)Cheng Zhang (2 shared papers)Joaquím Segalés (1 shared paper)
- Journals
- Veterinary Microbiology (2 papers)Viruses (2 papers)Applied Microbiology and Biotechnology (2 papers)Molecular Phylogenetics and Evolution (2 papers)Virulence (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Shuo Su
11 papers receiving 275 citations
Peers
Comparison fields: 5 of 31
- Animal Science and Zoology 206
- Infectious Diseases 139
- Genetics 135
- Cardiology and Cardiovascular Medicine 94
- Endocrinology 15
Countries citing papers authored by Shuo Su
This map shows the geographic impact of Shuo Su'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 Shuo Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuo Su more than expected).
Fields of papers citing papers by Shuo Su
This network shows the impact of papers produced by Shuo Su. 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 Shuo Su. The network helps show where Shuo Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuo Su, 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 | 2021 | 65 | |
| 2 | 2020 | 62 | |
| 3 | 2018 | 50 | |
| 4 | 2019 | 37 | |
| 5 | 2022 | 20 | |
| 6 | 2019 | 17 | |
| 7 | 2020 | 9 | |
| 8 | 2020 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2025 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2025 | 0 |
About Shuo Su
Shuo Su is a scholar working on Infectious Diseases, Animal Science and Zoology, Plant Science, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 12 papers that have together received 277 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (8 papers), Plant Virus Research Studies (4 papers), Viral Infections and Vectors (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Viral Infections and Immunology Research (3 papers), RNA and protein synthesis mechanisms (2 papers), Virus-based gene therapy research (2 papers) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Animal Science and Zoology (206 citations), Infectious Diseases (139 citations), Genetics (135 citations), Cardiology and Cardiovascular Medicine (94 citations) and Endocrinology (15 citations). Shuo Su has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Jiyong Zhou, Giovanni Franzo, Gairu Li, Ben M. Hause, Robert Fux, Gang Xing, Cheng Zhang, Joaquím Segalés, Eric Delwart and Wanting He. Their work appears in journals such as Veterinary Microbiology, Viruses, Applied Microbiology and Biotechnology, Molecular Phylogenetics and Evolution and Virulence.
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.