Shan Su
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- HIV/AIDS drug development and treatment
- Viral Infections and Vectors
Papers in
-
- SARS-CoV-2 and COVID-19 Research 11
- HIV/AIDS drug development and treatment 6
- COVID-19 Clinical Research Studies 5
- Virology 11
- HIV Research and Treatment 11
- Co-authors
- Shibo Jiang (24 shared papers)Lanying Du (5 shared papers)Lu Lu (16 shared papers)Qian Wang (13 shared papers)Haitao Yang (1 shared paper)Min‐Hua Luo (3 shared papers)Shu Li (2 shared papers)Wei Xu (11 shared papers)
- Journals
- Blood (3 papers)Scientific Reports (3 papers)AIDS (3 papers)Signal Transduction and Targeted Therapy (2 papers)Journal of Virology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Shan Su
43 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 116
- Virology 170
- Infectious Diseases 555
- Immunology 321
- Epidemiology 254
- Animal Science and Zoology 76
Countries citing papers authored by Shan Su
This map shows the geographic impact of Shan 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 Shan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan Su more than expected).
Fields of papers citing papers by Shan Su
This network shows the impact of papers produced by Shan 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 Shan Su. The network helps show where Shan Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Shan 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
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 164 | |
| 2 | 2020 | 126 | |
| 3 | 2021 | 110 | |
| 4 | 2014 | 102 | |
| 5 | 2019 | 49 | |
| 6 | 2020 | 37 | |
| 7 | 2015 | 34 | |
| 8 | 2022 | 31 | |
| 9 | 2019 | 30 | |
| 10 | 2021 | 29 | |
| 11 | 2021 | 29 | |
| 12 | 2016 | 28 | |
| 13 | 2022 | 28 | |
| 14 | 2015 | 28 | |
| 15 | 2019 | 26 | |
| 16 | 2017 | 25 | |
| 17 | 2023 | 24 | |
| 18 | 2016 | 22 | |
| 19 | 2019 | 20 | |
| 20 | 2017 | 15 |
About Shan Su
Shan Su is a scholar working on Infectious Diseases, Virology, Epidemiology, Molecular Biology and Immunology, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), HIV Research and Treatment (11 papers), interferon and immune responses (7 papers), HIV/AIDS drug development and treatment (6 papers), COVID-19 Clinical Research Studies (5 papers), vaccines and immunoinformatics approaches (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Virology (170 citations), Infectious Diseases (555 citations), Immunology (321 citations), Epidemiology (254 citations) and Animal Science and Zoology (76 citations). Shan Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shibo Jiang, Lanying Du, Lu Lu, Qian Wang, Haitao Yang, Min‐Hua Luo, Shu Li, Wei Xu, Shuai Xia and Weihua Li. Their work appears in journals such as Blood, Scientific Reports, AIDS, Signal Transduction and Targeted Therapy and Journal of 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.