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 10
- COVID-19 Clinical Research Studies 5
- Virology 13
- HIV Research and Treatment 13
- Co-authors
- Shibo Jiang (24 shared papers)Lu Lu (16 shared papers)Lanying Du (5 shared papers)Qian Wang (13 shared papers)Haitao Yang (1 shared paper)Min‐Hua Luo (3 shared papers)Wei Xu (11 shared papers)Shu Li (2 shared papers)
- Journals
- AIDS (3 papers)Virus Research (2 papers)Scientific Reports (2 papers)Molecules (2 papers)Emerging Microbes & Infections (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shan Su
42 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 111
- Virology 172
- Infectious Diseases 570
- Immunology 320
- Animal Science and Zoology 77
- Epidemiology 250
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 158 | |
| 2 | 2020 | 119 | |
| 3 | 2021 | 104 | |
| 4 | 2014 | 96 | |
| 5 | 2019 | 49 | |
| 6 | 2020 | 34 | |
| 7 | 2015 | 33 | |
| 8 | 2019 | 30 | |
| 9 | 2021 | 29 | |
| 10 | 2015 | 28 | |
| 11 | 2022 | 28 | |
| 12 | 2021 | 27 | |
| 13 | 2022 | 27 | |
| 14 | 2016 | 27 | |
| 15 | 2017 | 25 | |
| 16 | 2019 | 25 | |
| 17 | 2023 | 22 | |
| 18 | 2016 | 22 | |
| 19 | 2019 | 19 | |
| 20 | 2020 | 15 |
About Shan Su
Shan Su is a scholar working on Infectious Diseases, Virology, Immunology, Epidemiology and Molecular Biology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (13 papers), SARS-CoV-2 and COVID-19 Research (11 papers), HIV/AIDS drug development and treatment (10 papers), interferon and immune responses (7 papers), Immune Cell Function and Interaction (5 papers), COVID-19 Clinical Research Studies (5 papers), vaccines and immunoinformatics approaches (5 papers) and Erythrocyte Function and Pathophysiology (4 papers). The work is most often cited by research in Virology (172 citations), Infectious Diseases (570 citations), Immunology (320 citations), Animal Science and Zoology (77 citations) and Epidemiology (250 citations). Shan Su has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shibo Jiang, Lu Lu, Lanying Du, Qian Wang, Haitao Yang, Min‐Hua Luo, Wei Xu, Shu Li, Shuai Xia and Weihua Li. Their work appears in journals such as AIDS, Virus Research, Scientific Reports, Molecules and Emerging Microbes & Infections.
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.