Jun Su
Impact in
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- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
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- SARS-CoV-2 and COVID-19 Research 5
- COVID-19 Clinical Research Studies 4
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- Animal Virus Infections Studies 6
- Co-authors
- Guobing Chen (7 shared papers)Chanchan Xiao (7 shared papers)Lijuan Gao (6 shared papers)Oscar Junhong Luo (6 shared papers)Pengcheng Wang (3 shared papers)Dake Huang (1 shared paper)Zhaolin Gu (1 shared paper)Xiaomei Zhang (2 shared papers)
- Journals
- Virus Genes (3 papers)Virus Research (3 papers)Surfaces and Interfaces (2 papers)Blood (1 paper)Molecular Immunology (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Jun Su
25 papers receiving 131 citations
Peers
Comparison fields: 5 of 54
- Infectious Diseases 47
- Immunology 27
- Animal Science and Zoology 11
- Critical Care and Intensive Care Medicine 4
- Hematology 8
Countries citing papers authored by Jun Su
This map shows the geographic impact of Jun 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 Jun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Su more than expected).
Fields of papers citing papers by Jun Su
This network shows the impact of papers produced by Jun 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 Jun Su. The network helps show where Jun Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 19 | |
| 2 | 2014 | 14 | |
| 3 | 2022 | 12 | |
| 4 | 2022 | 8 | |
| 5 | 2016 | 8 | |
| 6 | 2024 | 8 | |
| 7 | 2025 | 8 | |
| 8 | 2017 | 7 | |
| 9 | 2021 | 7 | |
| 10 | 2011 | 7 | |
| 11 | 2016 | 5 | |
| 12 | 2019 | 5 | |
| 13 | 2015 | 4 | |
| 14 | 2023 | 3 | |
| 15 | 2025 | 3 | |
| 16 | 2016 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2013 | 2 | |
| 20 | 2023 | 1 |
About Jun Su
Jun Su is a scholar working on Infectious Diseases, Animal Science and Zoology, Genetics, Immunology and Molecular Biology, having authored 28 papers that have together received 132 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Animal Virus Infections Studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers), COVID-19 Clinical Research Studies (4 papers), Viral Infections and Immunology Research (3 papers), Gas Sensing Nanomaterials and Sensors (3 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers) and Virology and Viral Diseases (2 papers). The work is most often cited by research in Infectious Diseases (47 citations), Immunology (27 citations), Animal Science and Zoology (11 citations), Critical Care and Intensive Care Medicine (4 citations) and Hematology (8 citations). Jun Su has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Guobing Chen, Chanchan Xiao, Lijuan Gao, Oscar Junhong Luo, Pengcheng Wang, Dake Huang, Zhaolin Gu, Xiaomei Zhang, Weiquan Liu and Zhigang Wang. Their work appears in journals such as Virus Genes, Virus Research, Surfaces and Interfaces, Blood and Molecular Immunology.
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.