Jun Wei Su
Impact in
Papers in
-
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 5
- Viral gastroenteritis research and epidemiology 2
-
- Animal Virus Infections Studies 6
- Co-authors
- Guobing Chen (7 shared papers)Chanchan Xiao (6 shared papers)Lijuan Gao (5 shared papers)Oscar Junhong Luo (5 shared papers)Pengcheng Wang (3 shared papers)Weiquan Liu (7 shared papers)Huanxing Su (2 shared papers)Dake Huang (1 shared paper)
- Journals
- Virus Genes (3 papers)Virus Research (3 papers)Nature Aging (2 papers)Surfaces and Interfaces (2 papers)Frontiers in Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Jun Wei Su
25 papers receiving 277 citations
Peers
Comparison fields: 5 of 67
- Aging 12
- Geriatrics and Gerontology 16
- Infectious Diseases 63
- Immunology 71
- Neurology 16
Countries citing papers authored by Jun Wei Su
This map shows the geographic impact of Jun Wei 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 Wei 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 Wei Su more than expected).
Fields of papers citing papers by Jun Wei Su
This network shows the impact of papers produced by Jun Wei 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 Wei Su. The network helps show where Jun Wei Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wei 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 | 106 | |
| 2 | 2023 | 29 | |
| 3 | 2022 | 20 | |
| 4 | 2014 | 14 | |
| 5 | 2022 | 12 | |
| 6 | 2025 | 10 | |
| 7 | 2024 | 10 | |
| 8 | 2021 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2016 | 8 | |
| 11 | 2019 | 7 | |
| 12 | 2017 | 7 | |
| 13 | 2011 | 7 | |
| 14 | 2025 | 6 | |
| 15 | 2016 | 5 | |
| 16 | 2015 | 4 | |
| 17 | 2025 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2023 | 2 |
About Jun Wei Su
Jun Wei Su is a scholar working on Infectious Diseases, Animal Science and Zoology, Genetics, Geriatrics and Gerontology and Electrochemistry, having authored 28 papers that have together received 279 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (6 papers), Virus-based gene therapy research (6 papers), COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Viral Infections and Immunology Research (3 papers), Gas Sensing Nanomaterials and Sensors (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and Metal-Organic Frameworks: Synthesis and Applications (2 papers). The work is most often cited by research in Aging (12 citations), Geriatrics and Gerontology (16 citations), Infectious Diseases (63 citations), Immunology (71 citations) and Neurology (16 citations). Jun Wei 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, Weiquan Liu, Huanxing Su, Dake Huang, Jing Song and Xiongfei Chen. Their work appears in journals such as Virus Genes, Virus Research, Nature Aging, Surfaces and Interfaces and Frontiers in Microbiology.
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.