Jun Fang
- Infectious Diseases top 5%
- Neurology top 10%
- Molecular Biology
- Immunology
- Animal Science and Zoology top 10%
- Co-authors
- Qingqing LinZhiwu TanKa‐Wai CheungKwok‐Yung YuenKenji NishiuraJie PengZhiwei ChenAndrew A. Lackner
- Topics
- Geophysics and Gravity Measurements (2 papers)SARS-CoV-2 and COVID-19 Research (1 paper)Sustainable Building Design and Assessment (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jun Fang
9 papers receiving 575 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Infectious Diseases 490
- Neurology 142
- Molecular Biology 94
- Immunology 81
- Animal Science and Zoology 41
Countries citing papers authored by Jun Fang
This map shows the geographic impact of Jun Fang'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 Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Fang more than expected).
Fields of papers citing papers by Jun Fang
This network shows the impact of papers produced by Jun Fang. 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 Fang. The network helps show where Jun Fang may publish in the future.
Co-authorship network of co-authors of Jun Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Fang. A scholar is included among the top collaborators of Jun Fang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Fang. Jun Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | Anti–spike IgG causes severe acute lung injury by skewing macrophage responses during acute SARS-CoV infectionbreakdown → | 539 |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 1 |
About Jun Fang
Jun Fang is a scholar working on Computer Graphics and Computer-Aided Design, Biochemistry and Oceanography, having authored 11 papers that have together received 592 indexed citations. Recurring topics across this work include Geophysics and Gravity Measurements (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and Sustainable Building Design and Assessment (1 paper). The work is most often cited by research in Infectious Diseases (490 citations), Neurology (142 citations) and Modeling and Simulation (20 citations). Jun Fang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qingqing Lin, Zhiwu Tan, Ka‐Wai Cheung, Kwok‐Yung Yuen, Kenji Nishiura, Jie Peng, Zhiwei Chen, Andrew A. Lackner, Haibo Wang and Xavier Álvarez. Their work appears in journals such as Scientific Reports, JCI Insight and Oncology.
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.