Changfa Fan
- Infectious Diseases top 1%
- Viral gastroenteritis research and epidemiology 9
- SARS-CoV-2 and COVID-19 Research 7
- Animal Science and Zoology top 5%
- Modeling and Simulation top 5%
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- Respiratory viral infections research 5
- Virology and Viral Diseases 3
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- Viral Infections and Immunology Research 8
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- Virus-based gene therapy research 6
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- RNA regulation and disease 3
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- Xenotransplantation and immune response 3
- Co-authors
- Youchun WangWeijin HuangLi ZhangQianqian LiMeng WangJianhui NieQiyu SunLingling Nie
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Changfa Fan
32 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Infectious Diseases 1.1k
- Animal Science and Zoology 171
- Modeling and Simulation 41
- Immunology 169
- Epidemiology 212
Countries citing papers authored by Changfa Fan
This map shows the geographic impact of Changfa Fan'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 Changfa Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changfa Fan more than expected).
Fields of papers citing papers by Changfa Fan
This network shows the impact of papers produced by Changfa Fan. 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 Changfa Fan. The network helps show where Changfa Fan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Changfa Fan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 9 | |
| 7 | 2021 | 11 | |
| 8 | Cathepsin L plays a key role in SARS-CoV-2 infection in humans and humanized mice and is a promising target for new drug developmentbreakdown → | 2021 | 330 |
| 9 | 2020 | 241 | |
| 10 | 2020 | 4 | |
| 11 | 2018 | 16 | |
| 12 | 2017 | 76 | |
| 13 | 2017 | 10 | |
| 14 | 2017 | 6 | |
| 15 | 2016 | 27 | |
| 16 | 2015 | 18 | |
| 17 | 2006 | 34 | |
| 18 | 2005 | 21 | |
| 19 | 2005 | 13 | |
| 20 | 2004 | 11 |
About Changfa Fan
Changfa Fan is a scholar working on Infectious Diseases, Transplantation and Cardiology and Cardiovascular Medicine, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (9 papers), Viral Infections and Immunology Research (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Virus-based gene therapy research (6 papers), Respiratory viral infections research (5 papers), Virology and Viral Diseases (3 papers), RNA regulation and disease (3 papers) and Xenotransplantation and immune response (3 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Animal Science and Zoology (171 citations) and Modeling and Simulation (41 citations). Changfa Fan has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Youchun Wang, Weijin Huang, Li Zhang, Qianqian Li, Meng Wang, Jianhui Nie, Qiyu Sun, Lingling Nie, Xiaoyu Li and Qiong Lu. Their work appears in journals such as Scientific Reports, Vaccine, Emerging Microbes & Infections, Journal of Medical Virology and Antiviral Research.
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.