Fan Xing
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
-
- Virus-based gene therapy research
Papers in
-
- RNA Interference and Gene Delivery 2
- Genetics 6
- Virus-based gene therapy research 6
- Co-authors
- Deyin Guo (8 shared papers)Liu Cao (5 shared papers)Guangmei Yan (6 shared papers)Yanxi Ji (4 shared papers)Wenbo Zhu (5 shared papers)Haipeng Zhang (6 shared papers)Yuan Lin (4 shared papers)Yu Zhang (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Cancer Research (3 papers)Physical review. A (2 papers)Journal for ImmunoTherapy of Cancer (2 papers)Cell Research (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Fan Xing
25 papers receiving 417 citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 117
- Genetics 90
- Oncology 78
- Cancer Research 43
- Immunology 57
Countries citing papers authored by Fan Xing
This map shows the geographic impact of Fan Xing'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 Fan Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Xing more than expected).
Fields of papers citing papers by Fan Xing
This network shows the impact of papers produced by Fan Xing. 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 Fan Xing. The network helps show where Fan Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Fan Xing, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 107 | |
| 2 | 2017 | 56 | |
| 3 | 2019 | 35 | |
| 4 | 2021 | 31 | |
| 5 | 2022 | 27 | |
| 6 | 2016 | 23 | |
| 7 | 2016 | 22 | |
| 8 | 2023 | 19 | |
| 9 | 2021 | 19 | |
| 10 | 2017 | 16 | |
| 11 | 2021 | 14 | |
| 12 | 2022 | 10 | |
| 13 | 2024 | 7 | |
| 14 | 2022 | 6 | |
| 15 | 2023 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2025 | 3 | |
| 19 | 2025 | 3 | |
| 20 | 2022 | 3 |
About Fan Xing
Fan Xing is a scholar working on Molecular Biology, Genetics, Immunology, Infectious Diseases and Oncology, having authored 27 papers that have together received 421 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Quantum Information and Cryptography (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), RNA Interference and Gene Delivery (2 papers), interferon and immune responses (2 papers), Immune cells in cancer (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Infectious Diseases (117 citations), Genetics (90 citations), Oncology (78 citations), Cancer Research (43 citations) and Immunology (57 citations). Fan Xing has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Deyin Guo, Liu Cao, Guangmei Yan, Yanxi Ji, Wenbo Zhu, Haipeng Zhang, Yuan Lin, Yu Zhang, Yingjun Li and Jincun Zhao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research, Physical review. A, Journal for ImmunoTherapy of Cancer and Cell 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.