Zhangling Fan
Impact in
- Virology top 10%
- Poxvirus research and outbreaks
- Biotechnology top 10%
- Listeria monocytogenes in Food Safety
Papers in
-
- Bacillus and Francisella bacterial research 3
- CRISPR and Genetic Engineering 2
- Virology 7
- Poxvirus research and outbreaks 4
- HIV Research and Treatment 3
- Co-authors
- Huanling Wang (2 shared papers)Fengwen Xu (12 shared papers)Fei Guo (10 shared papers)Fei Zhao (10 shared papers)Wei Liang (8 shared papers)Yu Huang (9 shared papers)Jing Xie (1 shared paper)Shan Mei (10 shared papers)
- Journals
- International Journal of Infectious Diseases (2 papers)Diabetes Metabolic Syndrome and Obesity (2 papers)Human Gene Therapy (1 paper)PLoS Genetics (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Zhangling Fan
18 papers receiving 345 citations
Peers
Comparison fields: 5 of 65
- Virology 45
- Biotechnology 53
- Infectious Diseases 106
- Immunology 108
- Epidemiology 93
Countries citing papers authored by Zhangling Fan
This map shows the geographic impact of Zhangling 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 Zhangling Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhangling Fan more than expected).
Fields of papers citing papers by Zhangling Fan
This network shows the impact of papers produced by Zhangling 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 Zhangling Fan. The network helps show where Zhangling Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhangling 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 | 2022 | 75 | |
| 2 | 2021 | 60 | |
| 3 | 2019 | 57 | |
| 4 | 2023 | 42 | |
| 5 | 2022 | 21 | |
| 6 | 2019 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 10 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 1993 | 1 | |
| 19 | 2024 | 0 |
About Zhangling Fan
Zhangling Fan is a scholar working on Molecular Biology, Virology, Immunology, Infectious Diseases and Epidemiology, having authored 19 papers that have together received 346 indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (4 papers), interferon and immune responses (4 papers), HIV Research and Treatment (3 papers), Bacillus and Francisella bacterial research (3 papers), Plant Virus Research Studies (2 papers), Influenza Virus Research Studies (2 papers), CRISPR and Genetic Engineering (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Virology (45 citations), Biotechnology (53 citations), Infectious Diseases (106 citations), Immunology (108 citations) and Epidemiology (93 citations). Zhangling Fan has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Huanling Wang, Fengwen Xu, Fei Guo, Fei Zhao, Wei Liang, Yu Huang, Jing Xie, Shan Mei, Shan Cen and Chen Liang. Their work appears in journals such as International Journal of Infectious Diseases, Diabetes Metabolic Syndrome and Obesity, Human Gene Therapy, PLoS Genetics and Nature Communications.
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.