Mifang Liang
- Infectious Diseases top 0.5%
- Viral Infections and Vectors 78
- Viral Infections and Outbreaks Research 36
- SARS-CoV-2 and COVID-19 Research 9
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- Vector-Borne Animal Diseases 36
- Global and Planetary Change top 2%
- Fire effects on ecosystems 18
- Biotechnology top 5%
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- Mosquito-borne diseases and control 11
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- Monoclonal and Polyclonal Antibodies Research 14
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- Respiratory viral infections research 12
Mifang Liang
117 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 108
- Infectious Diseases 2.3k
- Ecology, Evolution, Behavior and Systematics 986
- Global and Planetary Change 787
- Biotechnology 191
- Public Health, Environmental and Occupational Health 560
Countries citing papers authored by Mifang Liang
This map shows the geographic impact of Mifang Liang'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 Mifang Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mifang Liang more than expected).
Fields of papers citing papers by Mifang Liang
This network shows the impact of papers produced by Mifang Liang. 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 Mifang Liang. The network helps show where Mifang Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mifang Liang, 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 | 2024 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 9 | |
| 5 | 2021 | 17 | |
| 6 | 2021 | 0 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 8 | |
| 9 | [Establishment of Quality Control System of Nucleic Acid Detection for Ebola Virus in Sierra Leone-China Friendship Biological Safety Laboratory]. | 2016 | 0 |
| 10 | 2015 | 67 | |
| 11 | [Severe fever with thrombocytopenia syndrome virus nucleoprotein specifically binds to 60kD SSA/Ro protein in host cells]. | 2014 | 0 |
| 12 | 2014 | 1 | |
| 13 | 2013 | 98 | |
| 14 | 2012 | 36 | |
| 15 | 2012 | 259 | |
| 16 | 2003 | 2 | |
| 17 | 2003 | 51 | |
| 18 | Expression, purification and identification of intact recombinant IgG antibody to influenza virus with neutralizing activity in baculovirus/insect system | 2001 | 1 |
| 19 | 2001 | 48 | |
| 20 | 1997 | 27 |
About Mifang Liang
Mifang Liang is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Virology, having authored 127 papers that have together received 3.1k indexed citations. Recurring topics across this work include Viral Infections and Vectors (78 papers), Viral Infections and Outbreaks Research (36 papers), Vector-Borne Animal Diseases (36 papers), Fire effects on ecosystems (18 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Respiratory viral infections research (12 papers), Mosquito-borne diseases and control (11 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). The work is most often cited by research in Infectious Diseases (2.3k citations), Ecology, Evolution, Behavior and Systematics (986 citations) and Global and Planetary Change (787 citations). Mifang Liang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dexin Li, Quanfu Zhang, Chuan Li, Jiandong Li, Shiwen Wang, Zheng Xing, Xiaolin Jiang, Carol J. Cardona, Xian Qi and Connie S. Schmaljohn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.