Fang Liu
- Molecular Biology top 5%
- Heme Oxygenase-1 and Carbon Monoxide 8
- RNA modifications and cancer 3
- Rehabilitation top 2%
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- Radiation Effects in Electronics 4
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- Neonatal Health and Biochemistry 4
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- Effects of Radiation Exposure 4
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- Cardiac Fibrosis and Remodeling 4
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- Tissue Engineering and Regenerative Medicine 3
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- Fungal Biology and Applications 3
- Co-authors
- Qi WanYu Tian WangHyman B. NiznikAugustine M.K. ChoiLeo E. OtterbeinSherrie L. OtterbeinXian‐Min YuZdenek B. Pristupa
- Journals
- Nature (1 paper)Journal of the American Chemical Society (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fang Liu
121 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Endocrine and Autonomic Systems 248
- Molecular Biology 1.9k
- Critical Care and Intensive Care Medicine 137
- Rehabilitation 173
- Cellular and Molecular Neuroscience 418
Countries citing papers authored by Fang Liu
This map shows the geographic impact of Fang Liu'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 Fang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Liu more than expected).
Fields of papers citing papers by Fang Liu
This network shows the impact of papers produced by Fang Liu. 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 Fang Liu. The network helps show where Fang Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fang Liu, 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 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 0 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2017 | 19 | |
| 16 | Occurrence and distribution of seven bee viruses in Apis mellifera and Apis cerana in Anhui Province, China. | 2015 | 3 |
| 17 | 2013 | 11 | |
| 18 | Comparison of the efficacy of six different procedures for determining protein in crude polysaccharide preparations from medicinal fungi. | 2010 | 5 |
| 19 | 2009 | 81 | |
| 20 | Time domain analysis of the transient electromagnetic measurement system | 1988 | 1 |
About Fang Liu
Fang Liu is a scholar working on Biological Psychiatry, Molecular Biology and Cancer Research, having authored 132 papers that have together received 3.4k indexed citations. Recurring topics across this work include Heme Oxygenase-1 and Carbon Monoxide (8 papers), Radiation Effects in Electronics (4 papers), Neonatal Health and Biochemistry (4 papers), Effects of Radiation Exposure (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), RNA modifications and cancer (3 papers) and Fungal Biology and Applications (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (248 citations), Molecular Biology (1.9k citations) and Critical Care and Intensive Care Medicine (137 citations). Fang Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qi Wan, Yu Tian Wang, Hyman B. Niznik, Augustine M.K. Choi, Leo E. Otterbein, Sherrie L. Otterbein, Xian‐Min Yu, Zdenek B. Pristupa, Longqing Wang and Wei Liu. Their work appears in journals such as Nature, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.