Fang Liu
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- Diabetes Treatment and Management 14
- Biochemistry top 2%
- Geriatrics and Gerontology top 5%
- Family Practice top 5%
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- Cancer, Hypoxia, and Metabolism 18
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- Statistical Methods in Clinical Trials 16
- Statistical Methods and Inference 13
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- Multi-Criteria Decision Making 15
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- Privacy-Preserving Technologies in Data 14
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- Liver Disease Diagnosis and Treatment 12
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- Mosquito-borne diseases and control 11
- Co-authors
- Demosthenes B. PanagiotakosYunsheng LiXiaozhuo ChenLei CaiKenneth R. OlsonEric R. DeLeonYunchuan KongRongsheng Zhao
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (5 papers)Gastroenterology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fang Liu
360 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 213
- Endocrinology, Diabetes and Metabolism 816
- Biochemistry 251
- Geriatrics and Gerontology 122
- Family Practice 68
- Applied Microbiology and Biotechnology 61
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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 33 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 8 | |
| 13 | 2020 | 5 | |
| 14 | 2019 | 7 | |
| 15 | 2018 | 41 | |
| 16 | 2018 | 6 | |
| 17 | 2017 | 4 | |
| 18 | 2017 | 1 | |
| 19 | 2013 | 71 | |
| 20 | Bayesian methods for statistical disclosure control in microdata. | 2003 | 2 |
About Fang Liu
Fang Liu is a scholar working on Statistics and Probability, Hepatology and Management Science and Operations Research, having authored 401 papers that have together received 6.8k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (18 papers), Statistical Methods in Clinical Trials (16 papers), Multi-Criteria Decision Making (15 papers), Diabetes Treatment and Management (14 papers), Privacy-Preserving Technologies in Data (14 papers), Statistical Methods and Inference (13 papers), Liver Disease Diagnosis and Treatment (12 papers) and Mosquito-borne diseases and control (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (816 citations), Biochemistry (251 citations) and Geriatrics and Gerontology (122 citations). Fang Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Demosthenes B. Panagiotakos, Yunsheng Li, Xiaozhuo Chen, Lei Cai, Kenneth R. Olson, Eric R. DeLeon, Yunchuan Kong, Rongsheng Zhao, Siqian Zheng and Pengxiang Zhou. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Gastroenterology.
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.