Ailing Fu
Impact in
- Neurology top 5%
- Barrier Structure and Function Studies
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- Computational Drug Discovery Methods
Papers in
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- Nanoparticle-Based Drug Delivery 9
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- Barrier Structure and Function Studies 6
- Co-authors
- Le Zhang (4 shared papers)Jiyu Fan (1 shared paper)Chen Fu (15 shared papers)Jin Li (1 shared paper)Zizhen Zhao (17 shared papers)Rajendiran Keerthiga (7 shared papers)De‐Sheng Pei (7 shared papers)Manji Sun (3 shared papers)
- Journals
- Brain Research (6 papers)Materials Science and Engineering C (3 papers)Pharmaceutical Research (3 papers)International Journal of Biological Sciences (3 papers)Mitochondrion (3 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Ailing Fu
61 papers receiving 2.8k citations
Ailing Fu's Hit Papers
Peers
Comparison fields: 5 of 117
- Neurology 214
- Computational Theory and Mathematics 442
- Biomaterials 264
- Drug Discovery 4
- Molecular Biology 785
Countries citing papers authored by Ailing Fu
This map shows the geographic impact of Ailing Fu'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 Ailing Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ailing Fu more than expected).
Fields of papers citing papers by Ailing Fu
This network shows the impact of papers produced by Ailing Fu. 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 Ailing Fu. The network helps show where Ailing Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ailing Fu, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Progress in molecular docking Hit paper breakdown → | 2019 | 450 |
| 2 | An Overview of Scoring Functions Used for Protein–Ligand Interactions in Molecular Docking Hit paper breakdown → | 2019 | 330 |
| 3 | 2017 | 181 | |
| 4 | 2006 | 130 | |
| 5 | 2017 | 124 | |
| 6 | 2019 | 119 | |
| 7 | 2019 | 81 | |
| 8 | 2019 | 75 | |
| 9 | 2021 | 70 | |
| 10 | 2018 | 64 | |
| 11 | 2012 | 63 | |
| 12 | 2017 | 61 | |
| 13 | 2020 | 60 | |
| 14 | 2020 | 59 | |
| 15 | 2018 | 56 | |
| 16 | 2018 | 53 | |
| 17 | 2010 | 51 | |
| 18 | 2010 | 47 | |
| 19 | 2008 | 43 | |
| 20 | 2017 | 43 |
About Ailing Fu
Ailing Fu is a scholar working on Biomaterials, Neurology, Molecular Biology, Physiology and Cellular and Molecular Neuroscience, having authored 61 papers that have together received 2.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Nanoparticle-Based Drug Delivery (9 papers), Alzheimer's disease research and treatments (7 papers), Barrier Structure and Function Studies (6 papers), RNA Interference and Gene Delivery (6 papers), Curcumin's Biomedical Applications (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Neurology (214 citations), Computational Theory and Mathematics (442 citations), Biomaterials (264 citations), Drug Discovery (4 citations) and Molecular Biology (785 citations). Ailing Fu has collaborated with scholars based in China, United States and India. Frequent co-authors include Le Zhang, Jiyu Fan, Chen Fu, Jin Li, Zizhen Zhao, Rajendiran Keerthiga, De‐Sheng Pei, Manji Sun, Zhaohui Dong and Xiaorong Li. Their work appears in journals such as Brain Research, Materials Science and Engineering C, Pharmaceutical Research, International Journal of Biological Sciences and Mitochondrion.
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.