Ailing Fu

61 papers receiving 2.6k citations

Hit Papers

An Overview of Scoring Functions Used for Protein–Ligand Interactions in Molecular Docking 2019 · 277 citations
2772019202620212023100200300

Peers

Ailing Fu
Comparison fields: 5 of 136
  • Biological Psychiatry 53
  • Clinical Biochemistry 143
  • Biomaterials 269
  • Computational Theory and Mathematics 313
  • Molecular Biology 1.3k
Replace Monica Bucciantini with:
Monica Bucciantini Italy
Vasanthy Narayanaswami United States
Bin He China
Tamotsu Zako Japan
Zhangjian Huang China
Shuai Lü China
Hervé Galons France
Thomas P. Davis Australia
James I. Elliott United Kingdom
Ailing Fu relative to Monica Bucciantini Italy Monica Bucciantini's profile →
Citations per field
00.5×1.6×
Monica Bucciantini · 1×
Citations per year

Countries citing papers authored by Ailing Fu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ailing Fu Line = papers co-authored together Ailing Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Progress in molecular docking
Hit paper breakdown →
2019382
2
An Overview of Scoring Functions Used for Protein–Ligand Interactions in Molecular Docking
Hit paper breakdown →
2019277
3 2017155
4 2006125
5 2017114
6 2019100
7 201974
8 201974
9 201962
10 201760
11 201255
12 202155
13 202051
14 201851
15 201850
16 201048
17 202048
18 201844
19 200843
20 201042

About Ailing Fu

Ailing Fu is a scholar working on Molecular Biology, Behavioral Neuroscience, Biomaterials, Molecular Medicine and Biological Psychiatry, having authored 66 papers that have together received 2.6k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (13 papers), Mitochondrial Function and Pathology (11 papers), Virus-based gene therapy research (6 papers), Nanoparticle-Based Drug Delivery (6 papers), Nanocluster Synthesis and Applications (6 papers), Computational Drug Discovery Methods (5 papers), Alzheimer's disease research and treatments (4 papers) and Carbon and Quantum Dots Applications (4 papers). The work is most often cited by research in Biological Psychiatry (53 citations), Clinical Biochemistry (143 citations), Biomaterials (269 citations), Computational Theory and Mathematics (313 citations) and Molecular Biology (1.3k 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, De‐Sheng Pei, Ming Zhao, Zhaohui Dong, Bin Fu and Huajing Zhang. Their work appears in journals such as Brain Research, International Journal of Biological Sciences, Mitochondrion, Materials Science and Engineering C and Pharmaceutical Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026