Fuqiang Ban
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.2%
- Materials Chemistry top 10%
- Organic Chemistry top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Artem CherkasovAnh‐Tien TonFrancesco GentileMichael HsingRussell J. BoydPaul S. RennieEric LeblancTong He
- Topics
- Prostate Cancer Treatment and Research (21 papers)Computational Drug Discovery Methods (18 papers)Estrogen and related hormone effects (15 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryNature Communications
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Fuqiang Ban
64 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 1.6k
- Computational Theory and Mathematics 1.4k
- Materials Chemistry 459
- Organic Chemistry 441
- Pulmonary and Respiratory Medicine 416
Countries citing papers authored by Fuqiang Ban
This map shows the geographic impact of Fuqiang Ban'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 Fuqiang Ban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuqiang Ban more than expected).
Fields of papers citing papers by Fuqiang Ban
This network shows the impact of papers produced by Fuqiang Ban. 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 Fuqiang Ban. The network helps show where Fuqiang Ban may publish in the future.
Co-authorship network of co-authors of Fuqiang Ban
This figure shows the co-authorship network connecting the top 25 collaborators of Fuqiang Ban. A scholar is included among the top collaborators of Fuqiang Ban based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fuqiang Ban. Fuqiang Ban is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 13 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | Artificial intelligence–enabled virtual screening of ultra-large chemical libraries with deep dockingbreakdown → | 218 |
| 6 | 41 | |
| 7 | Deep Docking: A Deep Learning Platform for Augmentation of Structure Based Drug Discoverybreakdown → | 259 |
| 8 | 22 | |
| 9 | 154 | |
| 10 | Rapid Identification of Potential Inhibitors of SARS‐CoV‐2 Main Protease by Deep Docking of 1.3 Billion Compoundsbreakdown → | 382 |
| 11 | 3 | |
| 12 | 93 | |
| 13 | 14 | |
| 14 | 38 | |
| 15 | 27 | |
| 16 | 59 | |
| 17 | 19 | |
| 18 | 74 | |
| 19 | 23 | |
| 20 | 32 |
About Fuqiang Ban
Fuqiang Ban is a scholar working on Computational Theory and Mathematics, Pulmonary and Respiratory Medicine and Genetics, having authored 64 papers that have together received 3.0k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (21 papers), Computational Drug Discovery Methods (18 papers) and Estrogen and related hormone effects (15 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Molecular Biology (1.6k citations) and Infectious Diseases (374 citations). Fuqiang Ban has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Artem Cherkasov, Anh‐Tien Ton, Francesco Gentile, Michael Hsing, Russell J. Boyd, Paul S. Rennie, Eric Leblanc, Tong He, Martin Ester and Michael Fernández. Their work appears in journals such as Journal of the American Chemical Society, 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.