Wei Fu
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Pharmacology top 5%
Papers in
-
- Receptor Mechanisms and Signaling 27
- Pharmacological Receptor Mechanisms and Effects 21
- Nicotinic Acetylcholine Receptors Study 6
-
- Neuropeptides and Animal Physiology 21
- Co-authors
- Jinlan Ruan (10 shared papers)Changyou Zhan (4 shared papers)Weiyue Lu (4 shared papers)Xiaoli Wei (4 shared papers)Qing Shen (8 shared papers)Yongfang Lei (8 shared papers)Wei Lü (2 shared papers)Zeyu Xiao (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (10 papers)European Journal of Medicinal Chemistry (7 papers)Acta Pharmacologica Sinica (4 papers)Journal of Ethnopharmacology (4 papers)ACS Chemical Neuroscience (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Fu
93 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 122
- Biomaterials 311
- Pharmacology 235
- Molecular Biology 987
- Biotechnology 121
- Cellular and Molecular Neuroscience 241
Countries citing papers authored by Wei Fu
This map shows the geographic impact of Wei 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 Wei Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Fu more than expected).
Fields of papers citing papers by Wei Fu
This network shows the impact of papers produced by Wei 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 Wei Fu. The network helps show where Wei Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 280 | |
| 2 | 2015 | 156 | |
| 3 | 2010 | 131 | |
| 4 | 2011 | 123 | |
| 5 | 2016 | 112 | |
| 6 | 2015 | 103 | |
| 7 | 2019 | 91 | |
| 8 | 2008 | 72 | |
| 9 | 2012 | 71 | |
| 10 | 2010 | 58 | |
| 11 | 2020 | 51 | |
| 12 | 2010 | 48 | |
| 13 | 2004 | 48 | |
| 14 | 2011 | 44 | |
| 15 | 2010 | 42 | |
| 16 | 2002 | 38 | |
| 17 | 2008 | 36 | |
| 18 | 2002 | 36 | |
| 19 | 2007 | 34 | |
| 20 | 2013 | 34 |
About Wei Fu
Wei Fu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Computational Theory and Mathematics and Organic Chemistry, having authored 102 papers that have together received 2.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (27 papers), Pharmacological Receptor Mechanisms and Effects (21 papers), Neuropeptides and Animal Physiology (21 papers), Computational Drug Discovery Methods (10 papers), Nicotinic Acetylcholine Receptors Study (6 papers), Cancer Research and Treatments (5 papers), Nanoplatforms for cancer theranostics (5 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). The work is most often cited by research in Biomaterials (311 citations), Pharmacology (235 citations), Molecular Biology (987 citations), Biotechnology (121 citations) and Cellular and Molecular Neuroscience (241 citations). Wei Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinlan Ruan, Changyou Zhan, Weiyue Lu, Xiaoli Wei, Qing Shen, Yongfang Lei, Wei Lü, Zeyu Xiao, Binbin Zheng and Shuai Gao. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Acta Pharmacologica Sinica, Journal of Ethnopharmacology and ACS Chemical Neuroscience.
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.