Pu Wang
Impact in
- Biological Psychiatry top 5%
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 4
- Physiology 23
- Alzheimer's disease research and treatments 20
- Co-authors
- Zhan‐You Wang (17 shared papers)Κωνσταντίνος Κωνσταντόπουλος (10 shared papers)Fei Zhu (6 shared papers)Long‐Long Cao (9 shared papers)Xueshi Huang (6 shared papers)Siling Wang (3 shared papers)Xin Yu (10 shared papers)Colin D. Paul (1 shared paper)
- Journals
- Frontiers in Molecular Neuroscience (4 papers)The FASEB Journal (4 papers)Scientific Reports (4 papers)Oncotarget (3 papers)Molecular Neurobiology (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Pu Wang
77 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 123
- Biological Psychiatry 108
- Neurology 198
- Physiology 479
- Pharmacology 313
- Biomaterials 247
Countries citing papers authored by Pu Wang
This map shows the geographic impact of Pu Wang'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 Pu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Wang more than expected).
Fields of papers citing papers by Pu Wang
This network shows the impact of papers produced by Pu Wang. 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 Pu Wang. The network helps show where Pu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu Wang, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 207 | |
| 2 | 2013 | 180 | |
| 3 | 2012 | 162 | |
| 4 | 2004 | 131 | |
| 5 | 2015 | 102 | |
| 6 | 2016 | 101 | |
| 7 | 2010 | 94 | |
| 8 | 2014 | 84 | |
| 9 | 2016 | 78 | |
| 10 | 2017 | 77 | |
| 11 | 2011 | 70 | |
| 12 | 2021 | 69 | |
| 13 | 2010 | 65 | |
| 14 | 2013 | 63 | |
| 15 | 2018 | 54 | |
| 16 | 2015 | 51 | |
| 17 | 2015 | 51 | |
| 18 | 2017 | 50 | |
| 19 | 2010 | 38 | |
| 20 | 2021 | 36 |
About Pu Wang
Pu Wang is a scholar working on Molecular Biology, Physiology, Pharmacology, Oncology and Cancer Research, having authored 78 papers that have together received 2.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (20 papers), Inflammatory mediators and NSAID effects (11 papers), Osteoarthritis Treatment and Mechanisms (8 papers), Trace Elements in Health (6 papers), NF-κB Signaling Pathways (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Drug Transport and Resistance Mechanisms (4 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Biological Psychiatry (108 citations), Neurology (198 citations), Physiology (479 citations), Pharmacology (313 citations) and Biomaterials (247 citations). Pu Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhan‐You Wang, Κωνσταντίνος Κωνσταντόπουλος, Fei Zhu, Long‐Long Cao, Xueshi Huang, Siling Wang, Xin Yu, Colin D. Paul, Shih-Hsun Chen and Chuang Guo. Their work appears in journals such as Frontiers in Molecular Neuroscience, The FASEB Journal, Scientific Reports, Oncotarget and Molecular Neurobiology.
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.