Peixiang Wang
Impact in
- Rheumatology top 1%
- Glycogen Storage Diseases and Myoclonus
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders
Papers in
-
- Protein Tyrosine Phosphatases 7
- Receptor Mechanisms and Signaling 3
- Rheumatology 23
- Glycogen Storage Diseases and Myoclonus 23
- Co-authors
- Berge A. Minassian (23 shared papers)Xiaochu Zhao (14 shared papers)Tianru Jin (8 shared papers)Julie Turnbull (8 shared papers)Cameron Ackerley (8 shared papers)Nela Pencea (6 shared papers)Felix Nitschké (6 shared papers)Alessandra Ruggieri (4 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Cell Reports (2 papers)Annals of Clinical and Translational Neurology (2 papers)Endocrinology (2 papers)Brain (2 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Peixiang Wang
59 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Rheumatology 609
- Genetics 517
- Neurology 231
- Physiology 253
- Molecular Biology 492
Countries citing papers authored by Peixiang Wang
This map shows the geographic impact of Peixiang 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 Peixiang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peixiang Wang more than expected).
Fields of papers citing papers by Peixiang Wang
This network shows the impact of papers produced by Peixiang 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 Peixiang Wang. The network helps show where Peixiang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Peixiang 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 104 | |
| 2 | 2010 | 93 | |
| 3 | 2013 | 65 | |
| 4 | 2014 | 65 | |
| 5 | 2003 | 56 | |
| 6 | 2012 | 55 | |
| 7 | 2017 | 53 | |
| 8 | 2017 | 50 | |
| 9 | 2006 | 43 | |
| 10 | 2020 | 43 | |
| 11 | 2021 | 40 | |
| 12 | 2019 | 36 | |
| 13 | 2012 | 35 | |
| 14 | 2008 | 34 | |
| 15 | 2005 | 33 | |
| 16 | 2012 | 32 | |
| 17 | 2015 | 28 | |
| 18 | 2009 | 28 | |
| 19 | 2018 | 28 | |
| 20 | 1998 | 27 |
About Peixiang Wang
Peixiang Wang is a scholar working on Molecular Biology, Rheumatology, Genetics, Physiology and Materials Chemistry, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycogen Storage Diseases and Myoclonus (23 papers), Genetics and Neurodevelopmental Disorders (16 papers), Lysosomal Storage Disorders Research (9 papers), Pancreatic function and diabetes (7 papers), Protein Tyrosine Phosphatases (7 papers), Neurological disorders and treatments (6 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Rheumatology (609 citations), Genetics (517 citations), Neurology (231 citations), Physiology (253 citations) and Molecular Biology (492 citations). Peixiang Wang has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Berge A. Minassian, Xiaochu Zhao, Tianru Jin, Julie Turnbull, Cameron Ackerley, Nela Pencea, Felix Nitschké, Alessandra Ruggieri, Ji Yang and A J Pittard. Their work appears in journals such as Journal of Biological Chemistry, Cell Reports, Annals of Clinical and Translational Neurology, Endocrinology and Brain.
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.