Haiwei Meng
Impact in
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Intracerebral and Subarachnoid Hemorrhage Research
Papers in
-
- Nuclear Receptors and Signaling 2
- Nerve injury and regeneration 2
-
- Parkinson's Disease Mechanisms and Treatments 4
- Neuroinflammation and Neurodegeneration Mechanisms 2
- Co-authors
- Shuwei Liu (13 shared papers)Zhenping Li (5 shared papers)Lei Feng (4 shared papers)Baohua Cheng (3 shared papers)Yuchun Tang (7 shared papers)Xiangtao Lin (8 shared papers)Shuwei Liu (2 shared papers)Xiaohong Wang (4 shared papers)
- Journals
- International Journal of Developmental Neuroscience (3 papers)PLoS ONE (2 papers)Frontiers in Pharmacology (1 paper)Neuroradiology (1 paper)Brain Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Haiwei Meng
20 papers receiving 395 citations
Peers
Comparison fields: 5 of 89
- Biological Psychiatry 19
- Neurology 87
- Neurology 40
- Developmental Neuroscience 19
- Complementary and alternative medicine 32
Countries citing papers authored by Haiwei Meng
This map shows the geographic impact of Haiwei Meng'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 Haiwei Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiwei Meng more than expected).
Fields of papers citing papers by Haiwei Meng
This network shows the impact of papers produced by Haiwei Meng. 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 Haiwei Meng. The network helps show where Haiwei Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiwei Meng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 52 | |
| 2 | 2015 | 41 | |
| 3 | 2007 | 34 | |
| 4 | 2013 | 27 | |
| 5 | 2011 | 26 | |
| 6 | 2008 | 25 | |
| 7 | 2011 | 24 | |
| 8 | 2018 | 24 | |
| 9 | 2009 | 21 | |
| 10 | 2010 | 20 | |
| 11 | 2023 | 18 | |
| 12 | 2012 | 14 | |
| 13 | 2013 | 13 | |
| 14 | 2014 | 12 | |
| 15 | 2011 | 12 | |
| 16 | 2012 | 12 | |
| 17 | 2020 | 12 | |
| 18 | 2022 | 9 | |
| 19 | 2021 | 2 | |
| 20 | 2013 | 2 |
About Haiwei Meng
Haiwei Meng is a scholar working on Cellular and Molecular Neuroscience, Neurology, Pediatrics, Perinatology and Child Health, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 400 indexed citations. Recurring topics across this work include Fetal and Pediatric Neurological Disorders (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neonatal and fetal brain pathology (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Nuclear Receptors and Signaling (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Biological Psychiatry (19 citations), Neurology (87 citations), Neurology (40 citations), Developmental Neuroscience (19 citations) and Complementary and alternative medicine (32 citations). Haiwei Meng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shuwei Liu, Zhenping Li, Lei Feng, Baohua Cheng, Yuchun Tang, Xiangtao Lin, Shuwei Liu, Xiaohong Wang, Fengchao Zang and Gao‐Jun Teng. Their work appears in journals such as International Journal of Developmental Neuroscience, PLoS ONE, Frontiers in Pharmacology, Neuroradiology and Brain 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.