Weiping Wang
Impact in
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- Adipose Tissue and Metabolism
Papers in
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- Mitochondrial Function and Pathology 2
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- Neuroscience and Neuropharmacology Research 4
- Co-authors
- Peng Xue (1 shared paper)Einav Yehuda‐Shnaidman (1 shared paper)Jackie Lau (1 shared paper)Yongyong Hou (1 shared paper)Theodore W. Kurtz (1 shared paper)Laura Leung (1 shared paper)Jingbo Pi (1 shared paper)Dianxin Liu (1 shared paper)
- Journals
- Brain Research (3 papers)Molecular Neurobiology (2 papers)BMC Pharmacology and Toxicology (1 paper)Mitochondrion (1 paper)Frontiers in Endocrinology (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Weiping Wang
21 papers receiving 543 citations
Peers
Comparison fields: 5 of 77
- Developmental Neuroscience 24
- Physiology 143
- Geriatrics and Gerontology 16
- Biological Psychiatry 10
- Cellular and Molecular Neuroscience 77
Countries citing papers authored by Weiping Wang
This map shows the geographic impact of Weiping 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 Weiping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiping Wang more than expected).
Fields of papers citing papers by Weiping Wang
This network shows the impact of papers produced by Weiping 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 Weiping Wang. The network helps show where Weiping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiping 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 253 | |
| 2 | 2014 | 110 | |
| 3 | 2019 | 31 | |
| 4 | 2022 | 20 | |
| 5 | 2016 | 19 | |
| 6 | 2019 | 19 | |
| 7 | 2012 | 18 | |
| 8 | 2018 | 15 | |
| 9 | 2021 | 15 | |
| 10 | 2023 | 13 | |
| 11 | 2022 | 9 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2015 | 4 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2020 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Weiping Wang
Weiping Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pediatrics, Perinatology and Child Health, Psychiatry and Mental health and Epidemiology, having authored 24 papers that have together received 545 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Epilepsy research and treatment (4 papers), Pharmacological Effects and Toxicity Studies (3 papers), Neonatal and fetal brain pathology (2 papers), Anesthesia and Neurotoxicity Research (2 papers), Mitochondrial Function and Pathology (2 papers), Diet and metabolism studies (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Developmental Neuroscience (24 citations), Physiology (143 citations), Geriatrics and Gerontology (16 citations), Biological Psychiatry (10 citations) and Cellular and Molecular Neuroscience (77 citations). Weiping Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Peng Xue, Einav Yehuda‐Shnaidman, Jackie Lau, Yongyong Hou, Theodore W. Kurtz, Laura Leung, Jingbo Pi, Dianxin Liu, Wenlin Zhang and Fei Xu. Their work appears in journals such as Brain Research, Molecular Neurobiology, BMC Pharmacology and Toxicology, Mitochondrion and Frontiers in Endocrinology.
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.