Longze Sha
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 8
- Neuroscience and Neural Engineering 7
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- Ion channel regulation and function 3
- Co-authors
- Qi Xu (30 shared papers)Yan Shen (8 shared papers)Jing Li (4 shared papers)Xueqin Wang (3 shared papers)Liwen Wu (5 shared papers)Wanchen Dou (3 shared papers)Yuan Yao (3 shared papers)Liri Jin (2 shared papers)
- Journals
- Journal of Alzheimer s Disease (2 papers)Molecular Neurobiology (2 papers)ACS Applied Materials & Interfaces (2 papers)Cell Reports (1 paper)Sensors and Actuators B Chemical (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Longze Sha
31 papers receiving 393 citations
Peers
Comparison fields: 5 of 69
- Cellular and Molecular Neuroscience 173
- Neurology 49
- Developmental Neuroscience 23
- Psychiatry and Mental health 65
- Biological Psychiatry 11
Countries citing papers authored by Longze Sha
This map shows the geographic impact of Longze Sha'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 Longze Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longze Sha more than expected).
Fields of papers citing papers by Longze Sha
This network shows the impact of papers produced by Longze Sha. 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 Longze Sha. The network helps show where Longze Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Longze Sha, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 63 | |
| 2 | 2016 | 62 | |
| 3 | 2013 | 42 | |
| 4 | 2016 | 31 | |
| 5 | 2019 | 29 | |
| 6 | 2022 | 23 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 18 | |
| 9 | 2018 | 10 | |
| 10 | 2017 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2023 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2023 | 5 | |
| 20 | 2015 | 5 |
About Longze Sha
Longze Sha is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Genetics, Cognitive Neuroscience and Psychiatry and Mental health, having authored 35 papers that have together received 397 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Neuroscience and Neural Engineering (7 papers), Genetics and Neurodevelopmental Disorders (5 papers), Advanced Memory and Neural Computing (5 papers), Alzheimer's disease research and treatments (3 papers), Epilepsy research and treatment (3 papers), Ion channel regulation and function (3 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (173 citations), Neurology (49 citations), Developmental Neuroscience (23 citations), Psychiatry and Mental health (65 citations) and Biological Psychiatry (11 citations). Longze Sha has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Qi Xu, Yan Shen, Jing Li, Xueqin Wang, Liwen Wu, Wanchen Dou, Yuan Yao, Liri Jin, Dan Zhang and Xinxia Cai. Their work appears in journals such as Journal of Alzheimer s Disease, Molecular Neurobiology, ACS Applied Materials & Interfaces, Cell Reports and Sensors and Actuators B Chemical.
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.