Sha Sha
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Geriatrics and Gerontology top 10%
- Frailty in Older Adults
Papers in
- Physiology 20
- Alzheimer's disease research and treatments 16
- Pain Mechanisms and Treatments 2
- Pharmacology 10
- Cholinesterase and Neurodegenerative Diseases 5
- Treatment of Major Depression 3
- Co-authors
- Yunpeng Cao (12 shared papers)Lin Chen (1 shared paper)Yuebin Xu (1 shared paper)Guoxi Li (2 shared papers)Tingting Chen (2 shared papers)Ling Chen (1 shared paper)Qin He (3 shared papers)Hermann Brenner (5 shared papers)
- Journals
- Frontiers in Psychiatry (3 papers)Journal of Neuroimmunology (2 papers)Neurochemical Research (2 papers)European Journal of Epidemiology (1 paper)BMC Cardiovascular Disorders (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Sha Sha
45 papers receiving 566 citations
Peers
Comparison fields: 5 of 85
- Biological Psychiatry 34
- Geriatrics and Gerontology 25
- Neurology 59
- Physiology 132
- Developmental Neuroscience 21
Countries citing papers authored by Sha Sha
This map shows the geographic impact of Sha 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 Sha Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Sha more than expected).
Fields of papers citing papers by Sha Sha
This network shows the impact of papers produced by Sha 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 Sha Sha. The network helps show where Sha Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 66 | |
| 2 | 2011 | 46 | |
| 3 | 2016 | 45 | |
| 4 | 2017 | 45 | |
| 5 | 2013 | 41 | |
| 6 | 2020 | 41 | |
| 7 | 2022 | 35 | |
| 8 | 2024 | 20 | |
| 9 | 2020 | 19 | |
| 10 | 2023 | 16 | |
| 11 | 2016 | 16 | |
| 12 | 2016 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2024 | 13 | |
| 15 | 2012 | 13 | |
| 16 | 2011 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2012 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2022 | 8 |
About Sha Sha
Sha Sha is a scholar working on Physiology, Pharmacology, Molecular Biology, Pathology and Forensic Medicine and Computational Theory and Mathematics, having authored 46 papers that have together received 575 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (16 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Computational Drug Discovery Methods (5 papers), Vitamin D Research Studies (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Treatment of Major Depression (3 papers), Bipolar Disorder and Treatment (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (34 citations), Geriatrics and Gerontology (25 citations), Neurology (59 citations), Physiology (132 citations) and Developmental Neuroscience (21 citations). Sha Sha has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yunpeng Cao, Lin Chen, Yuebin Xu, Guoxi Li, Tingting Chen, Ling Chen, Qin He, Hermann Brenner, Ben Schöttker and Libin Zhou. Their work appears in journals such as Frontiers in Psychiatry, Journal of Neuroimmunology, Neurochemical Research, European Journal of Epidemiology and BMC Cardiovascular Disorders.
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.