Sha Sha
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Developmental Neuroscience top 10%
Papers in
-
- Pharmacological Receptor Mechanisms and Effects 6
- Receptor Mechanisms and Signaling 3
-
- Neuroscience and Neuropharmacology Research 11
- Co-authors
- Ling Chen (17 shared papers)Nathalie Rolhion (1 shared paper)Guillaume Dorothée (2 shared papers)Cynthia A. Lemere (1 shared paper)Harry Sokol (1 shared paper)Slavica Krantic (2 shared papers)Lei Chen (9 shared papers)Lin Li (4 shared papers)
- Journals
- Journal of Affective Disorders (3 papers)Molecular Neurobiology (3 papers)Glia (3 papers)Neuropharmacology (3 papers)Frontiers in Neuroscience (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Sha Sha
41 papers receiving 978 citations
Sha Sha's Hit Papers
Peers
Comparison fields: 5 of 97
- Biological Psychiatry 168
- Developmental Neuroscience 74
- Behavioral Neuroscience 62
- Neurology 112
- Sensory Systems 64
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Microbiota in neuroinflammation and synaptic dysfunction: a focus on Alzheimer’s disease Hit paper breakdown → | 2022 | 220 |
| 2 | 2019 | 118 | |
| 3 | 2016 | 64 | |
| 4 | 2020 | 63 | |
| 5 | 2013 | 58 | |
| 6 | 2016 | 38 | |
| 7 | 2015 | 34 | |
| 8 | 2017 | 27 | |
| 9 | 2014 | 27 | |
| 10 | 2015 | 24 | |
| 11 | 2018 | 22 | |
| 12 | 2018 | 19 | |
| 13 | 2015 | 19 | |
| 14 | 2020 | 17 | |
| 15 | 2013 | 17 | |
| 16 | 2022 | 15 | |
| 17 | 2024 | 14 | |
| 18 | 2014 | 14 | |
| 19 | 2017 | 13 | |
| 20 | 2016 | 13 |
About Sha Sha
Sha Sha is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Sensory Systems and Physiology, having authored 45 papers that have together received 986 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Ion Channels and Receptors (7 papers), Pharmacological Receptor Mechanisms and Effects (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Functional Brain Connectivity Studies (6 papers), Stress Responses and Cortisol (4 papers), Receptor Mechanisms and Signaling (3 papers) and EEG and Brain-Computer Interfaces (3 papers). The work is most often cited by research in Biological Psychiatry (168 citations), Developmental Neuroscience (74 citations), Behavioral Neuroscience (62 citations), Neurology (112 citations) and Sensory Systems (64 citations). Sha Sha has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ling Chen, Nathalie Rolhion, Guillaume Dorothée, Cynthia A. Lemere, Harry Sokol, Slavica Krantic, Lei Chen, Lin Li, Zihong Lu and Yimei Du. Their work appears in journals such as Journal of Affective Disorders, Molecular Neurobiology, Glia, Neuropharmacology and Frontiers in Neuroscience.
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.