Shasha Ye
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
Papers in
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- Fibroblast Growth Factor Research 11
- RNA and protein synthesis mechanisms 3
- DNA and Nucleic Acid Chemistry 3
-
- Autophagy in Disease and Therapy 2
- Co-authors
- Li Lin (7 shared papers)Jian Hu (5 shared papers)Yeli Zhao (8 shared papers)Yaoying Zeng (1 shared paper)Zhen Chen (1 shared paper)Ying Qian (3 shared papers)Tingyu Li (2 shared papers)Junyan Yan (2 shared papers)
- Journals
- Frontiers in Pharmacology (4 papers)International Immunopharmacology (2 papers)iScience (1 paper)Gene (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Shasha Ye
29 papers receiving 492 citations
Peers
Comparison fields: 5 of 117
- Biological Psychiatry 40
- Neurology 110
- Developmental Neuroscience 20
- Behavioral Neuroscience 17
- Complementary and alternative medicine 30
Countries citing papers authored by Shasha Ye
This map shows the geographic impact of Shasha Ye'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 Shasha Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shasha Ye more than expected).
Fields of papers citing papers by Shasha Ye
This network shows the impact of papers produced by Shasha Ye. 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 Shasha Ye. The network helps show where Shasha Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Shasha Ye, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 51 | |
| 2 | 2012 | 41 | |
| 3 | 2021 | 39 | |
| 4 | 2022 | 34 | |
| 5 | 2021 | 33 | |
| 6 | 2020 | 31 | |
| 7 | 2018 | 27 | |
| 8 | 2022 | 26 | |
| 9 | 2023 | 24 | |
| 10 | 2023 | 20 | |
| 11 | 2019 | 20 | |
| 12 | 2021 | 19 | |
| 13 | 2019 | 19 | |
| 14 | 2019 | 18 | |
| 15 | 2020 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2018 | 13 | |
| 18 | 2021 | 12 | |
| 19 | 2020 | 11 | |
| 20 | 2023 | 9 |
About Shasha Ye
Shasha Ye is a scholar working on Molecular Biology, Epidemiology, Neurology, Surgery and Cognitive Neuroscience, having authored 33 papers that have together received 501 indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), RNA and protein synthesis mechanisms (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Child Nutrition and Feeding Issues (2 papers), Surgical Simulation and Training (2 papers), Immune cells in cancer (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Biological Psychiatry (40 citations), Neurology (110 citations), Developmental Neuroscience (20 citations), Behavioral Neuroscience (17 citations) and Complementary and alternative medicine (30 citations). Shasha Ye has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Li Lin, Jian Hu, Yeli Zhao, Yaoying Zeng, Zhen Chen, Ying Qian, Tingyu Li, Junyan Yan, Kaiming Guo and Wenting Huang. Their work appears in journals such as Frontiers in Pharmacology, International Immunopharmacology, iScience, Gene and Frontiers in Cell and Developmental Biology.
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.