Ya Shi
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
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- Nerve injury and regeneration
Papers in
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- Spinal Cord Injury Research 6
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- Neurogenesis and neuroplasticity mechanisms 4
- Co-authors
- Zhifeng Xiao (10 shared papers)Yannan Zhao (9 shared papers)Jianwu Dai (9 shared papers)Dezun Ma (3 shared papers)Bing Chen (6 shared papers)He Shen (3 shared papers)Xu Bai (7 shared papers)Yongheng Fan (5 shared papers)
- Journals
- Stem Cell Research & Therapy (2 papers)Science China Life Sciences (2 papers)Biomaterials (2 papers)Genomics Proteomics & Bioinformatics (1 paper)Biomedical Materials (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ya Shi
14 papers receiving 480 citations
Peers
Comparison fields: 5 of 62
- Developmental Neuroscience 91
- Cellular and Molecular Neuroscience 215
- Pathology and Forensic Medicine 189
- Biomaterials 68
- Neurology 40
Countries citing papers authored by Ya Shi
This map shows the geographic impact of Ya Shi'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 Ya Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Shi more than expected).
Fields of papers citing papers by Ya Shi
This network shows the impact of papers produced by Ya Shi. 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 Ya Shi. The network helps show where Ya Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 92 | |
| 2 | 2020 | 78 | |
| 3 | 2020 | 68 | |
| 4 | 2024 | 54 | |
| 5 | Genetic diversity and relationships among Chinese maize inbred lines revealed by SSR markers | 2002 | 42 |
| 6 | 2024 | 32 | |
| 7 | 2022 | 28 | |
| 8 | 2021 | 28 | |
| 9 | 2021 | 16 | |
| 10 | 2015 | 16 | |
| 11 | 2021 | 14 | |
| 12 | 2020 | 11 | |
| 13 | 2021 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2025 | 0 | |
| 16 | 2014 | 0 |
About Ya Shi
Ya Shi is a scholar working on Pathology and Forensic Medicine, Developmental Neuroscience, Cellular and Molecular Neuroscience, Genetics and Genetics, having authored 16 papers that have together received 494 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (6 papers), Nerve injury and regeneration (6 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Genetic diversity and population structure (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Extracellular vesicles in disease (2 papers) and Barrier Structure and Function Studies (1 paper). The work is most often cited by research in Developmental Neuroscience (91 citations), Cellular and Molecular Neuroscience (215 citations), Pathology and Forensic Medicine (189 citations), Biomaterials (68 citations) and Neurology (40 citations). Ya Shi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zhifeng Xiao, Yannan Zhao, Jianwu Dai, Dezun Ma, Bing Chen, He Shen, Xu Bai, Yongheng Fan, Weiwei Xue and Bing Chen. Their work appears in journals such as Stem Cell Research & Therapy, Science China Life Sciences, Biomaterials, Genomics Proteomics & Bioinformatics and Biomedical Materials.
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.