Ying Shi
- Molecular Medicine top 5%
- Endocrinology top 5%
- Biotechnology top 5%
- Food Science top 5%
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
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- Viral Infections and Vectors 5
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- TGF-β signaling in diseases 3
- Genomics and Phylogenetic Studies 2
- Histone Deacetylase Inhibitors Research 2
- Ubiquitin and proteasome pathways 2
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- Lipid metabolism and disorders 2
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Ying Shi
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Molecular Medicine 101
- Endocrinology 88
- Biotechnology 144
- Food Science 258
- Cancer Research 123
Countries citing papers authored by Ying Shi
This map shows the geographic impact of Ying 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 Ying Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Shi more than expected).
Fields of papers citing papers by Ying Shi
This network shows the impact of papers produced by Ying 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 Ying Shi. The network helps show where Ying Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 11 | |
| 4 | 2023 | 14 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 29 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 40 | |
| 10 | 2021 | 18 | |
| 11 | 2019 | 0 | |
| 12 | 2019 | 9 | |
| 13 | 2019 | 15 | |
| 14 | 2016 | 11 | |
| 15 | 2015 | 1 | |
| 16 | 2014 | 46 | |
| 17 | Heterodyne interference signal processing method based on FPGA | 2012 | 1 |
| 18 | 2012 | 4 | |
| 19 | 2011 | 35 | |
| 20 | 2010 | 244 |
About Ying Shi
Ying Shi is a scholar working on Cancer Research, Infectious Diseases and Molecular Biology, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Viral Infections and Vectors (5 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), TGF-β signaling in diseases (3 papers), Genomics and Phylogenetic Studies (2 papers), Lipid metabolism and disorders (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Molecular Medicine (101 citations), Endocrinology (88 citations) and Biotechnology (144 citations). Ying Shi has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Yu Xue, Di Peng, Shaofeng Lin, Chenwei Wang, Jianghong Meng, Baowei Yang, Jiaqi Zhou, Meili Xi, Ying Zhang and Jinling Shen. Their work appears in journals such as PLoS ONE, The FASEB Journal and Journal of Clinical Microbiology.
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.