Yingying Shi
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 6
- Geriatrics and Gerontology top 10%
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- Viral Infections and Immunology Research 11
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology 6
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies 4
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- RNA modifications and cancer 4
- RNA Research and Splicing 4
- Mitochondrial Function and Pathology 3
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- Cytomegalovirus and herpesvirus research 4
- Journals
- PLoS ONE (1 paper)Scientific Reports (3 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Yingying Shi
52 papers receiving 816 citations
Peers
Comparison fields: 5 of 123
- Cancer Research 227
- Geriatrics and Gerontology 32
- Cardiology and Cardiovascular Medicine 152
- Infectious Diseases 122
- Modeling and Simulation 29
Countries citing papers authored by Yingying Shi
This map shows the geographic impact of Yingying 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 Yingying Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingying Shi more than expected).
Fields of papers citing papers by Yingying Shi
This network shows the impact of papers produced by Yingying 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 Yingying Shi. The network helps show where Yingying Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yingying 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 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 26 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2021 | 36 | |
| 11 | 2021 | 19 | |
| 12 | 2021 | 11 | |
| 13 | 2019 | 30 | |
| 14 | 2018 | 24 | |
| 15 | 2018 | 23 | |
| 16 | 2017 | 3 | |
| 17 | Comparison of NRS 2002 and PG-SGA for the assessment of nutritional status in cancer patients | 2016 | 7 |
| 18 | 2016 | 12 | |
| 19 | 2015 | 38 | |
| 20 | 2015 | 7 |
About Yingying Shi
Yingying Shi is a scholar working on Modeling and Simulation, Cancer Research and Neuropsychology and Physiological Psychology, having authored 57 papers that have together received 827 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (11 papers), Cancer-related molecular mechanisms research (6 papers), Viral gastroenteritis research and epidemiology (6 papers), COVID-19 epidemiological studies (4 papers), RNA modifications and cancer (4 papers), Cytomegalovirus and herpesvirus research (4 papers), RNA Research and Splicing (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Cancer Research (227 citations), Geriatrics and Gerontology (32 citations) and Cardiology and Cardiovascular Medicine (152 citations). Yingying Shi has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Biwen Peng, Xiaohua He, Wanhong Liu, Song Han, Jun Yin, Wendong Liu, Ying Wu, Yongjuan Liu, Changjun Bao and Huilin Tu. Their work appears in journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.
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.