Ying Shi
- Molecular Biology
- Health, Toxicology and Mutagenesis top 5%
- Nephrology top 2%
- Renewable Energy, Sustainability and the Environment top 10%
- Epidemiology
- Topics
- Algal biology and biofuel production (8 papers)Dialysis and Renal Disease Management (7 papers)Blood Pressure and Hypertension Studies (6 papers)
- Cited by
- NephrologyHealth, Toxicology and MutagenesisRenewable Energy, Sustainability and the Environment
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ying Shi
57 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 277
- Health, Toxicology and Mutagenesis 257
- Nephrology 242
- Renewable Energy, Sustainability and the Environment 228
- Epidemiology 132
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 of co-authors of Ying Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Shi. A scholar is included among the top collaborators of Ying Shi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying Shi. Ying Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 14 | |
| 3 | 19 | |
| 4 | 12 | |
| 5 | 86 | |
| 6 | 25 | |
| 7 | 58 | |
| 8 | 137 | |
| 9 | 12 | |
| 10 | 19 | |
| 11 | 20 | |
| 12 | 2 | |
| 13 | 37 | |
| 14 | 96 | |
| 15 | 10 | |
| 16 | Quantitative diagnosis of early-stage liver cirrhosis with contrast-enhanced ultrasound--a clinical study. | 3 |
| 17 | 7 | |
| 18 | 56 | |
| 19 | 4 | |
| 20 | [Studies on prevalence and control of several common chronic diseases among Beijing adults in 2005]. | 12 |
About Ying Shi
Ying Shi is a scholar working on Nephrology, Biochemistry and Renewable Energy, Sustainability and the Environment, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Algal biology and biofuel production (8 papers), Dialysis and Renal Disease Management (7 papers) and Blood Pressure and Hypertension Studies (6 papers). The work is most often cited by research in Nephrology (242 citations), Health, Toxicology and Mutagenesis (257 citations) and Renewable Energy, Sustainability and the Environment (228 citations). Ying Shi has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Haibo Wang, Jin Liu, Luxia Zhang, Ning Chen, Meijing Liu, Puhong Zhang, Zejun Liu, Haiyan Wang, Shih‐Hung Yang and Li Zuo. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
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.