Qingli Shi
- Molecular Biology
- Physiology top 5%
- Neurology top 5%
- Biochemistry top 2%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Gary E. GibsonHui XuSaravanan S. KaruppagounderLi ZhuoJohn P. BlassM. Flint BealDavid PechmanMartin Lesser
- Topics
- Biochemical Acid Research Studies (10 papers)Mitochondrial Function and Pathology (9 papers)Alzheimer's disease research and treatments (6 papers)
- Journals
- Journal of Biological ChemistryJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Qingli Shi
36 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 537
- Physiology 488
- Neurology 220
- Biochemistry 207
- Cellular and Molecular Neuroscience 151
Countries citing papers authored by Qingli Shi
This map shows the geographic impact of Qingli 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 Qingli Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingli Shi more than expected).
Fields of papers citing papers by Qingli Shi
This network shows the impact of papers produced by Qingli 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 Qingli Shi. The network helps show where Qingli Shi may publish in the future.
Co-authorship network of co-authors of Qingli Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Qingli Shi. A scholar is included among the top collaborators of Qingli 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 Qingli Shi. Qingli 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 | 1 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | Analysis the relationship of cholinergic pathway damage and cerebral cortex structure change in patients with cognitive impairment accompanied by white matter hypertensity | 0 |
| 6 | 11 | |
| 7 | 33 | |
| 8 | 35 | |
| 9 | 14 | |
| 10 | 40 | |
| 11 | 6 | |
| 12 | 60 | |
| 13 | 69 | |
| 14 | 92 | |
| 15 | 22 | |
| 16 | 60 | |
| 17 | 41 | |
| 18 | 40 | |
| 19 | 130 | |
| 20 | 13 |
About Qingli Shi
Qingli Shi is a scholar working on Computational Mathematics, Biochemistry and Transportation, having authored 38 papers that have together received 1.3k indexed citations. Recurring topics across this work include Biochemical Acid Research Studies (10 papers), Mitochondrial Function and Pathology (9 papers) and Alzheimer's disease research and treatments (6 papers). The work is most often cited by research in Biological Psychiatry (82 citations), Biochemistry (207 citations) and Clinical Biochemistry (145 citations). Qingli Shi has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Gary E. Gibson, Hui Xu, Saravanan S. Karuppagounder, Li Zhuo, John P. Blass, M. Flint Beal, David Pechman, Martin Lesser, Richard C. Mohs and Vahram Haroutunian. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.