Jing Shi
- Physiology top 5%
- Molecular Biology
- Neurology top 5%
- Psychiatry and Mental health top 5%
- Epidemiology
- Co-authors
- Jinzhou TianMingqing WeiYongyan WangJingnian NiJulie S. SnowdenDavid M. A. MannPengwen WangDavid Neary
- Topics
- Alzheimer's disease research and treatments (31 papers)Hepatitis B Virus Studies (14 papers)Dementia and Cognitive Impairment Research (14 papers)
- Cited by
- NeurologyPhysiology
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyPLoS ONE
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jing Shi
127 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 126
- Physiology 477
- Molecular Biology 355
- Neurology 341
- Psychiatry and Mental health 241
- Epidemiology 240
Countries citing papers authored by Jing Shi
This map shows the geographic impact of Jing 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 Jing Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Shi more than expected).
Fields of papers citing papers by Jing Shi
This network shows the impact of papers produced by Jing 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 Jing Shi. The network helps show where Jing Shi may publish in the future.
Co-authorship network of co-authors of Jing Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Jing Shi. A scholar is included among the top collaborators of Jing 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 Jing Shi. Jing 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 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 15 | |
| 9 | 7 | |
| 10 | 18 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 61 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | [Study on risk factors of hepatitis B virus infection among patients receiving hemodialysis by multi-level statistical model analysis]. | 3 |
| 19 | 21 | |
| 20 | Effect of qutan huoluo jiannao preparation in improving memory impairment of rats with cerebral ischemia | 5 |
About Jing Shi
Jing Shi is a scholar working on Neurology, Complementary and alternative medicine and Periodontics, having authored 134 papers that have together received 1.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (31 papers), Hepatitis B Virus Studies (14 papers) and Dementia and Cognitive Impairment Research (14 papers). The work is most often cited by research in Neurology (228 citations), Neurology (341 citations) and Physiology (477 citations). Jing Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jinzhou Tian, Mingqing Wei, Yongyan Wang, Jingnian Ni, Julie S. Snowden, David M. A. Mann, Pengwen Wang, David Neary, Kevin Bailey and D. M. A. Mann. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology 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.