Min Shi
- Molecular Biology
- Organic Chemistry
- Anesthesiology and Pain Medicine top 10%
- Developmental Neuroscience
- Critical Care and Intensive Care Medicine
- Co-authors
- Yubo XieLifei ChenJing ChenFangfang BiXinliang MaoZhaopeng LiuKunkun HanBiyin Cao
- Topics
- PI3K/AKT/mTOR signaling in cancer (3 papers)Anesthesia and Sedative Agents (3 papers)GaN-based semiconductor devices and materials (3 papers)
- Cited by
- Developmental NeuroscienceAnesthesiology and Pain MedicineCritical Care and Intensive Care Medicine
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersOncotarget
In The Last Decade
Min Shi
18 papers receiving 322 citations
Peers
Comparison fields: 5 of 76
- Molecular Biology 136
- Organic Chemistry 51
- Anesthesiology and Pain Medicine 34
- Developmental Neuroscience 33
- Critical Care and Intensive Care Medicine 31
Countries citing papers authored by Min Shi
This map shows the geographic impact of Min 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 Min Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Shi more than expected).
Fields of papers citing papers by Min Shi
This network shows the impact of papers produced by Min 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 Min Shi. The network helps show where Min Shi may publish in the future.
Co-authorship network of co-authors of Min Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Min Shi. A scholar is included among the top collaborators of Min 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 Min Shi. Min 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 | 0 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | Protective Effects of Remimazolam on Cerebral Ischemia/Reperfusion Injury in Rats by Inhibiting of NLRP3 Inflammasome-Dependent Pyroptosis | 72 |
| 7 | 33 | |
| 8 | 13 | |
| 9 | 21 | |
| 10 | 17 | |
| 11 | 16 | |
| 12 | 11 | |
| 13 | Overexpressed LEDGF is a novel biomarker of poor prognosis in patients with cervical cancer. | 3 |
| 14 | 26 | |
| 15 | 13 | |
| 16 | 17 | |
| 17 | 2 | |
| 18 | 43 | |
| 19 | 18 | |
| 20 | 13 |
About Min Shi
Min Shi is a scholar working on Anesthesiology and Pain Medicine, Critical Care and Intensive Care Medicine and Cancer Research, having authored 20 papers that have together received 325 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Anesthesia and Sedative Agents (3 papers) and GaN-based semiconductor devices and materials (3 papers). The work is most often cited by research in Developmental Neuroscience (33 citations), Anesthesiology and Pain Medicine (34 citations) and Critical Care and Intensive Care Medicine (31 citations). Min Shi has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Yubo Xie, Lifei Chen, Jing Chen, Fangfang Bi, Xinliang Mao, Zhaopeng Liu, Kunkun Han, Biyin Cao, Zubin Zhang and Tingting Kong. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Oncotarget.
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.