Yu Shi
- Immunology top 5%
- Molecular Biology
- Virology top 2%
- Oncology top 10%
- Epidemiology
- Co-authors
- Rafick‐Pierre SékalyElias K. HaddadJulien van GrevenyngheJean‐Pierre RoutyMohamed El‐FarFerdinand le NobleElias A. SaidYoav Peretz
- Topics
- Angiogenesis and VEGF in Cancer (9 papers)Cardiac electrophysiology and arrhythmias (8 papers)Immune Cell Function and Interaction (8 papers)
- Cited by
- VirologyImmunologyBiophysics
- Partner nations
- United StatesCanadaChina
In The Last Decade
Yu Shi
60 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 126
- Immunology 756
- Molecular Biology 668
- Virology 330
- Oncology 243
- Epidemiology 228
Countries citing papers authored by Yu Shi
This map shows the geographic impact of Yu 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 Yu Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Shi more than expected).
Fields of papers citing papers by Yu Shi
This network shows the impact of papers produced by Yu 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 Yu Shi. The network helps show where Yu Shi may publish in the future.
Co-authorship network of co-authors of Yu Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Shi. A scholar is included among the top collaborators of Yu 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 Yu Shi. Yu 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 | 15 | |
| 4 | 25 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 5 | |
| 8 | 20 | |
| 9 | Long Non-Coding RNA SPRY4-IT1 Reverses Cisplatin Resistance by Downregulating MPZL-1 via Suppressing EMT in NSCLC | 1 |
| 10 | 2 | |
| 11 | Cisplatin-resistant lung cancer cell–derived exosomes increase cisplatin resistance of recipient cells in exosomal miR-100–5p-dependent manner | 2 |
| 12 | 8 | |
| 13 | 39 | |
| 14 | Microvascular invasion in hepatocellular carcinoma overexpression promotes cell proliferation and inhibits cell apoptosis of hepatocellular carcinoma via inhibiting miR-199a expression | 1 |
| 15 | Calcifying nanoparticles promote mineralization in vascular smooth muscle cells: implications for atherosclerosis | 2 |
| 16 | 121 | |
| 17 | 31 | |
| 18 | 123 | |
| 19 | 179 | |
| 20 | Synthesis of Hyperbranched Aromatic Polyamides | 1 |
About Yu Shi
Yu Shi is a scholar working on Biophysics, Virology and Structural Biology, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (9 papers), Cardiac electrophysiology and arrhythmias (8 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Virology (330 citations), Immunology (756 citations) and Biophysics (70 citations). Yu Shi has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Rafick‐Pierre Sékaly, Elias K. Haddad, Julien van Grevenynghe, Jean‐Pierre Routy, Mohamed El‐Far, Ferdinand le Noble, Elias A. Said, Yoav Peretz, Bader Yassine‐Diab and Franck P. Dupuy. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature 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.