Yu Shi

2.6k citations
62 papers · 1.9k indexed · h-index 21

Yu Shi

60 papers receiving 1.9k citations

Peers

Yu Shi
Comparison fields: 5 of 126
  • Virology 330
  • Immunology 756
  • Biophysics 70
  • Cell Biology 190
  • Molecular Biology 668
Replace David J. H. F. Knapp with:
David J. H. F. Knapp Canada
Emily M. Mace United States
Agnès Paquet United States
Gregory A. Gibson United States
Louise Barnett United States
Rachel S. Friedman United States
Meera Mahalingam United States
William Wachsman United States
Ann Atzberger Germany
Jeremy P. Segal United States
Yu Shi relative to David J. H. F. Knapp Canada David J. H. F. Knapp's profile →
Citations per field
00.5×1.5×2.0×
David J. H. F. Knapp · 1×
Citations per year

Countries citing papers authored by Yu Shi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Yu Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu Shi Line = papers co-authored together Yu Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 202415
4 202425
5 20241
6 202316
7 20235
8 202220
9
Long Non-Coding RNA SPRY4-IT1 Reverses Cisplatin Resistance by Downregulating MPZL-1 via Suppressing EMT in NSCLC
20201
10 20202
11
Cisplatin-resistant lung cancer cell–derived exosomes increase cisplatin resistance of recipient cells in exosomal miR-100–5p-dependent manner
20172
12 20178
13 201639
14
Microvascular invasion in hepatocellular carcinoma overexpression promotes cell proliferation and inhibits cell apoptosis of hepatocellular carcinoma via inhibiting miR-199a expression
20151
15
Calcifying nanoparticles promote mineralization in vascular smooth muscle cells: implications for atherosclerosis
20142
16 2012121
17 200931
18 2008123
19 2006179
20
Synthesis of Hyperbranched Aromatic Polyamides
20061

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), Immune Cell Function and Interaction (8 papers), Cellular Mechanics and Interactions (7 papers), Ion channel regulation and function (7 papers), T-cell and B-cell Immunology (7 papers), Advanced Fluorescence Microscopy Techniques (6 papers) and Congenital heart defects research (4 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.

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