Sailing Shi

627 citations
5 papers · 331 · h-index 5

Impact in

    • CRISPR and Genetic Engineering
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • Glycosylation and Glycoproteins Research
    • Epigenetics and DNA Methylation
    • Single-cell and spatial transcriptomics

Papers in

    • Enzyme Catalysis and Immobilization 1
    • Melanoma and MAPK Pathways 1
    • Genomics and Phylogenetic Studies 1
    • Cytokine Signaling Pathways and Interactions 1

Sailing Shi

5 papers receiving 329 citations

Peers

Sailing Shi
Comparison fields: 5 of 55
  • Aging 8
  • Molecular Biology 235
  • Immunology 63
  • Oncology 67
  • Cancer Research 27
Replace Matthias Hinterndorfer with:
Matthias Hinterndorfer Austria
Nassima Benzoubir France
Rebekka Müller Norway
María Tristán‐Manzano Spain
Shruti Malu United States
Takefumi Ishidao Japan
Hsiu Shih Taiwan
Mary J. Pulvino United States
Sailing Shi relative to Matthias Hinterndorfer Austria Matthias Hinterndorfer's profile →
Citations per field
00.5×1.5×1.8×
Matthias Hinterndorfer · 1×
Citations per year

Countries citing papers authored by Sailing Shi

Since Specialization
Citations

This map shows the geographic impact of Sailing 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 Sailing Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sailing Shi more than expected).

Fields of papers citing papers by Sailing Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sailing 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 Sailing Shi. The network helps show where Sailing Shi may publish in the future.

Co-authors

The 25 scholars most cited alongside Sailing 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 Sailing Shi Line = papers co-authored together Sailing Shi links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1 2019255
2 202048
3 202015
4 20167
5 20236

About Sailing Shi

Sailing Shi is a scholar working on Molecular Biology, Oncology, Immunology, Pathology and Forensic Medicine and Biotechnology, having authored 5 papers that have together received 331 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (1 paper), Biofuel production and bioconversion (1 paper), Enzyme Catalysis and Immobilization (1 paper), Immunotherapy and Immune Responses (1 paper), Melanoma and MAPK Pathways (1 paper), interferon and immune responses (1 paper), Genomics and Phylogenetic Studies (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Aging (8 citations), Molecular Biology (235 citations), Immunology (63 citations), Oncology (67 citations) and Cancer Research (27 citations). Sailing Shi has collaborated with scholars based in China, United States and Austria. Frequent co-authors include X. Shirley Liu, Ziyi Li, Myles Brown, Wubing Zhang, Chen-Hao Chen, Xiaoqing Wang, Nicole Traugh, Binbin Wang, Tengfei Xiao and Yingbo Cui. Their work appears in journals such as Clinical Cancer Research, Genomics Proteomics & Bioinformatics, BioResources, Nature Protocols and Cancer Immunology Research.

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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