Yue-Xi Shi

2.6k citations
6 papers · 1.2k indexed · 1 hit paper · h-index 6
  • Hematology top 5%
    • Acute Myeloid Leukemia Research 2
  • Genetics top 5%
    • Virus-based gene therapy research 1
  • Oncology top 5%
    • CAR-T cell therapy research 1
  • Genetics top 5%
    • Virus-based gene therapy research 1
    • Pluripotent Stem Cells Research 1
    • CRISPR and Genetic Engineering 1
    • Genomics, phytochemicals, and oxidative stress 1
    • Glutathione Transferases and Polymorphisms 1
    • Medicinal Plant Pharmacodynamics Research 1

Yue-Xi Shi

6 papers receiving 1.2k citations

Hit Papers

A mutant oncolytic adenovirus targeting the Rb pathway pr...6112000202620082017200400600

Peers

Yue-Xi Shi
Comparison fields: 5 of 69
  • Hematology 292
  • Genetics 574
  • Oncology 500
  • Genetics 185
  • Biotechnology 113
Replace Esther R. Allay with:
Esther R. Allay United States
Mingzhong Zheng United States
Lucia Mazzacurati United States
Tetsuro Orita Japan
Kellie M. Tainton Australia
Alpha Peled Israel
Dell Paielli United States
Apollina Goel United States
Patricia E. Murtha United States
Adam Giermasz Poland
Yue-Xi Shi relative to Esther R. Allay United States Esther R. Allay's profile →
Citations per field
00.5×8.5×
Esther R. Allay · 1×
Citations per year

Countries citing papers authored by Yue-Xi Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yue-Xi Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

6 of 6 papers shown
#Work
1 201293
2 2008277
3 200654
4 200575
5 200593
6
A mutant oncolytic adenovirus targeting the Rb pathway produces anti-glioma effect in vivobreakdown →
2000611

About Yue-Xi Shi

Yue-Xi Shi is a scholar working on Hematology, Pharmacology and Genetics, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (2 papers), Virus-based gene therapy research (1 paper), Pluripotent Stem Cells Research (1 paper), CRISPR and Genetic Engineering (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper), Glutathione Transferases and Polymorphisms (1 paper), CAR-T cell therapy research (1 paper) and Medicinal Plant Pharmacodynamics Research (1 paper). The work is most often cited by research in Hematology (292 citations), Genetics (574 citations) and Oncology (500 citations). Yue-Xi Shi has collaborated with scholars based in United States, United Kingdom and Austria. Frequent co-authors include Timothy J. McDonnell, Victor A. Levin, Paraskevi Mitlianga, W. K. Alfred Yung, Candelaria Gomez‐Manzano, Athanassios P. Kyritsis, Ramón Alemany, Juàn Fueyo, Michael Andreeff and Marina Konopleva. Their work appears in journals such as Journal of Biological Chemistry, Blood and JNCI Journal of the National Cancer Institute.

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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