Xihui Yang

1.5k citations
10 papers · 1.3k · h-index 10

Impact in

Papers in

Xihui Yang

10 papers receiving 1.3k citations

Peers

Xihui Yang
Comparison fields: 5 of 76
  • Immunology and Allergy 920
  • Cell Biology 515
  • Cancer Research 312
  • Oncology 352
  • Molecular Biology 774
Replace Elena Kurenova with:
Elena Kurenova United States
John Nip United States
Jun Niu China
Shuichi Ikeyama Japan
Julio A. Aguirre Ghiso Argentina
Jacqueline Lesperance United States
Sadako Yamagata Japan
U. Frixen Germany
Isabelle Tancioni United States
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Xihui Yang relative to Elena Kurenova United States Elena Kurenova's profile →
Citations per field
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Citations per year

Countries citing papers authored by Xihui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xihui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Immunohistochemical analyses of focal adhesion kinase expression in benign and malignant human breast and colon tissues: correlation with preinvasive and invasive phenotypes.
2000364
2
Attenuation of the expression of the focal adhesion kinase induces apoptosis in tumor cells.
1996245
3 2000170
4
Overexpression of focal adhesion kinase in primary colorectal carcinomas and colorectal liver metastases: immunohistochemistry and real-time PCR analyses.
2003151
5 2004147
6
The COOH-terminal domain of the focal adhesion kinase induces loss of adhesion and cell death in human tumor cells.
1998100
7 200552
8 200349
9 200733
10 200432

About Xihui Yang

Xihui Yang is a scholar working on Immunology and Allergy, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Cell Biology, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (9 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cellular Mechanics and Interactions (3 papers), Protease and Inhibitor Mechanisms (3 papers), HER2/EGFR in Cancer Research (3 papers), Cell death mechanisms and regulation (2 papers), NF-κB Signaling Pathways (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology and Allergy (920 citations), Cell Biology (515 citations), Cancer Research (312 citations), Oncology (352 citations) and Molecular Biology (774 citations). Xihui Yang has collaborated with scholars based in United States and South Korea. Frequent co-authors include William G. Cance, Lihui Xu, Rolf J. Craven, Stephen G. Simkins, Jinli Chang, Janet Harris, Mary Iacocca, Albert S. Baldwin, Edison T. Liu and Lewis V. Owens. Their work appears in journals such as Biochemical Journal, Melanoma Research, Molecular Endocrinology, Journal of Biological Chemistry and Molecular and Cellular Biology.

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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