Shi Yu Zhang

495 citations
9 papers · 437 indexed · h-index 7

Shi Yu Zhang

9 papers receiving 436 citations

Peers

Shi Yu Zhang
Comparison fields: 5 of 48
  • Oncology 293
  • Cancer Research 111
  • Otorhinolaryngology 25
  • Biotechnology 38
  • Molecular Biology 273
Replace Janet Benefield with:
Janet Benefield United States
Jonas Ecker Germany
Janet I. Lee United States
Gilda P. Chau United States
Öonagh Loughran United Kingdom
Theresa L. Whiteside United States
Tomitaro Onoue Japan
C Mazeau France
Allan Balmain United Kingdom
Anja Böhnke Germany
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Citations per field
00.5×1.7×
Janet Benefield · 1×
Citations per year

Countries citing papers authored by Shi Yu Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Shi Yu Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Shi Yu Zhang, 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 Shi Yu Zhang Line = papers co-authored together Shi Yu Zhang links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20241
2 20179
3 200212
4 200234
5
Image cytometry of cyclin D1: a prognostic marker for head and neck squamous cell carcinomas.
20016
6
E2F-1 gene transfer enhances invasiveness of human head and neck carcinoma cell lines.
200046
7
E2F-1: a proliferative marker of breast neoplasia.
200086
8
Increased expression of G1 cyclins and cyclin-dependent kinases during tumor progression of chemically induced mouse skin neoplasms.
199733
9
Higher frequency of alterations in the p16/CDKN2 gene in squamous cell carcinoma cell lines than in primary tumors of the head and neck.
1994210

About Shi Yu Zhang

Shi Yu Zhang is a scholar working on Oncology, Pharmaceutical Science and Cancer Research, having authored 9 papers that have together received 437 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), RNA modifications and cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer Genomics and Diagnostics (2 papers), Berberine and alkaloids research (1 paper), Cell death mechanisms and regulation (1 paper), Cancer Research and Treatments (1 paper) and Hedgehog Signaling Pathway Studies (1 paper). The work is most often cited by research in Oncology (293 citations), Cancer Research (111 citations) and Otorhinolaryngology (25 citations). Shi Yu Zhang has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Andres J. Klein–Szanto, Tamra Goodrow, John A. Ridge, Edward R. Sauter, Dennis A. Carson, Shin‐ichiro Mitsunaga, Tsutomu Nobori, James S. Babb, Xu Guo and D. Gale Johnson. Their work appears in journals such as Molecular Carcinogenesis, Journal of Bioactive and Compatible Polymers and PubMed.

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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