J W Shay
- Physiology top 5%
- Molecular Biology
- Oncology top 10%
- Biotechnology top 2%
- Epidemiology
- Topics
- Telomeres, Telomerase, and Senescence (5 papers)Cancer Research and Treatments (3 papers)Epigenetics and DNA Methylation (2 papers)
- Cited by
- BiotechnologyPhysiologyOncology
- Journals
- JNCI Journal of the National Cancer InstitutePubMed
- Partner nations
- JapanUnited States
In The Last Decade
J W Shay
10 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 79
- Physiology 642
- Molecular Biology 577
- Oncology 454
- Biotechnology 247
- Epidemiology 153
Countries citing papers authored by J W Shay
This map shows the geographic impact of J W Shay'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 J W Shay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J W Shay more than expected).
Fields of papers citing papers by J W Shay
This network shows the impact of papers produced by J W Shay. 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 J W Shay. The network helps show where J W Shay may publish in the future.
Co-authorship network of co-authors of J W Shay
This figure shows the co-authorship network connecting the top 25 collaborators of J W Shay. A scholar is included among the top collaborators of J W Shay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J W Shay. J W Shay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | High telomerase activity is an independent prognostic indicator of poor outcome in colorectal cancer. | 106 |
| 2 | 54 | |
| 3 | Telomerase activity in rheumatoid synovium correlates with the mononuclear cell infiltration level and disease aggressiveness of rheumatoid arthritis. | 15 |
| 4 | Characterization of a soluble KGF receptor cDNA from human corneal and breast epithelial cells. | 9 |
| 5 | Telomerase expression in respiratory epithelium during the multistage pathogenesis of lung carcinomas. | 150 |
| 6 | Telomerase activity in human liver tissues: comparison between chronic liver disease and hepatocellular carcinomas. | 287 |
| 7 | Telomerase activity in preneoplastic and neoplastic gastric and colorectal lesions. | 164 |
| 8 | Differential expression and cell cycle regulation of the cyclin-dependent kinase 4 inhibitor p16Ink4. | 203 |
| 9 | Transcriptional repression of the D-type cyclin-dependent kinase inhibitor p16 by the retinoblastoma susceptibility gene product pRb. | 300 |
| 10 | 8 |
About J W Shay
J W Shay is a scholar working on Biotechnology, Virology and Physiology, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (5 papers), Cancer Research and Treatments (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Biotechnology (247 citations), Physiology (642 citations) and Oncology (454 citations). J W Shay has collaborated with scholars based in Japan and United States. Frequent co-authors include Yuan Xiong, M.A. Nichols, Yan Li, See‐Ying Tam, Michele Pagano, M. Kitamoto, E Tahara, R. Nakashio, Toshinori Ide and Tomoko Nakanishi. Their work appears in journals such as JNCI Journal of the National Cancer Institute 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.