Jerry W. Shay
- Aging top 2%
- Physiology top 1%
- Telomeres, Telomerase, and Senescence 10
- Biotechnology top 1%
- Cancer Research and Treatments 3
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 3
- Cell death mechanisms and regulation 3
- Genetics top 10%
- Virus-based gene therapy research 1
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- Neuroblastoma Research and Treatments 2
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- Immunotherapy and Immune Responses 2
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- Hematopoietic Stem Cell Transplantation 1
- Co-authors
- Woodring E. WrightMieczyslaw A. PiatyszekShawn E. HoltTakashi YokoyamaKeiko HiyamaEiso HiyamaYuichiro MatsuuraMachiko Ogoshi
- Cited by
- AgingPhysiologyBiotechnology
- Partner nations
- United StatesJapan
In The Last Decade
Jerry W. Shay
11 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Aging 147
- Physiology 1.4k
- Biotechnology 399
- Molecular Biology 1.0k
- Genetics 302
Countries citing papers authored by Jerry W. Shay
This map shows the geographic impact of Jerry 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 Jerry 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 Jerry W. Shay more than expected).
Fields of papers citing papers by Jerry W. Shay
This network shows the impact of papers produced by Jerry 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 Jerry W. Shay. The network helps show where Jerry W. Shay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jerry W. Shay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | Treatment of malignant glioma cells with the transfer of constitutively active caspase-6 using the human telomerase catalytic subunit (human telomerase reverse transcriptase) gene promoter. | 2001 | 99 |
| 3 | 1999 | 40 | |
| 4 | 1999 | 196 | |
| 5 | 1996 | 103 | |
| 6 | 1996 | 230 | |
| 7 | 1996 | 329 | |
| 8 | Correlating telomerase activity levels with human neuroblastoma outcomesbreakdown → | 1995 | 541 |
| 9 | 1993 | 138 | |
| 10 | 1993 | 34 | |
| 11 | 1989 | 222 |
About Jerry W. Shay
Jerry W. Shay is a scholar working on Aging, Physiology, Biotechnology, Neurology and Dermatology, having authored 11 papers that have together received 1.9k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (10 papers), RNA Interference and Gene Delivery (3 papers), Cancer Research and Treatments (3 papers), Cell death mechanisms and regulation (3 papers), Neuroblastoma Research and Treatments (2 papers), Immunotherapy and Immune Responses (2 papers), Virus-based gene therapy research (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Aging (147 citations), Physiology (1.4k citations), Biotechnology (399 citations), Molecular Biology (1.0k citations) and Genetics (302 citations). Jerry W. Shay has collaborated with scholars based in United States and Japan. Frequent co-authors include Woodring E. Wright, Mieczyslaw A. Piatyszek, Shawn E. Holt, Takashi Yokoyama, Keiko Hiyama, Eiso Hiyama, Yuichiro Matsuura, Machiko Ogoshi, Ruben D. Ramirez and Marsha Chaffins. Their work appears in journals such as Experimental Cell Research, Cancer, Nature Medicine, Breast Cancer Research and Treatment and Journal of Cellular Physiology.
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.