Jerry W. Shay
- Physiology top 1%
- Molecular Biology top 5%
- Oncology top 5%
- Aging top 0.5%
- Biotechnology top 2%
- Co-authors
- Woodring E. WrightRichard AllsoppMieczyslaw A. PiatyszekЕ. И. РогаевEdwin ChangAnne M. TheodorasMichele PaganoSun W. Tam
- Topics
- Telomeres, Telomerase, and Senescence (12 papers)RNA Interference and Gene Delivery (4 papers)Immunotherapy and Immune Responses (2 papers)
- Cited by
- AgingPhysiologyBiotechnology
- Partner nations
- United StatesSaudi ArabiaFrance
In The Last Decade
Jerry W. Shay
17 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Physiology 1.9k
- Molecular Biology 1.7k
- Oncology 492
- Aging 339
- Biotechnology 313
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 of co-authors of Jerry W. Shay
This figure shows the co-authorship network connecting the top 25 collaborators of Jerry W. Shay. A scholar is included among the top collaborators of Jerry 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 Jerry W. Shay. Jerry 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 | 62 | |
| 2 | 204 | |
| 3 | 81 | |
| 4 | 410 | |
| 5 | 59 | |
| 6 | 33 | |
| 7 | 33 | |
| 8 | 215 | |
| 9 | 63 | |
| 10 | Reconstitution of human telomerase with the template RNA component hTR and the catalytic protein subunit hTRTbreakdown → | 812 |
| 11 | 142 | |
| 12 | 418 | |
| 13 | 118 | |
| 14 | Differential expression and regulation of Cyclin D1 protein in normal and tumor human cells: association with Cdk4 is required for Cyclin D1 function in G1 progression. | 250 |
| 15 | Use of isolated mitochondria to transfer chloramphenicol resistance in hamster cells. | 6 |
| 16 | 20 | |
| 17 | Economy of effort in electron microscope morphometry. | 77 |
About Jerry W. Shay
Jerry W. Shay is a scholar working on Aging, Physiology and Molecular Biology, having authored 17 papers that have together received 3.0k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (12 papers), RNA Interference and Gene Delivery (4 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Aging (339 citations), Physiology (1.9k citations) and Biotechnology (313 citations). Jerry W. Shay has collaborated with scholars based in United States, Saudi Arabia and France. Frequent co-authors include Woodring E. Wright, Richard Allsopp, Mieczyslaw A. Piatyszek, Е. И. Рогаев, Edwin Chang, Anne M. Theodoras, Michele Pagano, Sun W. Tam, Giulio Draetta and Scott L. Weinrich. Their work appears in journals such as Nature Genetics, Genes & Development and The EMBO Journal.
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.