Chad Torrice
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 1%
- Telomeres, Telomerase, and Senescence
Papers in
-
- Protein Degradation and Inhibitors 2
- Metabolism, Diabetes, and Cancer 2
-
- Telomeres, Telomerase, and Senescence 7
- Co-authors
- Norman E. Sharpless (18 shared papers)Janakiraman Krishnamurthy (7 shared papers)Matthew R. Ramsey (5 shared papers)Lishan Su (3 shared papers)Khalid Al-Regaiey (2 shared papers)Kovalev Gi (2 shared papers)Keith L. Ligon (2 shared papers)Angela Koh (1 shared paper)
- Journals
- Journal of Clinical Investigation (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Aging Cell (2 papers)Cancer Research (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesGermanyFinland
In The Last Decade
Chad Torrice
33 papers receiving 3.7k citations
Chad Torrice's Hit Papers
Peers
Comparison fields: 5 of 120
- Aging 407
- Physiology 1.4k
- Geriatrics and Gerontology 137
- Cancer Research 384
- Molecular Biology 1.7k
Countries citing papers authored by Chad Torrice
This map shows the geographic impact of Chad Torrice'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 Chad Torrice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Torrice more than expected).
Fields of papers citing papers by Chad Torrice
This network shows the impact of papers produced by Chad Torrice. 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 Chad Torrice. The network helps show where Chad Torrice may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad Torrice, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ink4a/Arf expression is a biomarker of aging Hit paper breakdown → | 2004 | 1226 |
| 2 | p16INK4a induces an age-dependent decline in islet regenerative potential Hit paper breakdown → | 2006 | 840 |
| 3 | 2009 | 380 | |
| 4 | 2014 | 204 | |
| 5 | 2009 | 201 | |
| 6 | 2010 | 139 | |
| 7 | 2007 | 135 | |
| 8 | 2010 | 127 | |
| 9 | 2004 | 107 | |
| 10 | 2007 | 71 | |
| 11 | 2016 | 57 | |
| 12 | 2007 | 53 | |
| 13 | 2019 | 45 | |
| 14 | 2004 | 42 | |
| 15 | 2015 | 31 | |
| 16 | 2010 | 30 | |
| 17 | 2019 | 26 | |
| 18 | 2019 | 19 | |
| 19 | 2020 | 18 | |
| 20 | 2016 | 9 |
About Chad Torrice
Chad Torrice is a scholar working on Molecular Biology, Physiology, Organic Chemistry, Oncology and Infectious Diseases, having authored 35 papers that have together received 3.8k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (7 papers), Quinazolinone synthesis and applications (4 papers), Cancer-related Molecular Pathways (4 papers), HIV/AIDS drug development and treatment (3 papers), HIV-related health complications and treatments (3 papers), Protein Degradation and Inhibitors (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Aging (407 citations), Physiology (1.4k citations), Geriatrics and Gerontology (137 citations), Cancer Research (384 citations) and Molecular Biology (1.7k citations). Chad Torrice has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include Norman E. Sharpless, Janakiraman Krishnamurthy, Matthew R. Ramsey, Lishan Su, Khalid Al-Regaiey, Kovalev Gi, Keith L. Ligon, Angela Koh, Susan Bonner‐Weir and Hanna K. Sanoff. Their work appears in journals such as Journal of Clinical Investigation, Bioorganic & Medicinal Chemistry Letters, Aging Cell, Cancer Research and PLoS ONE.
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.