Chad Torrice
- Aging top 0.5%
- Physiology top 1%
- Telomeres, Telomerase, and Senescence 7
- Geriatrics and Gerontology top 2%
- Cancer Research top 5%
- Molecular Biology top 5%
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- Cancer-related Molecular Pathways 4
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- HIV-related health complications and treatments 4
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- HIV/AIDS drug development and treatment 4
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- Quinazolinone synthesis and applications 4
- Synthesis and biological activity 2
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- Cytomegalovirus and herpesvirus research 4
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- Bioactive Compounds and Antitumor Agents 2
- Co-authors
- Norman E. SharplessJanakiraman KrishnamurthyMatthew R. RamseyLishan SuKhalid Al-RegaieyKovalev GiKeith L. LigonAngela Koh
- Journals
- Journal of Clinical Investigation (3 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Aging Cell (2 papers)
- Partner nations
- United StatesFinlandGermany
In The Last Decade
Chad Torrice
33 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Aging 396
- Physiology 1.4k
- Geriatrics and Gerontology 159
- Cancer Research 418
- Molecular Biology 1.8k
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 2 | |
| 4 | 2022 | 6 | |
| 5 | 2021 | 7 | |
| 6 | 2020 | 1 | |
| 7 | 2019 | 19 | |
| 8 | 2016 | 5 | |
| 9 | 2016 | 56 | |
| 10 | 2015 | 29 | |
| 11 | 2014 | 199 | |
| 12 | 2010 | 134 | |
| 13 | 2010 | 116 | |
| 14 | 2010 | 28 | |
| 15 | 2009 | 357 | |
| 16 | 2007 | 66 | |
| 17 | 2007 | 53 | |
| 18 | 2007 | 132 | |
| 19 | p16INK4a induces an age-dependent decline in islet regenerative potentialbreakdown → | 2006 | 785 |
| 20 | Ink4a/Arf expression is a biomarker of agingbreakdown → | 2004 | 1167 |
About Chad Torrice
Chad Torrice is a scholar working on Aging, Toxicology and Emergency Medicine, having authored 35 papers that have together received 3.6k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (7 papers), Cancer-related Molecular Pathways (4 papers), HIV-related health complications and treatments (4 papers), HIV/AIDS drug development and treatment (4 papers), Quinazolinone synthesis and applications (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Bioactive Compounds and Antitumor Agents (2 papers) and Synthesis and biological activity (2 papers). The work is most often cited by research in Aging (396 citations), Physiology (1.4k citations) and Geriatrics and Gerontology (159 citations). Chad Torrice has collaborated with scholars based in United States, Finland and Germany. 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, CPT Pharmacometrics & Systems Pharmacology 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.