Jared T. Field
Impact in
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- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
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- Autophagy in Disease and Therapy
Papers in
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- Mitochondrial Function and Pathology 4
- Muscle Physiology and Disorders 2
- Cell death mechanisms and regulation 2
- Extracellular vesicles in disease 1
- Ubiquitin and proteasome pathways 1
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- Autophagy in Disease and Therapy 6
- Co-authors
- Joseph W. Gordon (12 shared papers)Saeid Ghavami (6 shared papers)Donald Chapman (8 shared papers)Grant M. Hatch (4 shared papers)Hai Yan (4 shared papers)William Diehl‐Jones (3 shared papers)Vernon W. Dolinsky (4 shared papers)Simone C. da Silva Rosa (2 shared papers)
- Journals
- Autophagy (2 papers)Cell Death Discovery (2 papers)Toxicology and Applied Pharmacology (1 paper)The FASEB Journal (1 paper)Canadian Journal of Cardiology (1 paper)
- Partner nations
- CanadaUnited StatesIran
In The Last Decade
Jared T. Field
12 papers receiving 371 citations
Peers
Comparison fields: 5 of 71
- Cancer Research 95
- Epidemiology 132
- Geriatrics and Gerontology 13
- Physiology 13
- Molecular Biology 182
Countries citing papers authored by Jared T. Field
This map shows the geographic impact of Jared T. Field'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 Jared T. Field with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared T. Field more than expected).
Fields of papers citing papers by Jared T. Field
This network shows the impact of papers produced by Jared T. Field. 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 Jared T. Field. The network helps show where Jared T. Field may publish in the future.
Co-authors
The 25 scholars most cited alongside Jared T. Field, 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 | 2017 | 117 | |
| 2 | 2020 | 86 | |
| 3 | 2022 | 44 | |
| 4 | 2018 | 39 | |
| 5 | 2018 | 32 | |
| 6 | 2018 | 23 | |
| 7 | 2022 | 15 | |
| 8 | 2020 | 9 | |
| 9 | 2019 | 3 | |
| 10 | 2025 | 2 | |
| 11 | 2018 | 1 | |
| 12 | 2023 | 1 |
About Jared T. Field
Jared T. Field is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Cardiology and Cardiovascular Medicine and Physiology, having authored 12 papers that have together received 372 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Mitochondrial Function and Pathology (4 papers), Muscle Physiology and Disorders (2 papers), Cell death mechanisms and regulation (2 papers), Adipose Tissue and Metabolism (2 papers), Cardiac Ischemia and Reperfusion (1 paper), Extracellular vesicles in disease (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cancer Research (95 citations), Epidemiology (132 citations), Geriatrics and Gerontology (13 citations), Physiology (13 citations) and Molecular Biology (182 citations). Jared T. Field has collaborated with scholars based in Canada, United States and Iran. Frequent co-authors include Joseph W. Gordon, Saeid Ghavami, Donald Chapman, Grant M. Hatch, Hai Yan, William Diehl‐Jones, Vernon W. Dolinsky, Simone C. da Silva Rosa, James A. Thliveris and Adrian R. West. Their work appears in journals such as Autophagy, Cell Death Discovery, Toxicology and Applied Pharmacology, The FASEB Journal and Canadian Journal of Cardiology.
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.