Daniel J. Tyrrell
Impact in
- Geriatrics and Gerontology top 5%
- Frailty in Older Adults
- Aging top 10%
Papers in
-
- Mitochondrial Function and Pathology 7
- Single-cell and spatial transcriptomics 3
-
- Adipose Tissue and Metabolism 6
- Nutrition and Health in Aging 3
- Co-authors
- Daniel R. Goldstein (8 shared papers)Manish S. Bharadwaj (7 shared papers)Anthony Molina (7 shared papers)Jianrui Song (6 shared papers)Sherri C. Wood (4 shared papers)Muriel G. Blin (4 shared papers)Barbara J. Nicklas (3 shared papers)Min Zhang (1 shared paper)
- Journals
- Aging Cell (2 papers)Journal of Visualized Experiments (2 papers)Nature Reviews Cardiology (2 papers)eLife (2 papers)Circulation Research (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Daniel J. Tyrrell
20 papers receiving 995 citations
Peers
Comparison fields: 5 of 115
- Geriatrics and Gerontology 86
- Aging 25
- Physiology 280
- Immunology 218
- Biological Psychiatry 20
Countries citing papers authored by Daniel J. Tyrrell
This map shows the geographic impact of Daniel J. Tyrrell'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 Daniel J. Tyrrell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Tyrrell more than expected).
Fields of papers citing papers by Daniel J. Tyrrell
This network shows the impact of papers produced by Daniel J. Tyrrell. 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 Daniel J. Tyrrell. The network helps show where Daniel J. Tyrrell may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Tyrrell, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 281 | |
| 2 | 2019 | 161 | |
| 3 | 2017 | 87 | |
| 4 | 2016 | 79 | |
| 5 | 2014 | 74 | |
| 6 | 2015 | 55 | |
| 7 | 2017 | 54 | |
| 8 | 2023 | 47 | |
| 9 | 2020 | 35 | |
| 10 | 2015 | 28 | |
| 11 | 2023 | 24 | |
| 12 | 2015 | 22 | |
| 13 | 2023 | 18 | |
| 14 | 2023 | 18 | |
| 15 | 2024 | 5 | |
| 16 | 2015 | 4 | |
| 17 | 2024 | 3 | |
| 18 | Towards Tracking the Emissions of Every Power Plant on the Planet | 2020 | 3 |
| 19 | 2023 | 2 | |
| 20 | 2022 | 1 |
About Daniel J. Tyrrell
Daniel J. Tyrrell is a scholar working on Molecular Biology, Physiology, Immunology, Epidemiology and Clinical Biochemistry, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Adipose Tissue and Metabolism (6 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Single-cell and spatial transcriptomics (3 papers), Metabolism and Genetic Disorders (3 papers), Diversity and Career in Medicine (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Nutrition and Health in Aging (3 papers). The work is most often cited by research in Geriatrics and Gerontology (86 citations), Aging (25 citations), Physiology (280 citations), Immunology (218 citations) and Biological Psychiatry (20 citations). Daniel J. Tyrrell has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Daniel R. Goldstein, Manish S. Bharadwaj, Anthony Molina, Jianrui Song, Sherri C. Wood, Muriel G. Blin, Barbara J. Nicklas, Min Zhang, Daniel Beard and Cynthia G. Van Horn. Their work appears in journals such as Aging Cell, Journal of Visualized Experiments, Nature Reviews Cardiology, eLife and Circulation Research.
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.