Daniel J. Tyrrell
Impact in
- Geriatrics and Gerontology top 5%
- Frailty in Older Adults
- Aging top 10%
Papers in
-
- Mitochondrial Function and Pathology 6
- Single-cell and spatial transcriptomics 3
-
- Adipose Tissue and Metabolism 4
- 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)Daniel Beard (1 shared paper)
- Journals
- Aging Cell (2 papers)Nature Reviews Cardiology (2 papers)eLife (2 papers)Journal of Visualized Experiments (2 papers)Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Daniel J. Tyrrell
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Geriatrics and Gerontology 73
- Aging 25
- Immunology 202
- Physiology 235
- Biological Psychiatry 16
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 | 301 | |
| 2 | 2019 | 169 | |
| 3 | 2017 | 90 | |
| 4 | 2016 | 84 | |
| 5 | 2014 | 76 | |
| 6 | 2015 | 59 | |
| 7 | 2017 | 57 | |
| 8 | 2023 | 55 | |
| 9 | 2020 | 39 | |
| 10 | 2015 | 29 | |
| 11 | 2023 | 28 | |
| 12 | 2023 | 23 | |
| 13 | 2023 | 22 | |
| 14 | 2015 | 22 | |
| 15 | 2024 | 6 | |
| 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 1.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Adipose Tissue and Metabolism (4 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Metabolism and Genetic Disorders (3 papers), Single-cell and spatial transcriptomics (3 papers), Diversity and Career in Medicine (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Geriatrics and Gerontology (73 citations), Aging (25 citations), Immunology (202 citations), Physiology (235 citations) and Biological Psychiatry (16 citations). Daniel J. Tyrrell has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Daniel R. Goldstein, Manish S. Bharadwaj, Anthony Molina, Jianrui Song, Sherri C. Wood, Muriel G. Blin, Barbara J. Nicklas, Daniel Beard, Min Zhang and Cynthia G. Van Horn. Their work appears in journals such as Aging Cell, Nature Reviews Cardiology, eLife, Journal of Visualized Experiments and Bioinformatics.
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.