Matthew J. Birket
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 4
- Physiology top 5%
- Telomeres, Telomerase, and Senescence 3
- Molecular Biology top 10%
- Pluripotent Stem Cells Research 7
- Mitochondrial Function and Pathology 7
- Congenital heart defects research 6
- CRISPR and Genetic Engineering 3
- RNA modifications and cancer 2
- Geriatrics and Gerontology top 10%
- Clinical Biochemistry top 10%
-
- Tissue Engineering and Regenerative Medicine 5
- Co-authors
- Mark A. Birch‐MachinJoão F. PassosThomas von ZglinickiGabriele SaretzkiHeiko PetersShaheda AhmedChristine L. MummeryAkos A. Gerencser
- Cited by
- AgingPhysiologyMolecular Biology
- Partner nations
- United KingdomNetherlandsUnited States
In The Last Decade
Matthew J. Birket
18 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Aging 247
- Physiology 773
- Molecular Biology 1.2k
- Geriatrics and Gerontology 35
- Clinical Biochemistry 59
Countries citing papers authored by Matthew J. Birket
This map shows the geographic impact of Matthew J. Birket'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 Matthew J. Birket with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Birket more than expected).
Fields of papers citing papers by Matthew J. Birket
This network shows the impact of papers produced by Matthew J. Birket. 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 Matthew J. Birket. The network helps show where Matthew J. Birket may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew J. Birket, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 2 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 15 | |
| 7 | 2019 | 49 | |
| 8 | 2019 | 13 | |
| 9 | 2015 | 160 | |
| 10 | 2015 | 35 | |
| 11 | 2015 | 140 | |
| 12 | 2014 | 49 | |
| 13 | 2013 | 61 | |
| 14 | 2012 | 169 | |
| 15 | 2011 | 138 | |
| 16 | 2008 | 18 | |
| 17 | 2008 | 375 | |
| 18 | Mitochondrial Dysfunction Accounts for the Stochastic Heterogeneity in Telomere-Dependent Senescencebreakdown → | 2007 | 599 |
| 19 | 2007 | 34 |
About Matthew J. Birket
Matthew J. Birket is a scholar working on Aging, Molecular Biology and Developmental Neuroscience, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), Mitochondrial Function and Pathology (7 papers), Congenital heart defects research (6 papers), Tissue Engineering and Regenerative Medicine (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), CRISPR and Genetic Engineering (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Aging (247 citations), Physiology (773 citations) and Molecular Biology (1.2k citations). Matthew J. Birket has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Mark A. Birch‐Machin, João F. Passos, Thomas von Zglinicki, Gabriele Saretzki, Heiko Peters, Shaheda Ahmed, Christine L. Mummery, Akos A. Gerencser, Graham Harold and Glyn Nelson.
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.