Darren J. Baker
- Molecular Biology top 0.5%
- Physiology top 0.05%
- Immunology top 0.5%
- Aging top 0.05%
- Cell Biology top 0.5%
- Co-authors
- Jan M. van DeursenBennett G. ChildsMatej DurikTobias WijshakeJames L. KirklandKarthik B. JeganathanBart van de SluisNathan K. LeBrasseur
- Topics
- Telomeres, Telomerase, and Senescence (33 papers)Microtubule and mitosis dynamics (20 papers)Neuroinflammation and Neurodegeneration Mechanisms (9 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Darren J. Baker
79 papers receiving 17.7k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 8.6k
- Physiology 8.1k
- Immunology 3.5k
- Aging 2.1k
- Cell Biology 1.9k
Countries citing papers authored by Darren J. Baker
This map shows the geographic impact of Darren J. Baker'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 Darren J. Baker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darren J. Baker more than expected).
Fields of papers citing papers by Darren J. Baker
This network shows the impact of papers produced by Darren J. Baker. 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 Darren J. Baker. The network helps show where Darren J. Baker may publish in the future.
Co-authorship network of co-authors of Darren J. Baker
This figure shows the co-authorship network connecting the top 25 collaborators of Darren J. Baker. A scholar is included among the top collaborators of Darren J. Baker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Darren J. Baker. Darren J. Baker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 5 | |
| 5 | 24 | |
| 6 | 3 | |
| 7 | 52 | |
| 8 | 177 | |
| 9 | 84 | |
| 10 | 4 | |
| 11 | Cellular senescence in brain aging and neurodegenerative diseases: evidence and perspectivesbreakdown → | 360 |
| 12 | 9 | |
| 13 | 59 | |
| 14 | Senescent intimal foam cells are deleterious at all stages of atherosclerosisbreakdown → | 857 |
| 15 | Cellular senescence in aging and age-related disease: from mechanisms to therapybreakdown → | 1670 |
| 16 | 28 | |
| 17 | 52 | |
| 18 | 62 | |
| 19 | 73 | |
| 20 | 294 |
About Darren J. Baker
Darren J. Baker is a scholar working on Aging, Physiology and Cell Biology, having authored 81 papers that have together received 17.9k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (33 papers), Microtubule and mitosis dynamics (20 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). The work is most often cited by research in Aging (2.1k citations), Physiology (8.1k citations) and Geriatrics and Gerontology (696 citations). Darren J. Baker has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Jan M. van Deursen, Bennett G. Childs, Matej Durik, Tobias Wijshake, James L. Kirkland, Karthik B. Jeganathan, Bart van de Sluis, Nathan K. LeBrasseur, Judith Campisi and Valery Krizhanovsky. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.