T. Daniel Andrews
- Aging top 0.5%
- Genetics top 2%
- Genomics and Rare Diseases 9
- Genomic variations and chromosomal abnormalities 5
- Paleontology top 5%
- Archaeology and ancient environmental studies 8
- Immunology top 5%
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 10
- RNA and protein synthesis mechanisms 5
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- Indigenous Studies and Ecology 10
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- Geology and Paleoclimatology Research 7
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- Cancer Genomics and Diagnostics 5
- Co-authors
- Linda PartridgeNigel P. CarterMatthew E. HurlesSusan BroughtonSebastian GrönkeJonathan K. PritchardDonald F. ConradChristopher C. Goodnow
- Cited by
- AgingGeneticsPaleontology
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Bioinformatics (3 papers)PLoS Genetics (3 papers)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
T. Daniel Andrews
59 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 149
- Aging 309
- Genetics 1.1k
- Paleontology 217
- Immunology 542
- Molecular Biology 1.7k
Countries citing papers authored by T. Daniel Andrews
This map shows the geographic impact of T. Daniel Andrews'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 T. Daniel Andrews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Daniel Andrews more than expected).
Fields of papers citing papers by T. Daniel Andrews
This network shows the impact of papers produced by T. Daniel Andrews. 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 T. Daniel Andrews. The network helps show where T. Daniel Andrews may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T. Daniel Andrews, 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 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 0 | |
| 7 | Integrating Geomatics, Geophysics, and Local Knowledge to Relocate the Original Fort Providence Cemetery, Northwest Territories | 2021 | 2 |
| 8 | 2021 | 5 | |
| 9 | 2019 | 131 | |
| 10 | 2019 | 7 | |
| 11 | 2016 | 66 | |
| 12 | 2016 | 33 | |
| 13 | 2015 | 27 | |
| 14 | 2013 | 12 | |
| 15 | 2012 | 1 | |
| 16 | 2010 | 480 | |
| 17 | 2009 | 12 | |
| 18 | 2007 | 8 | |
| 19 | 2007 | 101 | |
| 20 | 2000 | 34 |
About T. Daniel Andrews
T. Daniel Andrews is a scholar working on Space and Planetary Science, Aging and Paleontology, having authored 62 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Indigenous Studies and Ecology (10 papers), Genomics and Rare Diseases (9 papers), Archaeology and ancient environmental studies (8 papers), Geology and Paleoclimatology Research (7 papers), Cancer Genomics and Diagnostics (5 papers), RNA and protein synthesis mechanisms (5 papers) and Genomic variations and chromosomal abnormalities (5 papers). The work is most often cited by research in Aging (309 citations), Genetics (1.1k citations) and Paleontology (217 citations). T. Daniel Andrews has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Linda Partridge, Nigel P. Carter, Matthew E. Hurles, Susan Broughton, Sebastian Grönke, Jonathan K. Pritchard, Donald F. Conrad, Christopher C. Goodnow, Glen MacKay and Vicky Cho. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics, PLoS Genetics, Nature Communications and Journal of Molecular Evolution.
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.