Colin Thacker
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in ⓘ
- Aging 12
- Genetics, Aging, and Longevity in Model Organisms 12
- Co-authors
- Ann M. Rose (5 shared papers)Chiara Tyndall (1 shared paper)Jennifer M. Favaloro (1 shared paper)Girolama La Mantia (1 shared paper)Robert Kamen (1 shared paper)Terrance P. Snutch (4 shared papers)Martin Srayko (2 shared papers)Steven Joshua Romney (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Current Biology (2 papers)Neuron (2 papers)Gene (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Colin Thacker
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Aging 426
- Endocrine and Autonomic Systems 200
- Cellular and Molecular Neuroscience 245
- Molecular Biology 530
- Oncology 175
Countries citing papers authored by Colin Thacker
This map shows the geographic impact of Colin Thacker'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 Colin Thacker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin Thacker more than expected).
Fields of papers citing papers by Colin Thacker
This network shows the impact of papers produced by Colin Thacker. 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 Colin Thacker. The network helps show where Colin Thacker may publish in the future.
Co-authors
The 25 scholars most cited alongside Colin Thacker, 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 | 1981 | 279 | |
| 2 | 2010 | 114 | |
| 3 | 2007 | 89 | |
| 4 | 1995 | 85 | |
| 5 | 2007 | 75 | |
| 6 | 2015 | 63 | |
| 7 | 2003 | 61 | |
| 8 | 2000 | 60 | |
| 9 | 2005 | 56 | |
| 10 | 2011 | 51 | |
| 11 | 2006 | 49 | |
| 12 | 1999 | 45 | |
| 13 | 2013 | 42 | |
| 14 | 2007 | 37 | |
| 15 | 2003 | 31 | |
| 16 | 1998 | 18 | |
| 17 | 2000 | 16 | |
| 18 | 2014 | 9 | |
| 19 | 2003 | 4 |
About Colin Thacker
Colin Thacker is a scholar working on Aging, Developmental Neuroscience, Cellular and Molecular Neuroscience, Hematology and Molecular Biology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (12 papers), CRISPR and Genetic Engineering (4 papers), Photoreceptor and optogenetics research (4 papers), Neuroscience and Neural Engineering (2 papers), Iron Metabolism and Disorders (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Epigenetics and DNA Methylation (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Aging (426 citations), Endocrine and Autonomic Systems (200 citations), Cellular and Molecular Neuroscience (245 citations), Molecular Biology (530 citations) and Oncology (175 citations). Colin Thacker has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Ann M. Rose, Chiara Tyndall, Jennifer M. Favaloro, Girolama La Mantia, Robert Kamen, Terrance P. Snutch, Martin Srayko, Steven Joshua Romney, Elizabeth A. Leibold and Kirsten E. Peters. Their work appears in journals such as Journal of Biological Chemistry, Current Biology, Neuron, Gene and Journal of Neuroscience.
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.