Troy A. A. Harkness
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 14
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics 11
- Epigenetics and DNA Methylation 6
- Photosynthetic Processes and Mechanisms 5
- DNA Repair Mechanisms 4
- Mitochondrial Function and Pathology 4
- Cell Biology top 10%
- Microtubule and mitosis dynamics 8
- Geriatrics and Gerontology top 10%
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- Plant Molecular Biology Research 9
- Co-authors
- Terra ArnasonGerald F. DaviesJessica K. TylerChandrima DasJoshua J. CarsonDavid M. TruongJeffrey S. KieftSpike D. L. Postnikoff
- Cited by
- AgingMolecular BiologyCell Biology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)Genes & Development (1 paper)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
Troy A. A. Harkness
48 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 101
- Aging 263
- Molecular Biology 1.2k
- Cell Biology 164
- Geriatrics and Gerontology 32
- Cancer Research 82
Countries citing papers authored by Troy A. A. Harkness
This map shows the geographic impact of Troy A. A. Harkness'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 Troy A. A. Harkness with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Troy A. A. Harkness more than expected).
Fields of papers citing papers by Troy A. A. Harkness
This network shows the impact of papers produced by Troy A. A. Harkness. 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 Troy A. A. Harkness. The network helps show where Troy A. A. Harkness may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Troy A. A. Harkness, 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 | 2021 | 7 | |
| 2 | 2018 | 11 | |
| 3 | 2018 | 8 | |
| 4 | 2016 | 3 | |
| 5 | Induced Breast Cancer Cell Apoptosis by Synchrotron-Based Irradiation with Monochromatic Microbeams | 2016 | 1 |
| 6 | 2015 | 23 | |
| 7 | 2015 | 13 | |
| 8 | 2014 | 12 | |
| 9 | 2012 | 14 | |
| 10 | 2012 | 54 | |
| 11 | 2012 | 1 | |
| 12 | 2011 | 10 | |
| 13 | 2010 | 311 | |
| 14 | 2009 | 18 | |
| 15 | 2008 | 6 | |
| 16 | 2008 | 15 | |
| 17 | 2005 | 25 | |
| 18 | 2003 | 4 | |
| 19 | 1995 | 16 | |
| 20 | 1994 | 30 |
About Troy A. A. Harkness
Troy A. A. Harkness is a scholar working on Aging, Cell Biology and Molecular Biology, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (14 papers), Genomics and Chromatin Dynamics (11 papers), Plant Molecular Biology Research (9 papers), Microtubule and mitosis dynamics (8 papers), Epigenetics and DNA Methylation (6 papers), Photosynthetic Processes and Mechanisms (5 papers), DNA Repair Mechanisms (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Aging (263 citations), Molecular Biology (1.2k citations) and Cell Biology (164 citations). Troy A. A. Harkness has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Terra Arnason, Gerald F. Davies, Jessica K. Tyler, Chandrima Das, Joshua J. Carson, David M. Truong, Jeffrey S. Kieft, Spike D. L. Postnikoff, Michael C. Schultz and Mackenzie E. Malo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.
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.