Donna Denton
Impact in
- Aging top 5%
- Epidemiology top 2%
- Autophagy in Disease and Therapy
Papers in
- Epidemiology 21
- Autophagy in Disease and Therapy 21
- Immunology 11
- Invertebrate Immune Response Mechanisms 10
- Co-authors
- Sharad Kumar (28 shared papers)Shannon Nicolson (10 shared papers)Tianqi Xu (10 shared papers)Kathryn Mills (5 shared papers)Eric H. Baehrecke (3 shared papers)Rachel T. Simin (3 shared papers)Bhupendra V. Shravage (3 shared papers)Deborah L. Berry (1 shared paper)
- Journals
- Cell Death and Differentiation (8 papers)Autophagy (4 papers)Methods in enzymology on CD-ROM/Methods in enzymology (2 papers)Cell Research (1 paper)Cell Death Discovery (1 paper)
- Partner nations
- AustraliaUnited StatesFrance
In The Last Decade
Donna Denton
31 papers receiving 2.0k citations
Donna Denton's Hit Papers
Peers
Comparison fields: 5 of 100
- Aging 60
- Epidemiology 1.0k
- Physiology 109
- Cell Biology 260
- Immunology 315
Countries citing papers authored by Donna Denton
This map shows the geographic impact of Donna Denton'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 Donna Denton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna Denton more than expected).
Fields of papers citing papers by Donna Denton
This network shows the impact of papers produced by Donna Denton. 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 Donna Denton. The network helps show where Donna Denton may publish in the future.
Co-authors
The 25 scholars most cited alongside Donna Denton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Autophagy-dependent cell death Hit paper breakdown → | 2018 | 624 |
| 2 | 2011 | 326 | |
| 3 | 2009 | 305 | |
| 4 | 2014 | 142 | |
| 5 | 2013 | 65 | |
| 6 | 2012 | 61 | |
| 7 | 2015 | 58 | |
| 8 | 2019 | 49 | |
| 9 | 2018 | 45 | |
| 10 | 2013 | 44 | |
| 11 | 2015 | 41 | |
| 12 | 2010 | 40 | |
| 13 | 2020 | 33 | |
| 14 | 2008 | 31 | |
| 15 | 2008 | 26 | |
| 16 | 2015 | 21 | |
| 17 | 2010 | 20 | |
| 18 | 2018 | 20 | |
| 19 | 2023 | 18 | |
| 20 | 2016 | 18 |
About Donna Denton
Donna Denton is a scholar working on Epidemiology, Immunology, Public Health, Environmental and Occupational Health, Cell Biology and Physiology, having authored 31 papers that have together received 2.1k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (21 papers), Invertebrate Immune Response Mechanisms (10 papers), Mosquito-borne diseases and control (9 papers), Cellular transport and secretion (5 papers), Neurobiology and Insect Physiology Research (4 papers), Epigenetics and DNA Methylation (3 papers), Studies on Chitinases and Chitosanases (3 papers) and Calcium signaling and nucleotide metabolism (3 papers). The work is most often cited by research in Aging (60 citations), Epidemiology (1.0k citations), Physiology (109 citations), Cell Biology (260 citations) and Immunology (315 citations). Donna Denton has collaborated with scholars based in Australia, United States and France. Frequent co-authors include Sharad Kumar, Shannon Nicolson, Tianqi Xu, Kathryn Mills, Eric H. Baehrecke, Rachel T. Simin, Bhupendra V. Shravage, Deborah L. Berry, May Thandar Aung-Htut and Louise V. O’Keefe. Their work appears in journals such as Cell Death and Differentiation, Autophagy, Methods in enzymology on CD-ROM/Methods in enzymology, Cell Research and Cell Death Discovery.
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.