Anthony S. Don
Impact in
- Molecular Biology top 5%
- Sphingolipid Metabolism and Signaling
- Lipid Membrane Structure and Behavior
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
-
- Sphingolipid Metabolism and Signaling 42
- Lipid Membrane Structure and Behavior 15
- Metabolomics and Mass Spectrometry Studies 6
- Physiology 14
- Lysosomal Storage Disorders Research 5
- Alzheimer's disease research and treatments 5
- Co-authors
- Hugh Rosen (5 shared papers)Philip J. Hogg (5 shared papers)Timothy A. Couttas (16 shared papers)Nupur Kain (5 shared papers)David Marsolais (5 shared papers)Xin Ying Lim (7 shared papers)Pedro J. Gonzalez‐Cabrera (2 shared papers)Marta Sanna (2 shared papers)
- Journals
- Acta Neuropathologica Communications (4 papers)Oncotarget (3 papers)eLife (3 papers)Journal of Neurochemistry (3 papers)Glia (3 papers)
- Partner nations
- AustraliaUnited StatesChina
In The Last Decade
Anthony S. Don
72 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.9k
- Cell Biology 453
- Neurology 188
- Physiology 530
- Cancer Research 269
Countries citing papers authored by Anthony S. Don
This map shows the geographic impact of Anthony S. Don'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 Anthony S. Don with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony S. Don more than expected).
Fields of papers citing papers by Anthony S. Don
This network shows the impact of papers produced by Anthony S. Don. 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 Anthony S. Don. The network helps show where Anthony S. Don may publish in the future.
Co-authors
The 25 scholars most cited alongside Anthony S. Don, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 338 | |
| 2 | 2020 | 148 | |
| 3 | 2014 | 143 | |
| 4 | 2013 | 127 | |
| 5 | 2021 | 121 | |
| 6 | 2003 | 119 | |
| 7 | 2004 | 117 | |
| 8 | 2013 | 109 | |
| 9 | 2017 | 106 | |
| 10 | 2016 | 73 | |
| 11 | 2007 | 72 | |
| 12 | 2016 | 70 | |
| 13 | 2014 | 69 | |
| 14 | 2013 | 65 | |
| 15 | 2015 | 64 | |
| 16 | 2008 | 54 | |
| 17 | 2015 | 50 | |
| 18 | 2018 | 50 | |
| 19 | 2011 | 50 | |
| 20 | 2015 | 44 |
About Anthony S. Don
Anthony S. Don is a scholar working on Molecular Biology, Physiology, Cell Biology, Biochemistry and Immunology, having authored 74 papers that have together received 2.8k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (42 papers), Lipid Membrane Structure and Behavior (15 papers), Endoplasmic Reticulum Stress and Disease (11 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Lipid metabolism and biosynthesis (6 papers), Lysosomal Storage Disorders Research (5 papers), Alzheimer's disease research and treatments (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Cell Biology (453 citations), Neurology (188 citations), Physiology (530 citations) and Cancer Research (269 citations). Anthony S. Don has collaborated with scholars based in Australia, United States and China. Frequent co-authors include Hugh Rosen, Philip J. Hogg, Timothy A. Couttas, Nupur Kain, David Marsolais, Xin Ying Lim, Pedro J. Gonzalez‐Cabrera, Marta Sanna, Brett Garner and Wei‐Chieh Cheng. Their work appears in journals such as Acta Neuropathologica Communications, Oncotarget, eLife, Journal of Neurochemistry and Glia.
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.