Maria Fuller
Impact in
- Physiology top 0.5%
- Lysosomal Storage Disorders Research
- Cell Biology top 1%
- Cellular transport and secretion
Papers in
- Physiology 108
- Lysosomal Storage Disorders Research 105
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- Glycosylation and Glycoproteins Research 12
- Sphingolipid Metabolism and Signaling 11
- Co-authors
- John J. Hopwood (40 shared papers)Peter J. Meikle (26 shared papers)Jennifer T. Saville (25 shared papers)Leanne K. Hein (8 shared papers)Doug A. Brooks (9 shared papers)Tina Rozaklis (6 shared papers)Janice M. Fletcher (8 shared papers)Donald S. Anson (4 shared papers)
- Journals
- Molecular Genetics and Metabolism (28 papers)Neurology (4 papers)Clinical Chemistry (4 papers)Glycobiology (3 papers)PLoS ONE (3 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Maria Fuller
131 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 119
- Physiology 2.3k
- Cell Biology 897
- Physiology 167
- Rheumatology 304
- Epidemiology 663
Countries citing papers authored by Maria Fuller
This map shows the geographic impact of Maria Fuller'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 Maria Fuller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Fuller more than expected).
Fields of papers citing papers by Maria Fuller
This network shows the impact of papers produced by Maria Fuller. 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 Maria Fuller. The network helps show where Maria Fuller may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria Fuller, 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 135 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 268 | |
| 2 | 2011 | 130 | |
| 3 | 2006 | 125 | |
| 4 | 2002 | 113 | |
| 5 | 2008 | 112 | |
| 6 | 2006 | 88 | |
| 7 | 2004 | 75 | |
| 8 | 2016 | 74 | |
| 9 | 2008 | 72 | |
| 10 | 2020 | 70 | |
| 11 | Epidemiology of lysosomal storage diseases: an overview | 2006 | 70 |
| 12 | 2004 | 58 | |
| 13 | 2013 | 58 | |
| 14 | 2009 | 58 | |
| 15 | 2004 | 51 | |
| 16 | 2007 | 51 | |
| 17 | 2008 | 49 | |
| 18 | 2005 | 48 | |
| 19 | 2009 | 48 | |
| 20 | 2018 | 47 |
About Maria Fuller
Maria Fuller is a scholar working on Physiology, Molecular Biology, Cell Biology, Organic Chemistry and Epidemiology, having authored 135 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (105 papers), Cellular transport and secretion (34 papers), Carbohydrate Chemistry and Synthesis (29 papers), Trypanosoma species research and implications (19 papers), Glycogen Storage Diseases and Myoclonus (15 papers), Glycosylation and Glycoproteins Research (12 papers), Sphingolipid Metabolism and Signaling (11 papers) and Biomedical Research and Pathophysiology (8 papers). The work is most often cited by research in Physiology (2.3k citations), Cell Biology (897 citations), Physiology (167 citations), Rheumatology (304 citations) and Epidemiology (663 citations). Maria Fuller has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include John J. Hopwood, Peter J. Meikle, Jennifer T. Saville, Leanne K. Hein, Doug A. Brooks, Tina Rozaklis, Janice M. Fletcher, Donald S. Anson, D S Anson and Phillip D. Whitfield. Their work appears in journals such as Molecular Genetics and Metabolism, Neurology, Clinical Chemistry, Glycobiology and PLoS ONE.
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.