Maria Fuller

4.6k citations
133 papers · 3.4k indexed · h-index 34

Impact in

  • Physiology top 0.5%
    • Lysosomal Storage Disorders Research
    • Cellular transport and secretion

Papers in

Maria Fuller

129 papers receiving 3.3k citations

Peers

Maria Fuller
Comparison fields: 5 of 122
  • Physiology 2.3k
  • Cell Biology 982
  • Physiology 191
  • Rheumatology 395
  • Epidemiology 799
Replace Haruaki Ninomiya with:
Haruaki Ninomiya Japan
K. Harzer Germany
Robin Lachmann United Kingdom
Gilles Millat France
Marcella Comly United States
Gunnar Houge Norway
Robert Rousson France
Randall A. Heidenreich United States
David Vı́lchez Germany
William F. Simonds United States
Maria Fuller relative to Haruaki Ninomiya Japan Haruaki Ninomiya's profile →
Citations per field
00.5×2.7×
Haruaki Ninomiya · 1×
Citations per year

Countries citing papers authored by Maria Fuller

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Maria Fuller Line = papers co-authored together Maria Fuller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20241
4 20245
5 20236
6 20237
7 20230
8 20229
9 20212
10 20218
11 202011
12 201420
13 201324
14 201224
15 200948
16 200920
17 2006125
18 200534
19 19985
20 199715

About Maria Fuller

Maria Fuller is a scholar working on Physiology, Cell Biology, Physiology, Rheumatology and Organic Chemistry, having authored 133 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (103 papers), Cellular transport and secretion (36 papers), Carbohydrate Chemistry and Synthesis (34 papers), Trypanosoma species research and implications (24 papers), Glycogen Storage Diseases and Myoclonus (20 papers), Glycosylation and Glycoproteins Research (12 papers), Sphingolipid Metabolism and Signaling (11 papers) and Biomedical Research and Pathophysiology (9 papers). The work is most often cited by research in Physiology (2.3k citations), Cell Biology (982 citations), Physiology (191 citations), Rheumatology (395 citations) and Epidemiology (799 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, Donald S. Anson, Janice M. Fletcher, D S Anson and Phillip D. Whitfield. Their work appears in journals such as Molecular Genetics and Metabolism, Clinical Chemistry, Neurology, Analytical Biochemistry and International Journal of Neonatal Screening.

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.

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