Aimée Donald

18 papers receiving 232 citations

Peers

Aimée Donald
Comparison fields: 5 of 62
  • Behavioral Neuroscience 19
  • Physiology 78
  • Cell Biology 39
  • Ecology 56
  • Genetics 41
Replace Stephanie J. Smith with:
Stephanie J. Smith Australia
CHRISTOPHER G. RUDMAN United States
Yuji Okawara Japan
Tashia Orr United States
Shelley L. Cargill United States
Christine A. Teitsma Netherlands
Xiaofeng Wan China
Deborah E. Newman United States
Melanie Weigert United States
A. I. FRANKEL United States
Aimée Donald relative to Stephanie J. Smith Australia Stephanie J. Smith's profile →
Citations per field
00.5×4.8×
Stephanie J. Smith · 1×
Citations per year

Countries citing papers authored by Aimée Donald

Since Specialization
Citations

This map shows the geographic impact of Aimée Donald'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 Aimée Donald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aimée Donald more than expected).

Fields of papers citing papers by Aimée Donald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aimée Donald. 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 Aimée Donald. The network helps show where Aimée Donald may publish in the future.

Co-authors

The 25 scholars most cited alongside Aimée Donald, 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 Aimée Donald Line = papers co-authored together Aimée Donald links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200664
2 201955
3 198827
4 202127
5 202216
6 202010
7 20198
8 20117
9 20217
10 20227
11 20253
12 19893
13 20252
14 20251
15 20251
16 20241
17 20231
18 20181
19 20250
20 20250

About Aimée Donald

Aimée Donald is a scholar working on Physiology, Molecular Biology, Organic Chemistry, Epidemiology and Cell Biology, having authored 21 papers that have together received 241 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (16 papers), Glycosylation and Glycoproteins Research (2 papers), Cellular transport and secretion (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Autism Spectrum Disorder Research (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Galectins and Cancer Biology (1 paper) and Neurogenetic and Muscular Disorders Research (1 paper). The work is most often cited by research in Behavioral Neuroscience (19 citations), Physiology (78 citations), Cell Biology (39 citations), Ecology (56 citations) and Genetics (41 citations). Aimée Donald has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Kelly Moyes, Sherri J. Morris, Tim Coulson, Byron J. T. Morgan, Tim Clutton‐Brock, Derralynn Hughes, M. J. Ellis, James Livesey, Reena Sharma and Anthony H.V. Schapira. Their work appears in journals such as Molecular Genetics and Metabolism, Orphanet Journal of Rare Diseases, European Journal of Paediatric Neurology, International Journal of Molecular Sciences and Neurology.

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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