Dyane Auclair

470 citations
13 papers · 385 indexed · h-index 10

Impact in

  • Physiology top 10%
    • Lysosomal Storage Disorders Research
  • Rheumatology top 10%
    • Glycogen Storage Diseases and Myoclonus

Papers in

    • Lysosomal Storage Disorders Research 11
    • Trypanosoma species research and implications 7

Dyane Auclair

13 papers receiving 376 citations

Peers

Dyane Auclair
Comparison fields: 5 of 48
  • Physiology 339
  • Rheumatology 89
  • Physiology 21
  • Cell Biology 75
  • Epidemiology 155
Replace C. Martini with:
C. Martini Italy
Alessandra Zanetti Italy
Kristiane Michelin‐Tirelli Brazil
Eugênia Ribeiro Valadares Brazil
Robert McGlynn United States
F. A. Beemer Netherlands
Christine Broissand France
Sue Ann Smith United States
Mario A. Cabrera-Salazar United States
GM Pastores United States
Dyane Auclair relative to C. Martini Italy C. Martini's profile →
Citations per field
00.5×1.5×1.8×
C. Martini · 1×
Citations per year

Countries citing papers authored by Dyane Auclair

Since Specialization
Citations

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

Fields of papers citing papers by Dyane Auclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200685
2 200374
3 200948
4 200932
5 200631
6 201129
7 200425
8 200724
9 200711
10 200511
11 20077
12 20106
13 19762

About Dyane Auclair

Dyane Auclair is a scholar working on Physiology, Epidemiology, Organic Chemistry, Rheumatology and Cell Biology, having authored 13 papers that have together received 385 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (11 papers), Trypanosoma species research and implications (7 papers), Carbohydrate Chemistry and Synthesis (4 papers), Glycogen Storage Diseases and Myoclonus (3 papers), Cancer, Hypoxia, and Metabolism (1 paper), Cerebral Palsy and Movement Disorders (1 paper), Neonatal and fetal brain pathology (1 paper) and Autism Spectrum Disorder Research (1 paper). The work is most often cited by research in Physiology (339 citations), Rheumatology (89 citations), Physiology (21 citations), Cell Biology (75 citations) and Epidemiology (155 citations). Dyane Auclair has collaborated with scholars based in Australia, United States and France. Frequent co-authors include John J. Hopwood, Maria Fuller, Allison C. Crawley, Kim M. Hemsley, Sharon Byers, Barbara King, Leanne K. Hein, Craig Hirte, Briony L. Gliddon and Caroline Dean. Their work appears in journals such as Molecular Genetics and Metabolism, Pediatric Research, Neuroscience Research, Brain Research and Behavioural Brain Research.

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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