Maude Dulac

546 citations
23 papers · 374 · h-index 12

Impact in

Papers in

    • Nutrition and Health in Aging 7
    • Adipose Tissue and Metabolism 3
    • Physical Activity and Health 2
    • Mitochondrial Function and Pathology 3
    • Muscle Physiology and Disorders 2

Maude Dulac

19 papers receiving 371 citations

Peers

Maude Dulac
Comparison fields: 5 of 52
  • Complementary and alternative medicine 67
  • Physiology 176
  • Aging 7
  • Geriatrics and Gerontology 12
  • Cell Biology 49
Replace Alireza Ghardashi Afousi with:
Alireza Ghardashi Afousi Iran
Su-Zi Yoo South Korea
K. E. Gavigan United States
Kevin J. Gries United States
Andrew S. Layne United States
Nayoung Ahn South Korea
Yunsuk Koh United States
Étore De Favari Signini Brazil
Floriane Rudwill France
Sophie Julliand France
Maude Dulac relative to Alireza Ghardashi Afousi Iran Alireza Ghardashi Afousi's profile →
Citations per field
00.5×3.3×
Alireza Ghardashi Afousi · 1×
Citations per year

Countries citing papers authored by Maude Dulac

Since Specialization
Citations

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

Fields of papers citing papers by Maude Dulac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202065
2 202346
3 202240
4 201839
5 202136
6 201622
7 201920
8 202218
9 201715
10 202414
11 202012
12 202011
13 201810
14 20199
15 20245
16 20225
17 20233
18 20211
19 20231
20 20171

About Maude Dulac

Maude Dulac is a scholar working on Physiology, Molecular Biology, Complementary and alternative medicine, Cell Biology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 374 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (7 papers), Cardiovascular and exercise physiology (6 papers), Muscle metabolism and nutrition (4 papers), Mitochondrial Function and Pathology (3 papers), Adipose Tissue and Metabolism (3 papers), Muscle Physiology and Disorders (2 papers), Genetic Neurodegenerative Diseases (2 papers) and Physical Activity and Health (2 papers). The work is most often cited by research in Complementary and alternative medicine (67 citations), Physiology (176 citations), Aging (7 citations), Geriatrics and Gerontology (12 citations) and Cell Biology (49 citations). Maude Dulac has collaborated with scholars based in Canada, France and Italy. Frequent co-authors include Gilles Gouspillou, Mylène Aubertin‐Leheudre, Olivier Reynaud, Sabah N. A. Hussain, Jean‐Philippe Leduc‐Gaudet, José A. Morais, Fanny Buckinx, Pierrette Gaudreau, Lívia Pinheiro Carvalho and Philippe Noirez. Their work appears in journals such as The Journal of Physiology, Clinical Nutrition, Experimental Gerontology, Journal of Cachexia Sarcopenia and Muscle and Acta Physiologica.

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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