Maud Cansell

2.0k citations
59 papers · 1.6k indexed · h-index 25

Impact in

    • Proteins in Food Systems
    • Food Chemistry and Fat Analysis
    • Microencapsulation and Drying Processes
    • Polysaccharides Composition and Applications
    • Fatty Acid Research and Health

Papers in

Maud Cansell

59 papers receiving 1.6k citations

Peers

Maud Cansell
Comparison fields: 5 of 110
  • Food Science 775
  • Nutrition and Dietetics 458
  • Pharmaceutical Science 116
  • Biochemistry 103
  • Biochemistry 121
Replace Jolanta Sereikaitė with:
Jolanta Sereikaitė Lithuania
Carlos J. González-Navarro Spain
Dragana Stanić-Vučinić Serbia
Dharma R. Kodali United States
Fawen Yin China
Hyungjae Lee South Korea
Hui‐Jing Li China
Amelia Torcello‐Gómez United Kingdom
Yuting Li China
Yixiang Liu China
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Citations per field
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Jolanta Sereikaitė · 1×
Citations per year

Countries citing papers authored by Maud Cansell

Since Specialization
Citations

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

Fields of papers citing papers by Maud Cansell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202116
2 201910
3 201824
4 201810
5 20176
6 201625
7 201510
8 201125
9 201036
10 201054
11 200711
12 200520
13 200417
14 200240
15 200143
16 200113
17 200021
18 199927
19 199823
20 199815

About Maud Cansell

Maud Cansell is a scholar working on Biochemistry, Nutrition and Dietetics, Food Science, Biomaterials and Biochemistry, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (22 papers), Proteins in Food Systems (21 papers), Food Chemistry and Fat Analysis (19 papers), Lipid metabolism and biosynthesis (14 papers), Lipid Membrane Structure and Behavior (9 papers), Pickering emulsions and particle stabilization (7 papers), Metabolomics and Mass Spectrometry Studies (6 papers) and Microencapsulation and Drying Processes (6 papers). The work is most often cited by research in Food Science (775 citations), Nutrition and Dietetics (458 citations), Pharmaceutical Science (116 citations), Biochemistry (103 citations) and Biochemistry (121 citations). Maud Cansell has collaborated with scholars based in France, Tunisia and Canada. Frequent co-authors include Fernando Leal‐Calderon, Nicole Combe, Fabienne Nacka, P. Barey, C. Granger, Marie Bonnet, Marc Anton, Didier Letourneur, Patrick Sauvant and Leslie Couëdelo. Their work appears in journals such as Colloids and Surfaces B Biointerfaces, Food Chemistry, Food & Function, Journal of Biomedical Materials Research and European Journal of Lipid Science and Technology.

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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