Kim Moens

617 citations
17 papers · 477 · h-index 13

Impact in

    • Proteins in Food Systems
    • Food Chemistry and Fat Analysis
    • Microencapsulation and Drying Processes
    • Polysaccharides Composition and Applications
    • Food composition and properties

Papers in

    • Proteins in Food Systems 14
    • Food Chemistry and Fat Analysis 13
    • Microencapsulation and Drying Processes 6
    • Polysaccharides Composition and Applications 2
    • Biochemical Analysis and Sensing Techniques 2
    • Food composition and properties 2

Kim Moens

17 papers receiving 471 citations

Peers

Kim Moens
Comparison fields: 5 of 57
  • Food Science 415
  • Nutrition and Dietetics 70
  • Animal Science and Zoology 29
  • Materials Chemistry 77
  • Forestry 6
Replace Parita Thanasukarn with:
Parita Thanasukarn Thailand
Andrés L. Márquez Argentina
Bart Heyman Belgium
Tatiana Porto Santos Brazil
Merete B. Munk Denmark
Eman Ahmed Egypt
Veronique Nelis Belgium
Ruoning Zhang China
Kivia Mislaine Albano Brazil
Philippe Rousset United States
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Citations per field
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Citations per year

Countries citing papers authored by Kim Moens

Since Specialization
Citations

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

Fields of papers citing papers by Kim Moens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2013105
2 201349
3 201844
4 201640
5 201737
6 201834
7 201229
8 201928
9 201419
10 201519
11 201816
12 201815
13 201412
14
Meniscal transplantation: still experimental surgery? A review.
201411
15 20247
16 20196
17 20246

About Kim Moens

Kim Moens is a scholar working on Food Science, Nutrition and Dietetics, Pathology and Forensic Medicine, Plant Science and Surgery, having authored 17 papers that have together received 477 indexed citations. Recurring topics across this work include Proteins in Food Systems (14 papers), Food Chemistry and Fat Analysis (13 papers), Microencapsulation and Drying Processes (6 papers), Biochemical Analysis and Sensing Techniques (2 papers), Polysaccharides Composition and Applications (2 papers), Food composition and properties (2 papers), Phytoestrogen effects and research (2 papers) and Pickering emulsions and particle stabilization (1 paper). The work is most often cited by research in Food Science (415 citations), Nutrition and Dietetics (70 citations), Animal Science and Zoology (29 citations), Materials Chemistry (77 citations) and Forestry (6 citations). Kim Moens has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Koen Dewettinck, Paul Van der Meeren, Bart Heyman, Eveline Fredrick, Iris Tavernier, Sabine Fischer, A.K.M. Masum, Paula Moldenaers, Tom Verwijlen and Nathalie De Clercq. Their work appears in journals such as Food Research International, LWT, International Dairy Journal, Crystal Growth & Design and Journal of Food Engineering.

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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